F. Kubler R. Malhotra & H. Polemarchakis

We give conditions under which an individual's preferences can be identified with finite data. First, we derive conditions that guarantee that a finite number of observations of an individual's binary choices identify preferences over an arbitrarily large subset of the choice space and allow one to predict how the individual shall decide when faced with choices not previously encountered. Second, we extend the argument to observations of individual demand. Finally, we show that finitely many observations of Walrasian equilibrium prices and profiles of individual endowments suffice to identify individual preferences and, as a consequence, equilibrium comparative statics.

A. Heifetz, E. Minelli & H. Polemarchakis

What normative constraints should bind parents (or policy makers) if they intervene in the choices of children (or constituencies) whose preferences evolve over time? For a sophisticated child who anticipates correctly his preference change, we prove that generically there exist parental interventions that are Pareto improving over the backward induction path that the child will follow on his own. If, in contrast, the child misperceives his future preferences, Pareto improving interventions might not exist, and even nudges might be painfully sobering. The parent may then choose to minimize the maximal disappointment along time that her benevolent intervention would cause.

Angela S. Bergantino, Mario Intini & Jordi Perdiguero

This paper studies the daily price fixing behaviour of the Spanish fuel stations. Using a difference-in-differences approach, we show that low-cost and independent operators take advantage of needier consumers. Their prices increase on the day the unemployed workers receive their subsidy from the government, whereas, on the same day, branded companies decrease their prices. Retailers, aware of this, raise the price when they know demand increases. This phenomenon emphasises the effect of pay cycles on consumer choices and their related economic impact. Findings are also relevant for Antitrust authorities which generally focus on the activities of major brands’ stations.

Angela Stefania Bergantino, Mario Intini & Nicola Volta

This paper analyses the potential impact of airport competition on technical efficiency by applying the spatial stochastic frontier approach (SSFA) rather than traditional model (SFA). The SSFA allows to isolate the cross-sectional spatial dependence and to evaluate the role of intangible factors in influencing the airport economic performance, through the inclusion of the distance matrix and the shared destinations matrix, calibrated for different distances. By analysing statistical differences between the traditional and the spatial model, it is possible to identify the competition effects. This study includes 206 airports at worldwide level. First, the results show the existence of the spatial component, that could not be otherwise captured by the traditional SFA. Moreover, airport competition is found to affect the efficiency level with either a positive or a negative effect, depending on the distance considered in the spatial model.

James Fenske, Bishnupriya Gupta & Song Yuan

How did the 1918 influenza pandemic affect female labor force participation in India over the short run and the medium run? We use an event-study approach at the district level and four waves of decadal census data in order to answer this question. We find that districts most adversely affeffected by influenza mortality saw a temporary increase in female labor force participation in 1921, an increase that was concentrated in the service sector. By 1931, this increase had been reversed. We find suggestive evidence that distress labor supply by widows and rising wages help account for these results.

Felix Chopra, Ingar Haaland & Christopher Roth

Drawing on representative samples of the U.S. population with more than 15,000 respondents in total, we measure and experimentally vary people’s beliefs about the informativeness of news. Inconsistent with the desire for more information being the dominant motive for people’s news consumption, treated respondents who think that a newspaper is less likely to suppress information reduce their demand for news from this newspaper. Furthermore, treated respondents who think that a news outlet is more likely to make false claims do not reduce their demand for this outlet. These findings strongly suggest that people have other motives to read news that sometimes conflict with their desire for more information. We discuss the implications of our findings for the regulation of media markets.

Ben Lockwood, Francesco Porcelli, Michela Redoano, Emanuele Bracco, Federica Liberini & Daniel Sgroi

This paper makes three contributions. First, it presents a theoretical analysis of how social capital, formalized as trust in politicians, impacts on government performance and turnover, employing a political agency model with both moral hazard and adverse selection. Second, it presents novel measures of both local government performance and on social capital at the Italian municipality level, using administrative data and an online survey respectively. Third, empirical results are consistent with the main predictions of the theory; higher social capital improves both the discipline and selection effects of elections (performance both in the first and final terms in office), but also increases turnover of incumbent mayors.

Daniel Sgroi, Michela Redoano, Federica Liberini, Ben Lockwood, Emanuele Bracco and Francesco Porcelli

Italy became one nation only relatively recently and as such there remains significant regional variation in trust in government and society (so-called “social capital”) as well as in language and diet. In an experiment conducted across three Italian cities we exploit variation in family background generated through internal migration and make use of novel measures of social capital, language and diet to develop a new index of cultural heritage. Our new index predicts social capital, while self-reported identity does not. The missing link between the past and current identity seems to come through grandparents (especially maternal grandmothers) who have a strong role in developing the cultural identity of their grandchildren.

Andreas Haufler & Carlo Perroni

We offer a new explanation for why taxes have become less progressive in many countries in parallel with an increase in income inequality. When performance based compensation differentials are needed to incentivize effort, redistribution through progressive income taxes becomes less precisely targeted. Taxation reduces after-tax income inequality but undermines incentive contracts, lowering effort and raising pre-tax income differentials. Market integration can widen the spread of project returns and make contract choices more responsive to changes in the level of taxation, resulting in a lower optimum income tax rate even when individuals are not inter-jurisdictionally mobile.

Anselm Hager, Lukas Hensel, Johannes Hermle & Christopher Roth

Collective action is the result of the efforts of groups consisting of many individuals. This gives rise to strategic interactions: the decision of an individual to participate in collective action may depend on the efforts of both like-minded and opposing activists. This paper causally studies such strategic interactions in the context of left- and right-wing protests in Germany. In an experiment, we investigated whether randomly varied information on turnout of both like-minded and opposing movements impacts activists’ willingness to protest. In response to information about high turnout of their own group, left-wing activists increased their willingness to protest, consistent with theories of conditional cooperation. In contrast, right-wing activists decreased their willingness to protest, consistent with instrumental accounts and free-riding motives. For both groups, there was no significant reaction to information about turnout of the opposing movement. The results highlight substantial heterogeneity in strategic interactions and motives across the political spectrum.

Thiemo Fetzer & Shizhuo Wang

The United Kingdom (UK) reported record employment levels following its vote to Leave the European Union (EU), leading to many pundits discarding the dire pre-Brexit vote impact assessments as part of “project fear.” This paper studies the cost of the Brexit-vote to date across UK regions finding significant evidence suggesting that the economic costs of the Brexit-vote are both sizeable and far from evenly distributed. Among 382 districts, at least 168 districts appear to be Brexit-vote losers, having lost, on average 8.54 percentage points of output in 2018 compared to their respective synthetic controls. The Brexit-vote costs are increasing in a districts: a) support for Leave in 2016; b) the size of its manufacturing sector; c) the share of low skilled. The Brexit vote induced economic divergence across regions is already exacerbating the regional economic inequalities that the 2016 EU referendum vote made apparent. Indirect evidence further suggests that firms may, amidst the significant (trade) policy uncertainty, have shifted away from capital to labor in the short term given that Brexit has, to date, not led to changes in market access. The resulting short-term employment- and payroll growth post-2016 is not supported by productivity increases in most parts of the UK. This sets up the possibility for significant labor market adjustments once Brexit becomes a defacto reality. Further, there is some evidence suggesting that COVID19 may exacerbate the regional economic impact of the Brexit-vote to date.

Luis E. Candelaria

This paper analyzes a semiparametric model of network formation in the presence of unobserved agent-specific heterogeneity. The objective is to identify and estimate the preference parameters associated with homophily on observed attributes when the distributions of the unobserved factors are not parametrically specified. This paper offers two main contributions to the literature on network formation. First, it establishes a new point identification result for the vector of parameters that relies on the existence of a special regressor. The identification proof is constructive and characterizes a closed-form for the parameter of interest. Second, it introduces a simple two-step semiparametric estimator for the vector of parameters with a first-step kernel estimator. The estimator is computationally tractable and can be applied to both dense and sparse networks. Moreover, I show that the estimator is consistent and has a limiting normal distribution as the number of individuals in the network increases. Monte Carlo experiments demonstrate that the estimator performs well in finite samples and in networks with different levels of sparsity.

Anselm Hager, Lukas Hensel, Johannes Hermle & Christopher Roth

Does party competition affect political activism? This paper studies the decision of party supporters to join political campaigns. We present a framework that incorporates supporters’ instrumental and expressive motives and illustrates that party competition can either increase or decrease party activism. To distinguish between these competing predictions, we implemented a field experiment with a European party during a national election. In a seemingly unrelated party survey, we randomly assigned 1,417 party supporters to true information that the canvassing activity of the main competitor party was exceptionally high. Using unobtrusive, real-time data on party supporters’ canvassing behavior, we find that treated respondents are 30 percent less likely to go canvassing. To investigate the causal mechanism, we leverage additional survey evidence collected two months after the campaign. Consistent with affective accounts of political activism, we show that increased competition lowered party supporters’ political self-efficacy, which plausibly led them to remain inactive.

