We use the elements of a macroeconomic production function—physical capital, human capital, labor, and technology—together with standard growth models to frame the role of religion in economic growth. Unifying a growing literature, we argue that religion can enhance or impinge upon economic growth through all four elements because it shapes individual preferences, societal norms, and institutions. Religion affects physical capital accumulation by influencing thrift and financial development. It affects human capital through both religious and secular education. It affects population and labor by influencing work effort, fertility, and the demographic transition. And it affects total factor productivity by constraining or unleashing technological change and through rituals, legal institutions, political economy, and conflict. Synthesizing a disjoint literature in this way opens many interesting directions for future research.

We study the role of professional networks in facilitating emigration of Jewish academics dismissed from their positions by the Nazi government. We use individual-level exogenous variation in the timing of dismissals to estimate causal effects. Academics with more ties to early emigres (emigrated 1933–1934) were more likely to emigrate. Early emigres functioned as "bridging nodes" that facilitated emigration to their own destination. We also provide evidence of decay in social ties over time and show that professional networks transmit information that is not publicly observable. Finally, we study the relative importance of three types (family, community, professional) of social networks.

This paper evaluates a large urban public works program randomly rolled out across neighborhoods of Addis Ababa, Ethiopia. We find the program increased public employment and reduced private labor supply among beneficiaries and improved local amenities in treated locations. We then combine a spatial equilibrium model and unique commuting data to estimate the spillover effects of the program on private sector wages across neighborhoods: under full program rollout, wages increased by 18.6 percent. Using our model, we show that welfare gains to the poor are six times larger when we include the indirect effects on private wages and local amenities.

We introduce an adaptive targeted treatment assignment methodology for field experiments. Our Tempered Thompson Algorithm balances the goals of maximizing the precision of treatment effect estimates and maximizing the welfare of experimental participants. A hierarchical Bayesian model allows us to adaptively target treatments. We implement our methodology in Jordan, testing policies to help Syrian refugees and local jobseekers to find work. The immediate employment impacts of a small cash grant, information and psychological support are small, but targeting raises employment by 1 percentage-point (20%). After 4 months, cash has a sizable effect on employment and earnings of Syrians.

Can revenue sharing of resource rents be a source of distributive conflict? Can cohesive institutions avoid such conflicts? We exploit exogenous variation in local government revenues and new data on local democratic institutions in Nigeria to study these questions. We find a strong link between rents and conflict. Conflicts are highly organized and concentrated in districts