Pierre Bachas, Lucie Gadenne & Anders Jensen

Can consumption taxes reduce inequality in developing countries? We combine household expenditure data from 31 countries with theory to shed new light on the redistributive potential and optimal design of consumption taxes. We use the type of store in which purchases occur to proxy for informal (untaxed) consumption. This enables us to characterize the informality Engel curve: we find that the budget share spent in the informal sector steeply declines with income, in all countries. The informal sector thus makes consumption taxes progressive: households in the richest quintile face an effective tax rate that is twice that of the poorest quintile. We extend the standard optimal commodity tax model to allow for informal consumption and calibrate it to the data to study the effects of different tax policies on inequality. Contrary to consensus, we show that consumption taxes are redistributive, lowering inequality by as much as personal income taxes. Once informality is taken into account, commonly used redistributive policies, such as reduced tax rates on necessities, have a limited impact on inequality. In particular, subsidizing food cannot be justified on equity or efficiency grounds in several poor countries.

Vimal Balasubramaniam, Apurav Yash Bhatiya & Sabyasachi Das

We examine whether holding national and state elections simultaneously or sequentially affects voter decisions and consequently, electoral and economic outcomes in India. Synchronized elections increase the likelihood of the same political party winning constituencies in both tiers by 21%. It reduces split-ticket voting, increases the salience of party among voters and shifts voters’ priority to state issues, without significantly affecting turnout and winning margin. A model of behaviorally constrained voters with costly information acquisition best explains our results. Finally, synchronization results in insignificant economic gains. Our findings have implications for the design of elections to multiple tiers of government.

Ingar Haaland, Christopher Roth & Johannes Wohlfart

We review methodological questions relevant for the design of information provision experiments. We first provide a literature review of major areas in which information provision experiments are applied. We then outline key measurement challenges and design recommendations that may be of help for practitioners planning to conduct an information experiment. We discuss the measurement of subjective beliefs, including the role of incentives and ways to reduce measurement error. We also discuss the design of the information intervention, as well as the measurement of belief updating. Moreover, we describe ways to mitigate potential experimenter demand effects and numerical anchoring arising from the information treatment. Finally, we discuss typical effect sizes in information experiments.

Leonardo Bursztyn, Akaash Rao, Christopher Roth & David Yanagizawa-Drott

We study the effects of COVID-19 coverage early in the pandemic by the two most popular cable news shows in the US, both on Fox News, on health outcomes. We document large differences in content between the shows and in cautious behavior among viewers. Through both a selection-on-observables strategy and a novel instrumental variable approach, we find that areas with greater exposure to the show downplaying the threat of COVID-19 experienced a greater number of cases and deaths. We assess magnitudes through an epidemiological model highlighting the role of externalities and provide evidence that misinformation is a key underlying mechanism

Sascha O. Becker, Jared Rubin & Ludger Woessmann

This chapter surveys the recent social science literature on religion in economic history, covering both socioeconomic causes and consequences of religion. Following the rapidly growing literature, it focuses on the three main monotheisms—Judaism, Christianity, and Islam—and on the period up to WWII. Works on Judaism address Jewish occupational specialization, human capital, emancipation, and the causes and consequences of Jewish persecution. One set of papers on Christianity studies the role of the Catholic Church in European economic history since the medieval period. Taking advantage of newly digitized data and advanced econometric techniques, the voluminous literature on the Protestant Reformation studies its socioeconomic causes as well as its consequences for human capital, secularization, political change, technology diffusion, and social outcomes. Works on missionaries show that early access to Christian missions still has political, educational, and economic consequences in present-day Africa, Asia, and Latin America. Much of the economics of Islam focuses on the role that Islam and Islamic institutions played in political-economy outcomes and in the “long divergence” between the Middle East and Western Europe. Finally, cross-country analyses seek to understand the broader determinants of religious practice and its various effects across the world. We highlight three general insights that emerge from this literature. First, the monotheistic character of the Abrahamic religions facilitated a close historical interconnection of religion with political power and conflict. Second, human capital often played a leading role in the interconnection between religion and economic history. Third, many socioeconomic factors matter in the historical development of religions.

Mark Dincecco, James Fenske, Anil Menon & Shivaji Mukherjee

We analyze the relationship between pre-colonial warfare and long-run development patterns in India. We construct a new geocoded database of historical interstate conflicts on the Indian subcontinent, from which we compute measures of local exposure to pre-colonial warfare. We document a positive and significant relationship between pre-colonial conflict exposure and local economic development across India today. This result is robust to numerous checks, including controls for geographic endowments, initial state capacity, colonial-era institutions, ethnic and religious fractionalization, and colonial and post-colonial conflict, and an instrumental variables strategy that exploits variation in pre-colonial conflict exposure driven by cost distance to the Khyber Pass. Drawing on rich archival and secondary data, we show that districts that were more exposed to pre-colonial conflict experienced greater local pre-colonial and colonial-era state-making, and less political violence and higher infrastructure investments in the long term. We argue that reductions in local levels of violence and greater investments in physical capital were at least in part a function of more powerful local government institutions.

Jordi GalÌ & Thijs van Rens

We document two changes in postwar US macroeconomic dynamics: the procyclicality of labour productivity vanished, and the relative volatility of employment rose. We propose an explanation for these changes that is based on reduced hiring frictions due to improvements in information about the quality of job matches and the resulting decline in turnover. We develop a simple model with hiring frictions and variable effort to illustrate the mechanisms underlying our explanation. We show that our model qualitatively and quantitatively matches the observed changes in business cycle dynamics.

Debraj Ray and S. Subramanian

Our goal is to provide an interim report on the Indian lock down provoked by the covid19 pandemic. While our main themes — ranging from the philosophy of lock down to the provision of relief measures — transcend the Indian case, our context is deeply India-specific in several senses that we hope will become clear through the article. A fundamental theme that recurs throughout our writing is the enormous visibility of covid19 deaths worldwide,now that sensitivities and anxieties regarding the pandemic have been honed to an extreme sharpness. Governments everywhere are propelled to respect this visibility, developing countries perhaps even more so than their developed counterparts. In advanced economies, the cost of achieving this reduction in visible deaths is“merely”a dramatic reduction in overall economic activity,coupled with a far reaching relief package to partly compensate those who bear such losses. But for India, adevelopingcountrywithgreatsectoralandoccupationalvulnerabilities,this dramatic reduction is more than economics: it means lives lost. These lost lives,through violence, starvation, indebtedness and extreme stress, both psychological and physiological, are invisible, in the sense that they are—and will continue to be—diffuse in space, time, cause and category. They will blend into the surrounding landscape; they are not news, though the intrepid statistician or economist will pick them up as the months go by. It is this conjunction of visibility and invisibility that drives the Indian response. The lock down meets all international standards so far; the relief package none.

David Ronayne, Daniel Sgroi and Anthony Tuckwell

We provide experimental evidence of behavior consistent with the sunk cost effect. Subjects who earned a lottery via a real-effort task were given an opportunity to switch to a dominant lottery; yet 23% chose to stick with their dominated lottery. The endowment effect accounts for roughly only one third of the effect. Subjects’ capacity for cognitive reflection is a significant determinant of sunk cost behavior. We also find stocks of knowledge or experience (crystallized intelligence) predict sunk cost behavior, rather than algorithmic thinking (fluid intelligence) or the personality trait of openness. We construct and validate a scale, the “SCE-8”, which encompasses many resources individuals can spend, and offers researchers an efficient way to measure susceptibility to the sunk cost effect.

Nicholas Crafts

I examine the implications of technological change for productivity, real wages and factor shares during the industrial revolution using recently available data. This shows that real GDP per worker grew faster than real consumption earnings but labour’s share of national income changed little as real product wages grew at a similar rate to labour productivity in the medium term. The period saw modest TFP growth which limited the growth both of real wages and of labour productivity. Economists looking for an historical example of rapid labour-saving technological progress having a seriously adverse impact on labour’s share must look elsewhere.

Lena Hensvik, Thomas Le Barbanchon & Roland Rathelot

This paper measures the job-search responses to the COVID-19 pandemic using realtime data on vacancy postings and ad views on Sweden’s largest online job board. First, the labour demand shock in Sweden is as large as in the US, and affects industries and occupations heterogeneously. Second, the scope and direction of search change. Job seekers respond to the shock by searching less intensively and by redirecting their search towards less severely hit occupations, beyond what changes in labour demand would predict. The redirection of job search changes relative hiring costs, and has the potential to amplify labour demand shifts. Keywords: coronavirus, search intensity, search direction, labour demand shock, job vacancies, online job board

Thiemo Fetzer, Marc Witte, Lukas Hensel, Jon M. Jachimowicz, Johannes Haushofer, Andriy Ivchenko, Stefano Caria, Elena Reutskaja, Christopher Roth, Stefano Fiorin, Margarita Gomez, Gordon Kraft-Todd, Friedrich M. Goetz, Erez Yoeli

We conducted a large-scale survey covering 58 countries and over 100,000 respondents between late March and early April 2020 to study beliefs and attitudes towards citizens’ and governments’ responses to the COVID-19 pandemic. Most respondents reacted strongly to the crisis: they report engaging in social distancing and hygiene behaviors, and believe that strong policy measures, such as shop closures and curfews, are necessary. They also believe that their government and their country’s citizens are not doing enough and underestimate the degree to which others in their country support strong behavioral and policy responses to the pandemic. The perception of a weak government and public response is associated with higher levels of worries and depression. Using both cross-country panel data and an event-study, we additionally show that strong government reactions correct misperceptions, and reduce worries and depression. Our findings highlight that policy-makers not only need to consider how their decisions affect the spread of COVID-19, but also how such choices influence the mental health of their population.

David Lagakos, Samuel Marshall, Ahmed Mushfiq Mobarak, Corey Vernot & Michael E. Waugh

Recent studies find that observational returns to rural-urban migration are near zero in three developing countries. We revisit this result using panel tracking surveys from six countries, finding higher returns on average. We then interpret these returns in a multi-region Roy model with heterogeneity in migration costs. In the model, the observational return to migration confounds the urban premium and the individual benefits of migrants, and is not directly informative about the welfare gain from lowering migration costs. Patterns of regional heterogeneity in returns, and a comparison of experimental to observational returns, are consistent with the model’s predictions.

Sascha O. Becker & Francesco Cinnirella

We provide, for the first time, a detailed and comprehensive overview of the demography of more than 50,000 towns, villages, and manors in 1871 Prussia. We study religion, literacy, fertility, and group segregation by location type (town, village, and manor). We find that Jews live predominantly in towns. Villages and manors are substantially segregated by denomination, whereas towns are less segregated. Yet, we find relatively lower levels of segregation by literacy. Regression analyses with county-fixed effects show that a larger share of Protestants is associated with higher literacy rates across all location types. A larger share of Jews relative to Catholics is not significantly associated with higher literacy in towns, but it is in villages and manors. Finally, a larger share of Jews is associated with lower fertility in towns, which is not explained by differences in literacy.

Mark Harrison

In two world wars, both sides committed substantial resources to economic warfare. Before the event, influential thinkers believed that the threat of blockade (and later of bombing) would deter aggression. When war broke out, they hoped that economic action might bring the war to a close without the need for a conclusive military struggle. Why were they disappointed, and what was the true relationship between economic warfare and combat between military forces? The answer to this question depends on the effects of economic warfare, which can be understood only after considering the adversary’s adaptation. When the full range of adaptations is considered, it becomes clear that economic warfare and combat were usually strategic complements; they acted together and did not substitute for each other. The paper examines this question both in breadth and more narrowly, focusing on the Allied air campaign against Germany in World War II. There are implications for history and policy.

Monica Giovanniello and Carlo Perroni

We characterize timing choices in investments towards the conservation of a global common and derive implications for interventions to contain the spread of a contagious disease.

Lena Hensvik, Thomas Le Barbanchon and Roland Rathelot

Which jobs are more likely to be affected by mobility restrictions due to the Covid-19 pandemic? This paper uses American Time Use Survey data to measure the share of the work hours that are spent at home for different job categories. We compute and provide home-working shares by occupation (US census classification, SOC and international ISCO classification), and by industry (US census classification, NAICS and international ISIC classification).

Arun Advani & Andy Summers

Aggregate taxable capital gains in UK have tripled in past decade. Using confidential administrative data on the universe of UK taxpayers, we show that including gains changes the picture of UK inequality over the past two decades. These taxable gains are largely repackaged income, so their exclusion biases the picture of inequality. Including them changes who is at the top of the distribution, adding more business owners and older people. The share of income plus gains (both pre- and post-tax) going to the top 1% is 3pp higher than for income only, and this gap has been steadily rising.

Neha Bose

Immigration and attitudes towards immigration have been key features in economic development and political debate for decades. It can be hard to disentangle true beliefs about immigrants even where we have seemingly strong evidence such as the voting records of politicians. This paper builds an \immigration corpus" consisting of 24,351 U.S. congressional speeches relevant to immigration issues between 1990-2015. The corpus is used to form two distinct measures of attitude towards immigrants - one based on sentiment (or valence) and one based on the concreteness of language. The lexical measures, particularly sentiment, show systematic variation over time and across states in a manner consistent with the history and experiences of immigrants in the USA. The paper also computes a speaker specific measure of sentiment towards immigrants which is found to be a significant positive predictor of voting behaviour with respect to immigration related bills. Applying a Latent Dirichlet Allocation (LDA) topic modelling algorithm provides further insight into how different topics (such as border security or national security) have risen and fallen in importance over time in the face of key events such as 9/11.

Luis E. Candelaria & Takuya Ura

This paper considers a network formation model when links are potentially measured with error. We focus on a game-theoretical model of strategic network formation with incomplete information, in which the linking decisions depend on agents’ exogenous attributes and endogenous network characteristics. In the presence of link misclassification, we derive moment conditions that characterize the identified set for the preference parameters associated with homophily and network externalities. Based on the moment equality conditions, we provide an inference method that is asymptotically valid when a single network of many agents is observed. Finally, we apply our proposed method to study trust networks in rural villages in southern India.

Riccardo Degasperi, Seokki Simon Hong & Giovanni Ricco

This paper studies the transmission of US monetary shocks across the globe by employing a high-frequency identification of policy shocks and large VAR techniques, in conjunction with a large macro-financial dataset of global and national indicators covering both advanced and emerging economies. Our identification controls for the information effects of monetary policy and allows for the separate analysis of tightenings and loosenings of the policy stance. First, we document that US policy shocks have large real and nominal spillover effects that affect both advanced economies and emerging markets. Policy actions cannot fully isolate national economies, even in the case of advanced economies with flexible exchange rates. Second, we investigate the channels of transmission and find that both trade and financial channels are activated and that there is an independent role for oil and commodity prices. Third, we show that effects are asymmetric and larger in the case of contractionary US monetary policy shocks. Finally, we contrast the transmission mechanisms of countries with different exchange rates, exposure to the dollar, and capital control regimes.

Elliott Ash, Daniel L. Chen and Arianna Ornaghi

Stereotypes are thought to be an important determinant of decision making, but they are hard to systematically measure, especially for individuals in policy-making roles. In this paper, we propose and implement a novel language-based measure of gender stereotypes for the high-stakes context of U.S. Appellate Courts. We construct a judge-specific measure of gender stereotyped language use – gender slant – by looking at the linguistic association of words identifying gender (male versus female) and words identifying gender stereotypes (career versus family) in the judge’s authored opinions. Exploiting quasi-random assignment of judges to cases and conditioning on detailed biographical characteristics of judges, we study how gender stereotypes influence judicial behaviour. We find that judges with higher slant vote more conservatively on women’s rights’ issues (e.g. reproductive rights, sexual harassment, and gender discrimination). These more slanted judges also influence workplace outcomes for female colleagues: they are less likely to assign opinions to female judges, they are more likely to reverse lower-court decisions if the lower-court judge is a woman, and they cite fewer female authored opinions.

Sascha O. Becker, Lukas Mergele, and Ludger Woessmann

German separation in 1949 into a communist East and a capitalist West and their reunification in 1990 are commonly described as a natural experiment to study the enduring effects of communism. We show in three steps that the populations in East and West Germany were far from being randomly selected treatment and control groups. First, the later border is already visible in many socio-economic characteristics in pre-World War II data. Second, World War II and the subsequent occupying forces affected East and West differently. Third, a selective fifth of the population fled from East to West Germany before the building of the Wall in 1961. In light of our findings, we propose a more cautious interpretation of the extensive literature on the enduring effects of communist systems on economic outcomes, political preferences, cultural traits, and gender roles.

Clement Imbert, Marlon Seror, Yanos Zylberberg and Yifan Zhang

How does rural-urban migration shape urban production in developing countries? We use longitudinal data on Chinese manufacturing firms between 2001 and 2006, and exploit exogenous variation in rural-urban migration induced by agricultural price shocks for identification. We find that, when immigration increases, manufacturing production becomes more labor-intensive in the short run. In the longer run, firms innovate less, move away from capital-intensive technologies, and adopt final products that use low-skilled labor more intensively. We develop a model with endogenous technological choice, which rationalizes these findings, and we estimate the effect of migration on factor productivity and factor allocation across firms.

Clément Imbert and John Papp

This paper provides new evidence on rural-urban migration decisions in developing countries. Using original survey data from rural India, we show that seasonal migrants prefer to earn 35 percent less on local public works rather than incur the cost of migrating. Structural estimates suggest that the fixed cost of migration is small, and can be entirely explained by travel costs and income risk. In contrast, the flow cost of migration is very high. We argue that higher living costs in the city explain only a small part of the flow cost of migration, and that most of it is non-monetary.

Jan-Emmanuel De Neve, Clement Imbert, Johannes Spinnewijn, Teodora Tsankova and Maarten Luts

We study the impact of simplification, deterrence and tax morale on tax compliance. We ran five natural field experiments varying the communication of the tax administration with the universe of income taxpayers in Belgium throughout the tax process. A consistent picture emerges across experiments: (i) simplifying communication substantially increases compliance, (ii) deterrence messages have an additional positive effect, (iii) invoking tax morale is not effective, and often backfires. A discontinuity in enforcement intensity, combined with the experimental variation, allows us to compare simplification with standard enforcement measures. We find that simplification is far more cost-effective, allowing for substantial savings on enforcement costs

Robert Akerlof, Hongyi Li, and Jonathan Yeo

This paper uses a laboratory experiment to study competitions for power — and the role of patronage in such competitions. We construct and analyze a new game — the “chicken-and-egg game” — in which chickens correspond to positions of power and eggs are the game’s currency. We find that power tends to accumulate ,through a “power begets power” dynamic, in the hands of “lords.” Other subjects behave like their vassals in the sense that they take lords’ handouts rather than compete against them. We observe substantial wealth inequality as well as power inequality. There are also striking gender differences in outcomes — particularly in rates of lordship. In a second treatment, where we eliminate patronage by knocking out the ability to transfer eggs, inequality is vastly reduced and the “power begets power” dynamic disappears.

Claudio Mezzetti

This paper studies disclosure of verifiable information by a privately informed expert. It shows that if the direction of the expert’s bias is uncertain, then a positive measure of expert types manipulate the decision maker fully, inducing her to choose their ideal outcome. Most other types manipulate partially. The decision maker obtains her first best outcome only if the expert is unbiased or the state of the world is a boundary point of the state space and the expert prefers a more extreme outcome. Experts benefit from being poker faced and the decision maker’s lack of familiarity with the problem.

Simon Loertscher & Claudio Mezzetti

The price mechanism is fundamental to economics but difficult to reconcile with incentive compatibility and individual rationality. We introduce a double clock auction for a homogeneous good market with multi-dimensional private information and multi-unit traders that is deficit-free, ex post individually rational, constrained efficient, and makes sincere bidding a dominant strategy equilibrium. Under a weak dependence and an identifiability condition, our double clock auction is also asymptotically efficient. Asymptotic efficiency is achieved by estimating demand and supply using information from the bids of traders that have dropped out and following a tatonnement process that adjusts the clock prices based on the estimates.

Piero Gottardi & Claudio Mezzetti

We propose a mechanism design approach to study the role of a mediator in dispute resolution and bargaining. The mediator provides a buyer and a seller with “reality checks” by controlling the information each party has about her own value for a transaction, and proposes a price at which trade can occur if parties agree. We first consider the class of static information disclosure and trading mechanisms, in which the mediator simultaneously selects the information disclosed to the parties and posts the price at which they can trade. We characterize the mechanism that maximizes the ex-ante gains from trade. We show it is optimal to restrict agents’ information, as this allows to increase the volume of trade and complete some of the most valuable trades that are lost in the welfare maximizing mechanism under full information. We then study the value of the mediator engaging in “shuttle diplomacy” by considering a class of dynamic information disclosure and trading mechanisms, and show that it is possible to design a dynamic mechanism that achieves ex-post efficiency. Shuttle diplomacy facilitates trade by allowing the mediator to condition information releases and prices posted on the history of feedbacks she receives from the parties during her meetings with them.

Lorenzo Magnolfi and Camilla Roncoroni

We propose a method to estimate static discrete games with weak assumptions on the information available to players. We do not fully specify the information structure of the game, but allow instead for all information structures consistent with players knowing their own payoffs and the distribution of opponents’ payoffs. To make this approach tractable we adopt a weaker solution concept: Bayes Correlated Equilibrium (BCE), developed by Bergemann and Morris (2016). We characterize the sharp identified set under the assumption of BCE and no assumptions on equilibrium selection, and find that in simple games with modest variation in observable covariates identified sets are narrow enough to be informative. In an application, we estimate a model of entry in the Italian supermarket industry and quantify the effect of large malls on local grocery stores. Parameter estimates and counterfactual predictions differ from those obtained under the restrictive assumption of complete information.

Federico Rossi

The role of human capital in facilitating macro-economic development is at the center of both academic and policy debates. Through the lens of a simple aggregate production function, human capital might increase output per capita by directly entering in the production process, incentivising the accumulation of complementary inputs and facilitating the adoption of new technologies. This paper discusses the advantages and limitations of three approaches that have been used to evaluate the empirical importance of these channels: cross-country regressions, development accounting and quantitative models. The key findings in the literature are reviewed, and some of them are replicated using updated data. The bulk of the evidence suggests that human capital is an important determinant of cross-country income gaps,especially when its measurement is broadened to go beyond simple proxies of educational attainment. The paper concludes by highlighting policy implications and promising avenues for future work.

Thijs van Rens & Marija Vukotic

Estimated impulse responses of investment and hiring typically peak well after the impact of a shock. Standard models with adjustment costs in capital and labour do not exhibit such delayed adjustment, but we argue that it arises naturally when we relax the assumption that the production technology is separable over time. This result holds for both non-convex and convex cost functions, and for reasonable parameter values the effect is strong enough to match the persistence observed in the data. We discuss some evidence for our explanation and ways to test the model.

Marta Santamaria

This paper quantifies the gains from infrastructure investments and shows that reshaping the highway network after a large economic shock, the division of Germany, had positive welfare and income effects. To address the endogeneity between infrastructure and economic outcomes, I develop a multi-region quantitative trade model where infrastructure is chosen by the government to maximise welfare. I calibrate the model to the pre war German economy and estimate the key structural parameter of the model using the pre war Highway Plan. I exploit the division of Germany, a large-scale exogenous shock to economic fundamentals, to show that the model can predict changes in highway construction after the division. Using newly collected data, I document that half of the new highway investments deviated from the pre war Highway Plan. I find that the reallocation of these investments (one-third of the network) increased real income by 0.69% to 2% each year, compared to the construction of the original pre war Plan. Finally, I find a large cost of path-dependence: the ability to reshape the full network in anticipation of the division could have increased real income by an additional 1.85%.

Kenichi Nagasawa

This paper presents identification and estimation results for causal effects of group-level variables when agents select into groups. I specify a triangular system of equations to model outcome determination and group selection, accommodating general non separable models. Using conditional independence and completeness assumptions, I show that the group-level distribution of individual characteristics is a valid control function, conditional on which group-level variables of interest become exogenous. Building on this result, I identify average effects under a common support condition. The key identifying requirements are more plausible in settings where a rich array of individual characteristics are observed. For the identified parameter, I construct a kernel-based estimator and prove its consistency. Although the identification argument uses completeness, the estimation procedure does not involve solving for an ill-posed integral equation.

Mario Intini and Michael Waterson

In Britain, the key source of renewable generation is wind, most abundant on the west coast of Scotland, where there is relatively little demand. For this reason, an interconnector, the Western Link, was built to take electricity closer to demand. When the Link is operating, payments by National Grid to constrain wind farms not to produce will be lower, we may predict, since fewer or less restrictive constraints need be imposed. But the Link has not been working consistently. We empirically estimate the link’s value. Focusing on the three most recent episodes of outage, starting on 4th May 2018 up to 25th September 2019, our essential approach is to treat these outages as a natural experiment using hourly data. Our results reveal that the Link had an important role in costs saved and price constrained and MWh curtailed reductions. We estimate a cost-saving of almost £30m. However, the saving appears to drop over time, so we investigate wind farms’ behaviour. We find that wind farms behave strategically since the accuracy of wind forecasting depends on the relevant prices impacting their earnings

Abhijit Banerjee, Amy Finkelstein, Rema Hanna, Benjamin Olken & Arianna Ornaghi

To assess ways to achieve widespread health insurance coverage with financial solvency in developing countries, we designed a randomized experiment involving almost 6,000 households in Indonesia who are subject to a nationally mandated government health insurance program. We assessed several interventions that simple theory and prior evidence suggest could increase coverage and reduce adverse selection: substantial temporary price subsidies (which had to be activated within a limited time window and lasted for only a year), assisted registration, and information. Both temporary subsidies and assisted registration increased initial enrolment. Temporary subsidies attracted lower cost enrolees, in part by eliminating the practice observed in the no subsidy group of strategically timing coverage for a few months during health emergencies. As a result, while subsidies were in effect, they increased coverage more than eightfold, at no higher unit cost; even after the subsidies ended, coverage remained twice as high, again at no higher unit cost. However, the most intensive (and effective) intervention – assisted registration and a full one-year subsidy – resulted in only a 30 percent initial enrollment rate, underscoring the challenges to achieving widespread coverage.

Amrita Dhillon, Pramila Krishnan, Manasa Patnam and Carlo Perroni

We look at the formation of new Indian states in 2001 to uncover the effects of political secession on the comparative economic performance of natural resource rich and natural resource poor areas. Resource rich constituencies fared comparatively worse within new states that inherited are relatively larger proportion of natural resources. We argue that these patterns reflect how political reorganisation affected the quality of state governance of natural resources. We describe a model of collusion between state politicians and resource rent recipients that can account for the relationships we see in the data between natural resource abundance and post-break up local outcomes.

James Fenske, Alessandro Castagnetti and Karmini Sharma

In many settings, economic outcomes depend on the competence and effort of the agents involved, and also on luck. When principals assess agents’ performance they can suffer from attribution bias by gender: male agents may be assessed more favorably than female agents because males will be rewarded for good luck, while women are punished for bad luck. We conduct a laboratory experiment to test whether principals judge agents’ outcomes differently by gender. Agents perform tasks for the principals and the realized outcomes depend on both the agents’ performance and luck. Principals then assess agents’ performance and decide what to pay the agents. Our experimental results do not show evidence consistent with attribution bias by gender. While principals’ payments and beliefs about agent performance are heavily influenced by realized outcomes, they do not depend on the gender of the agent. We find suggestive evidence that the interaction between the gender of the principal and the agent plays a role. In particular, principals are more generous to agents of the opposite gender.

Graciela Chichilnisky, Peter J. Hammond & Nicholas Stern

Ramsey famously condemned discounting “future enjoyments” as “ethically indefensible”. Suppes enunciated an equity criterion which, when social choice is utilitarian, implies giving equal weight to all individuals’ utilities. By contrast, Arrow (1999a, b) accepted, perhaps reluctantly, what he called Koopmans’ (1960) “strong argument” implying that no equitable preference ordering exists for a sufficiently unrestricted domain of infinite utility streams. Here we derive an equitable utilitarian objective for a finite population based on a version of the Vickrey–Harsanyi original position, where there is an equal probability of becoming each person. For a potentially infinite population facing an exogenous stochastic process of extinction, an equitable extinction biased original position requires equal conditional probabilities, given that the individual’s generation survives the extinction process. Such a position is well-defined if and only if survival probabilities decline fast enough for the expected total number of individuals who can ever live to be finite. Then, provided that each individual’s utility is bounded both above and below, maximizing expected “extinction discounted” total utility — as advocated, inter alia, by the Stern Review on climate change — provides a coherent and dynamically consistent equitable objective, even when the population size of each generation can be chosen

Dan Bernhardt, Kostas Koufopoulos and Giulio Trigilia

Donaldson, Gromb and Piacentino (2019) suggest that, in the presence of limited commitment, increasing the fraction of a firm’s cash flows that can be pledged as collateral might make the firm worse off. We show that, in fact, firms can never be hurt by increased pledgeability of cash flows in their framework. We then show that the first best can always be implemented by non-state contingent collateralized debt contracts that differ from the ones they consider.

Laura Derksen, Catherine Michaud Leclerc and Pedro CL Souza

Young people across the developing world are gaining access to the internet. Can schools introduce the internet in a way that promotes reading and learning? We provide Wikipedia access to a random subset of secondary school students in Malawian boarding schools. This setting is unique: students otherwise have limited study resources and no internet access. Students used Wikipedia intensively, and found it accessible and trustworthy. They developed a preference for Wikipedia over other online sources, including for information about news events and safe sex. We find a large impact on English final exam scores (.11 standard deviations), especially for low achievers(.21 standard deviations). Students also used Wikipedia to study for Biology, and exam scores increased for low achievers (.17 standard deviations). Our result simply that Wikipedia is a source of simple and engaging reading material, and can improve English language skills. It is also a source of accessible study material that increases study time productivity for low achievers.

Timothy Besley, Thiemo Fetzer and Hannes Mueller

This paper studies the economic effects of news-coverage of violent events. To do so, we combine monthly aggregated and anonymized credit card data on tourism spending from 114 origin countries and 5 tourist destinations (Turkey, Egypt, Tunisia, Israel and Morocco) with a large corpus of more than 446 thousand newspaper articles covering news on the 5 destination countries from a subset of 57 tourist origin countries. We document that violent events in a destination are followedbysharpspikesinnegativereportingatoriginandcontractionsintourist activity. Media coverage of violence has a large independent effect on tourist spending beyond what can be accounted for by controlling for the incidence of violence. We develop a model in which tourist beliefs, actual violence and media reporting are modelled together. This model allows us to quantify the effect of violent events and reporting.

Holger Breinlich, Elsa Leromain, Dennis Novy and Thomas Sampson

This paper studies how the depreciation of sterling following the Brexit referendum affected consumer prices in the United Kingdom. Our identification strategy uses input-output linkages to account for heterogeneity in exposure to import costs across product groups. We show that, after the referendum, inflation increased by more for product groups with higher import shares in consumer expenditure. This effect is driven by both direct consumption of imported goods and the use of imported inputs in domestic production. Our results are consistent with complete pass-through of import costs to consumer prices and imply an aggregate exchange rate pass-through of 0.29. We estimate the Brexit vote increased consumer prices by 2.9 percent, costing the average household £870 per year. The increase in the cost of living is evenly shared across the income distribution, but differs substantially across regions.

Natalie Chen and Luciana Juvenal

We investigate theoretically and empirically how exporters adjust their mark ups across destinations depending on bilateral distance, tariffs, and the quality of their exports. Under the assumption that trade costs are both ad valorem and per unit, our model predicts that mark ups rise with distance and fall with tariffs, but these effects are heterogeneous and are smaller in magnitude for higher quality exports. We find strong support for the predictions of the model using a unique data set of Argentinean firm-level wine exports combined with experts wine ratings as a measure of quality.

Thiemo Fetzer, Srinjoy Sen & Pedro CL Souza

Homelessness and precarious living conditions are on the rise across much of theWesternworld. Thispaperexploitsexogenousvariationintheaffordability of rents due to a cut that substantially lowered housing benefit – a welfare benefit aimed at helping low income households pay rent. Before April 2011, local housing allowance covered up to the median level of market rents; from April 2011 onwards, only rents lower than the 30th percentile were covered. We exploit that the extent of cuts significantly depend on statistical noise due to estimation of percentiles. We document that the affordability shock caused a significant increase in: evictions; individual bankruptcies; property crimes; share of households living in insecure temporary accommodation; statutory homelessness and actual rough sleeping. The fiscal savings of the cut are much smaller than anticipated. We estimate that for every pound saved by the central government, council spending to meet statutory obligations for homelessness prevention increases by 53 pence. We further document political effects: the housing benefit cut causes lower electoral registration rates and is associated with lower turnout and higher support for Leave in the 2016 EU referendum, most likely driven by its unequal impact on the composition of those that engage with democratic processes.

Arthur Blouin & Sharun W. Mukand

This paper examines whether propaganda broadcast over radio helped to change interethnic attitudes in post-genocide Rwanda. We exploit variation in exposure to the government’s radio propaganda due to the mountainous topography of Rwanda. Results of lab-in-the-field experiments show that individuals exposed to government propaganda have lower salience of ethnicity, increased inter-ethnic trust and show more willingness to interact face-to-face with members of another ethnic group. Our results suggest that the observed improvement in inter-ethnic behavior is not cosmetic, and reflects a deeper change in interethnic attitudes. The findings provide some of the first quantitative evidence that the salience of ethnic identity can be manipulated by governments.

Alexandre Belloni, Mingli Chen, Oscar Hernan Madrid Padilla, and Zixuan (Kevin) Wang

We propose a generalization of the linear panel quantile regression model to accommodate both sparse and dense parts: sparse means while the number of covariates available is large, potentially only a much smaller number of them have a nonzero impact on each conditional quantile of the response variable; while the dense part is represented by a low-rank matrix that can be approximated by latent factors and their loadings. Such a structure poses problems for traditional sparse estimators, such as the `1-penalised Quantile Regression, and for traditional latent factor estimator, such as PCA. We propose a new estimation procedure, based on the ADMM algorithm, that consists of combining the quantile loss function with `1 and nuclear norm regularization. We show, under general conditions, that our estimator can consistently estimate both the nonzero coefficients of the covariates and the latent low-rank matrix. Our proposed model has a “Characteristics + Latent Factors” Asset Pricing Model interpretation: we apply our model and estimator with a large-dimensional panel of financial data and find that (i) characteristics have sparser predictive power on latent factors were controlled (ii) the factors and coefficients at upper and lower quantiles are different from the median.

Peter J. Hammond, Lei Qiao & Yeneng Sun

Monte Carlo simulation is used in Hammond and Sun (2008) to characterize a standard stochastic framework involving a continuum of random variables that are conditionally independent given macro shocks. This paper presents some general properties of such Monte Carlo sampling processes, including their one-way Fubini extension and regular conditional independence. In addition to the almost sure convergence of Monte Carlo simulation considered in Hammond and Sun (2008), here we also consider norm convergence when the random variables are square integrable. This leads to a necessary and sufficient condition for the classical law of large numbers to hold in a general Hilbert space. Applying this analysis to large economies with asymmetric information shows that the conflict between incentive compatibility and Pareto efficiency is resolved asymptotically for almost all sampling economies, corresponding to some results in McLean and Postlewaite (2002) and Sun and Yannelis (2007).

Nattavudh Powdthavee and Andrew J. Oswald

It is known that people feel less happy in areas with higher levels of nitrogen dioxide NO2 (MacKerron and Mourato, 2009). What else might air pollution do to human wellbeing? This paper uses data on a standardized word-recall test that was done in the year 2011 by 34,000 randomly sampled English citizens across 318 geographical areas. We find that human memory is worse in areas where NO2 and PM10 levels are greater. The paper provides both (i) OLS results and (ii) instrumental-variable estimates that exploit the direction of the prevailing westerly wind and levels of population density. Although caution is always advisable on causal interpretation, these results are concerning and are consistent with laboratory studies of rats and other non-human animals. Our estimates suggest that the difference in memory quality between England’s cleanest and most-polluted areas is equivalent to the loss of memory from 10 extra years of ageing.

Thiemo Fetzer and Carlo Schwarz

We use the recent trade escalation between the US and its trade partners to study whether retaliatory tariffs are politically targeted. We find comprehensive evidence using individual- and aggregate voting data suggesting that retaliation is carefully targeted to hurt Trump. We develop a simulation approach to construct counterfactual retaliation responses allowing us to both quantify the extent of political targeting, while also studying potential tradeoffs. China, appears to put a large weight on achieving maximal political targeting. The EU seems successful in maximizing political targeting, while at the same time minimizing the potential damage to its economy.

Francis Bloch, Bhaskar Dutta & Marcin Dziubinski

We propose and study a strategic model of hiding in a network, where the network designer chooses the links and his position in the network facing the seeker who inspects and disrupts the network. We characterize optimal networks for the hider, as well as equilibrium hiding and seeking strategies on these networks. We show that optimal networks are either equivalent to cycles or variants of a core-periphery networks where every node in the periphery is connected to a single node in the core.

Danilo Cascaldi-Garcia & Marija Vukotic

In this paper we exploit firm-level data on patent grants and subsequent reactions of their stocks to identify technological news shocks. Changes in stock market valuations due to announcements of individual patent grants represent expected future increases in the technology level, which we refer to as patent-based news shocks. Our patent-based news shocks resemble diffusion news in that they do not affect total factor productivity in the short-run but account for about 20 percent of its variations after five years. These shocks induce positive co-movement between consumption, output, investment and hours. Unlike the existing empirical evidence, patent-based news shocks generate a positive response in inflation and the federal funds rate, in line with a standard New Keynesian model. Patenting activity in electronic and electrical equipment industries within the manufacturing sector and computer programming and data processing services within the services sector play a crucial role in driving our results.

Abhijit Banerjee, Esther Duflo, Clement Imbert, Santhosh Mathew & Rohini Pande

Can e-governance reforms improve government policy? By making information available on a real time basis, information technologies may reduce the theft of public funds. We analyze a large field experiment and the nationwide scale-up of a reform to India's workfare program. Advance payments were replaced by "just-in-time" payments, triggered by e-invoicing, making it easier to detect misreporting. Leakages went down: program expenditures dropped by 24%, while employment slightly increased; there were fewer fake households in the official database; program officials' personal wealth fell by 10%. However, payment delays increased. The nationwide scale-up resulted in a persistent 19% reduction in program expenditure.

Sascha O. Becker and Erik Hornung

Did the Prussian three-class franchise, which politically over-represented the economic elite, affect policy-making? Combining MP-level political orientation, derived from all roll call votes in the Prussian parliament (1867–1903), with constituency characteristics, we analyze how local vote inequality, determined by tax payments, affected policymaking during Prussia’s period of rapid industrialization. Contrary to the predominant view that the franchise system produced a conservative parliament, higher vote inequality is associated with more liberal voting, especially in regions with large-scale industry. We argue that industrialists preferred self-serving liberal policies and were able to coordinate on suitable MPs when vote inequality was high.

Mingli Chen, Kengo Kato & Chenlei Leng

Data in the form of networks are increasingly available in a variety of areas, yet statistical models allowing for parameter estimates with desirable statistical properties for sparse networks remain scarce. To address this, we propose the Sparse β-Model (SβM), a new network model that interpolates the celebrated Erdos-Renyi model and the β-model that assigns one different parameter to each node. By a novel reparameterization of the β-model to distinguish global and local parameters, our SβM can drastically reduce the dimensionality of the β-model by requiring some of the local parameters to be zero. We derive the asymptotic distribution of the maximum likelihood estimator of the SβM when the support of the parameter vector is known. When the support is unknown, we formulate a penalized likelihood approach with the `0-penalty. Remarkably, we show via a monotonicity lemma that the seemingly combinatorial computational problem due to the `0-penalty can be overcome by assigning nonzero parameters to those nodes with the largest degrees. We further show that a β-min condition guarantees our method to identify the true model and provide excess risk bounds for the estimated parameters. The estimation procedure enjoys good finite sample properties as shown by simulation studies. The usefulness of the SβM is further illustrated via the analysis of a microfinance take-up example.

Nicholas Crafts and Terence C. Mills

This paper re-examines UK productivity growth in the decades before World War I using a new dataset compiled by Thomas and Dimsdale (2017). We find that the productivity slowdown of the early 20th century was quite modest and does not deserve to be called a climacteric. A more serious slowdown in labour productivity growth occurred in the 1870s. Neither of these episodes should be regarded as a precedent for the current severe deterioration in UK productivity performance. Nor should a late-Victorian productivity slowdown be attributed to the end of the steam age despite the popularity of this belief.

Thiemo Fetzer

Can public interventions persistently reduce conflict? Adverse weather shocks, through their impact on incomes, have been identified as robust drivers of conflict in many contexts. An effective social insurance system moderates the impact of adverse shocks on house hold in comes,and hence,could attenuate the link between these shocks and conflict. This paper shows that a public employment program in India, by providing an alternative source of income through a guarantee of 100 days of employment at minimum wages, effectively provides insurance. This has an indirect pacifying effect. By weakening the link between productivity shocks and incomes, the program uncouples productivity shocks from conflict, leading persistently lower conflict levels.

Pierre André and Yannick Dupraz

We take advantage of a wave of school constructions in Cameroon after World War II and use variations in school supply at the village level to estimate labor and marriage market returns to education in the 1976 population census. Education increases the likelihood to be in a polygamous union for men and for women, as well as the overall socioeconomic status of the spouse. We argue that education increases polygamy for women because it allows them to marry more educated and richer men, who are more likely to be polygamists. To show this, we estimate a structural model of marriage with polygamy. The positive affinity between a man’s polygamy and a woman’s education is mostly explained by the affinity of education.

Mirko Draca and Carlo Schwarz

Strong evidence has been emerging that major democracies have become more politically polarized, at least according to measures based on the ideological positions of political elites. We ask: have the general public (‘citizens’) followed the same pattern? Our approach is based on unsupervised machine learning models as applied to issue position survey data. This approach firstly indicates that coherent, latent ideologies are strongly apparent in the data, with a number of major, stable types that we label as: Liberal Centrist, Conservative Centrist, Left Anarchist and Right Anarchist. Using this framework, and a resulting measure of ‘citizen slant’, we are then able to decompose the shift in ideological positions across the population over time. Specifically, we find evidence of a ‘disappearing center’ in a range of countries with citizens shifting away from centrist ideologies into anti-establishment ‘anarchist’ ideologies over time. This trend is especially pronounced for the US.

Mirko Draca, Jason Garred, Leanne Stickland and Nele Warrinnier

How successful are sanctions at targeting the economic interests of political elites in affected countries? We study the efficacy of targeting in the case of Iran, using information on the stock exchange-listed assets of two specific political entities with substantial influence over the direction of Iran’s nuclear program. Our identification strategy focuses on the process of negotiations for sanctions removal, examining which interests benefit most from news about diplomatic progress. We find that the stock returns of firms owned by targeted political elites respond especially sharply to such news, though other listed firms unconnected to these elites also benefit from progress towards sanctions relief. These results indicate the ‘bluntness’ of sanctions on Iran, but also provide evidence of their effectiveness in generating economic incentives for elite policymakers to negotiate a deal for sanctions relief.

Nicholas Crafts

This paper updates the classic growth accounting research of the early 1980s taking account of improved data that has subsequently become available. The picture of long-run growth which results from incorporating many revisions is considerably different. The long-run path of productivity growth is now that of a roller-coaster with twin peaks in the third quarters of the 19th and 20th centuries rather than a U-shape. Productivity growth appears to have been very slow to accelerate in the Industrial Revolution, the notion of an Edwardian climacteric is not persuasive and the current productivity slowdown stands out as unprecedented.

Nicholas Crafts and Terence C. Mills

We estimate trend UK labour productivity growth using a Hodrick-Prescott filter method. We use the results to compare downturns where the economy fell below its pre-existing trend. We find that the current productivity slow down has resulted in productivity being 19.7% below the pre-2008 trend path in 2018. This is nearly double the previous worst productivity short fall ten years after the start of a downturn. On this criterion the slow down is unprecedented in the last 250 years. We conjecture that this reflects a combination of adverse circumstances, namely, a financial crisis, a weakening impact of ICT and impending Brexit

Anastasios Dosis & Abhinay Muthoo

We study a two-stage, winner-takes-all, R&D race, in which, at the outset, firms are uncertain regarding the viability of the project. Learning through experimentation introduces a bilateral (dynamic) feedback mechanism. For relatively low-value products,the equilibrium stopping time coincides with the socially efficient stopping time although firms might experiment excessively in equilibrium; for relatively high-value products, firms might reduce experimentation and stop rather prematurely due to the fundamental free-riding effect. Perhaps surprisingly, a decrease in the value of the product can spur experimentation.

Silvia Miranda-Agrippino & Giovanni Ricco

This paper discusses the conditions for identification in SVAR-IVs when only the shock of interest or a subset of the structural shocks can be recovered as a linear combination of the VAR residuals. This condition of partial invertibility is very general, often of empirical relevance, and less stringent than the standard full invertibility that is routinely assumed in the SVAR literature. We show that, under partial invertibility, the dynamic responses can be correctly recovered using an external instrument even when this correlates with leads and lags of other invertible shocks. We call this a limited lead-lag exogeneity condition. We evaluate our results in a simulated environment, and provide an empirical application to the case of monetary policy shocks.

Tingjun Liu & Dan Bernhardt

Auctions employing steeper securities generate greater revenues when bidders have equal opportunity costs. However, when opportunity costs rise sufficiently quickly with valuations, security bids decrease in NPV and steeper securities reduce seller revenues. We show that when such adverse selection obtains, using combinations of securities with differing steepness can generate higher revenues than using securities of the same steepness. We determine the optimal combination of cash plus equity; identify a novel way of implementing the optimal mechanism via decreasing royalty rates; establish the robustness of the mechanism; and identify when auction designs combining cash with steeper-than-equity securities increase seller revenues.

Yashar H. Barardehi, Dan Bernhardt, Thomas G. Ruchti & Marc Weidenmier

Amihud’s (2002) stock (il)liquidity measure averages the daily ratio of absolute closeto-close return to dollar volume, including overnight returns, while trading volumes come from regular trading hours. Our modified measure addresses this mis-match by using open-to-close returns. It better explains cross-sections of returns, doubling estimated liquidity premia over 1964–2017. Using non-synchronous trading near close as an instrument reveals that overnight returns are primarily information-driven and orthogonal to price impacts of trading. Thus, including them in liquidity proxies magnifies measurement error, understating liquidity premia. Our modification especially matters when applications in finance and accounting render use of intraday data infeasible/undesirable.

Christian Merkl & Thijs van Rens

Firms select not only how many, but also which workers to hire. Yet, in most labor market models all workers have the same probability of being hired. We argue that selective hiring crucially affects welfare analysis. We set up a model that is isomorphic to a search model under random hiring but allows for selective hiring. With selective hiring, the positive predictions of the model change very little, but implications for welfare are different for two reasons. First, a hiring externality occurs with random but not with selective hiring. Second, the welfare costs of unemployment are much larger with selective hiring, because unemployment risk is distributed unequally across workers.

Dan Bernhardt & Meenakshi Ghosh

We analyze primary and general election campaigning. Positive campaigning builds a candidate’s reputation; negative campaigning damages a rival’s. Each primary candidate hopes to win the general election; but failing that, he wants his primary rival to win. We establish that general elections always feature more negative campaigning than positive, as long as reputations are easier to tear down than build up. In contrast, if the effects of primary campaigns strongly persist, primary elections always feature more positive campaigning than negative. This reflects that a primary winner benefits only from his positive primary campaigning in general elections, and negative campaigning by a rival hurts.

Lucie Gadenne, Tushar K. Nandi and Roland Rathelot

Do tax systems distort firm-to-firm trade? This paper considers the effect of tax policy on supplier networks in a large developing economy, the state of West Bengal in India. Using administrative panel data on firms, including transaction data for 4.8 million supplier-client pairs, we first document substantial segmentation of supply chains between firms paying Value-Added Taxes (VAT) and non-VAT-paying firms. We then develop a model of firms’ sourcing and tax decisions within supply chains to understand the mechanisms through which tax policy interacts with supply networks. The model predicts partial segmentation in equilibrium because of both supply-chain distortions (taxes affect how much firms trade with each other) and strategic complementarities in firms’ tax choices. Finally, we test the model’s predictions using variations over time within-firm and within supplier-client pairs. We find that the tax system distorts firms’ sourcing decisions, and suggestive evidence of strategic complementarities in firms’ tax choices within supplier networks.

Marcus Miller and Lei Zhang

After the boom in US subprime lending came the bust - with a run on US shadow banks. The magnitude of boom and bust were, it seems, amplified by two significant externalities triggered by aggregate shocks: the endogeneity of bank equity due to mark-to-market accounting and of bank liquidity due to ‘fire-sales’ of securitised assets. We show how adding a systemic ‘bank run’ to the canonical model of Adrian and Shin allows for a tractable analytical treatment - including the counterfactual of complete collapse that forces the Treasury and the Fed to intervene.

Ben Lockwood

This paper shows that the sufficient statistic approach to the welfare properties of income (and other) taxes does not easily extend to tax systems with notches, because with notches, changes in bunching induced by changes in tax rates have a first-order effect on tax revenues. In an income tax setting, we show that the marginal excess burden (MEB) of a change in the top rate of tax is given by the Feldstein (1999) formula for the MEB of a proportional tax, plus a correction term. These correction terms cannot be calculated just from knowledge of the elasticity of taxable income and quantitatively, they can be large. An application to VAT is discussed; with a calibration to UK data, the MEB of the VAT is roughly three times what is would be if VAT was simply a proportional tax.

Thijs van Rens and Benedikt Herz

We investigate unemployment due to mismatch in the United States over the past three and a half decades. We propose an accounting framework that allows us to estimate the contribution of each of the frictions that generated labor market mismatch. Barriers to job mobility account for the largest part of mismatch unemployment, with a smaller role for barriers to worker mobility. We find little contribution of wage-setting frictions to mismatch.

Yashar H. Barardehi, Dan Bernhardt & Thomas G. Ruchti

We derive testable implications of Kyle and Obizhaeva’s (2016) notion of “bet invariance” for the cross-section of trade-time volatilities. We jointly develop theoretical foundations of “no speculative arbitrage” whose implications incorporate those of bet invariance. Our proposed test circumvents the unobservable nature of “bets.” Utilizing a large sample of U.S. stocks post decimilization, we show that using realized volatilities rather than expected volatilities introduces noise that substantially biases the tests. This leads us to use estimates of normalized volatilities based on running 24 month windows. We find strong support for no speculative arbitrage at a moment in time, but not across time.

Guillem Ordonez-Calafi & Dan Bernhardt

Blockholder disclosure thresholds are under scrutiny due to their impact on the incentives for hedge fund activism, which in equilibrium are jointly determined with real investment and managerial behavior. We set up and study a comprehensive framework of the key mechanisms at play: initial investors in a firm—who value the disciplining effects of activism on management, but incur costs trading with activists who know their own value-enhancing potential; activists—who value higher thresholds when establishing equity stakes, but incur costs if high thresholds reduce real investment or discourage managerial misbehavior; and firm managers—who weigh private benefits of value-reducing actions against potential punishment if activists intervene. We characterize the optimal thresholds for initial investors, activist funds and society. When managers are unresponsive to threat of activism, initial investors and society value tighter disclosure thresholds than activists. In contrast, activists value tighter thresholds when managerial behavior is responsive to the threat of activism.

Dan Bernhardt, Evangelos Constantinou & Mehdi Shadmehr

When consumers only see prices once they visit stores, and some consumers have time to comparison shop, co-location commits stores to compete and lower prices, which draws consumers away from isolated stores. Profits of co-located firms are a single-peaked function of the number of shoppers—co-located firms thrive when there are some shoppers, but not too many. When consumers know in advance whether they have time to shop, effects are enhanced: co-located stores may draw enough shoppers to drive the expected price paid by a non-shopper below that paid when consumers do not know if they will have time to shop

Tristan Potter & Dan Bernhardt

We study the wage-setting problem of an employer with private information about demand for its product when workers can engage in costly on-the-job search. Employers understand that low wage offers may convey bad news that induces workers to search. The unique perfect sequential equilibrium wage strategy is characterized by: (i) pooling by intermediate-revenue employers on a common wage that just deters search; (ii) discontinuously lower revealing offers by low-revenue employers for whom the benefit of deterring search fails to warrant the required high pooling wage; and (iii) high revealing offers by high-revenue employers seeking to deter aggressive raiders.

Dan Bernhardt, Tingjun Liu, and Takeharu Sogo

We analyze optimal auction mechanisms when bidders base costly entry decisions on their valuations, and bidders pay with a fixed royalty rate plus cash. With sufficient valuation uncertainty relative to entry costs, the optimal mechanism features asymmetry so that bidders enter with strictly positive but different (ex-ante) probabilities. When bidders are ex-ante identical, higher royalty rates—which tie payments more closely to bidder valuations—increase the optimal degree of asymmetry in auction design, further raising revenues. When bidders differ ex-ante in entry costs, the seller favors the low cost entrant; whereas when bidders have different valuation distributions, the seller favors the weaker bidder if entry costs are low, but not if they are high. Higher royalty rates cause the seller to favor the weaker bidder by less, and the strong bidder by more.

Kirill Pogorelskiy & Matthew Shum

More voters than ever get political news from their friends on social media platforms. Is this bad for democracy? Using context-neutral laboratory experiments, we find that biased (mis)information shared on social networks affects the quality of collective decisions relatively more than does segregation by political preferences on social media. Two features of subject behavior underlie this finding: 1) they share news signals selectively, revealing signals favorable to their candidates more often than unfavorable signals; 2) they naıvely take signals at face value and account for neither the selection in the shared signals nor the differential informativeness of news signals across different sources.

Arun Advani, William Elming and Jonathan Shaw

Understanding causes of and solutions to non-compliance is important for a tax authority. In this paper we study how and why audits affect reported tax in the years after audit – the dynamic effect – for individual income taxpayers. We exploit data from a random audit program covering more than 53,000 income tax self assessment returns in the UK, combined with data on the population of tax filers between 1999 and 2012. We first document that there is substantial non-compliance in this population. One in three filers underreports the tax owed. Third party information on an income source does not predict whether a taxpayer is non-compliant on that income source, though it does predict the extent of underreporting. Using the random nature of the audits, we provide evidence of dynamic effects. Audits raise reported tax liabilities for at least five years after audit, implying an additional yield 1.5 times the direct revenue raised from the audit. The magnitude of the impact falls over time, and this decline is faster for less autocorrelated income sources. Taking an event study approach, we further show that the change in reporting behaviour comes only from those found to have made errors in their tax report. Finally, using an extension of the Allingham-Sandmo (1972) model, we show that these results are best explained by audits providing the tax authority with information, which then constrains taxpayers’ ability to misreport.

David S. Jacks and Dennis Novy

What precisely were the causes and consequences of the trade wars in the 1930s? Were there perhaps deeper forces at work in reorienting global trade prior to the outbreak of World War II? And what lessons may this particular historical episode provide for the present day? To answer these questions, we distinguish between long-run secular trends in the period from 1920 to 1939 related to the formation of trade blocs (in particular, the British Commonwealth) and short-run disruptions associated with the trade wars of the 1930s (in particular, large and widespread declines in bilateral trade, the narrowing of trade imbalances, and sharp drops in average traded distances). We argue that the trade wars mainly served to intensify pre-existing efforts towards the formation of trade blocs which dated from at least 1920. More speculatively, we argue that the trade wars of the present day may serve a similar purpose as those in the 1930s, that is, the intensification of China- and US-centric trade blocs.

Michael Waterson and Jian Xie

We investigate the London bus market, a large market with regular procurement of bus services, for possible collusion using a wide variety of techniques, making use of the data at our disposal. There is little evidence of collusion in bidding for contracts apparent from our data, despite some features of the market that might lead to collusive behaviour.

Michael Ellington, Chris Martin & Bingsong Wang

This paper puts search frictions models under novel empirical scrutiny and tests their ability to match empirical observations. To capture changing dynamics we fit an extended Bayesian time-varying parameter VAR to US labour market data from 1962–2016. We find strong evidence against key predictions of the search frictions model, namely a large surge in vacancy creation in response to productivity shocks and a negative relationship between the volatilities of unemployment and wages. Our results question the amplification mechanism embedded in search frictions models and cast doubt on wage rigidity as a source of unemployment volatility.

Jan-Emmanuel De Neve, Clement Imbert, Johannes Spinnewijn, Teodora Tsankova & Maarten Luts

We study the impact of deterrence, tax morale, and simplifying information on tax compliance. We ran five experiments spanning the tax process which varied the communication of the tax administration with all income taxpayers in Belgium. A consistent picture emerges across experiments: (i) simplifying communication increases compliance, (ii) deterrence messages have an additional positive effect, (iii) invoking tax morale is not effective. Even tax morale messages that improve knowledge and appreciation of public services do not raise compliance. In fact, heterogeneity analysis with causal forests shows that tax morale treatments backfire for most taxpayers. In contrast, simplification has large positive effects on compliance, which diminish over time due to follow-up enforcement. A discontinuity in enforcement intensity, combined with the experimental variation, allows us to compare simplification with standard enforcement measures. Simplification is far more cost-effective, allowing for substantial savings on enforcement costs, and also improves compliance in the next tax cycle.

Sascha O. Becker, Ana Fernandes and Doris Weichselbaumer

Due to conventional gender norms, women are more likely to be in charge of childcare than men. From an employer’s perspective, in their fertile age they are also at “risk” of pregnancy. Both factors potentially affect hiring practices of firms. We conduct a largescale correspondence test in Germany, Switzerland, and Austria, sending out approx. 9,000 job applications, varying job candidate’s personal characteristics such as marital status and age of children. We find evidence that, for part-time jobs, married women with older kids, who likely finished their childbearing cycle and have more projectable childcare chores than women with very young kids, are at a significant advantage vis-àvis other groups of women. At the same time, married, but childless applicants, who have a higher likelihood to become pregnant, are at a disadvantage compared to single, but childless applicants to part-time jobs. Such effects are not present for full-time jobs, presumably, because by applying to these in contrast to part-time jobs, women signal that they have arranged for external childcare.

Arun Advani, Toru Kitagawa and Tymon Słoczyński

We consider two recent suggestions for how to perform an empirically motivated Monte Carlo study to help select a treatment effect estimator under unconfoundedness. We show theoretically that neither is likely to be informative except under restrictive conditions that are unlikely to be satisfied in many contexts. To test empirical relevance, we also apply the approaches to a real-world setting where estimator performance is known. Both approaches are worse than random at selecting estimators which minimise absolute bias. They are better when selecting estimators that minimise mean squared error. However, using a simple bootstrap is at least as good and often better. For now researchers would be best advised to use a range of estimators and compare estimates for robustness.

Neha Bose and Daniel Sgroi

Small talk is a ubiquitous feature of social interaction but almost by definition seems to have little strategic importance and has hardly been studied within the social sciences. In a laboratory setting with 338 subjects, we show that short seemingly unimportant communication between players who know nothing about the games that are to follow (and so cannot engage in cheap talk) nevertheless has a dramatic and important effect. Through small talk players were able to better predict the personalities of their partners (especially their level of extraverion) building a sensible “theory of mind” which in turn boosted their payoffs in subsequent public goods and level-k reasoning games. Important psychological factors such as perceived similarity and self-projection also proved important. Additional insight is provided by text analysis on the language used during communication which indicates how theory of mind can be developed through trivial and seemingly irrelevant small talk.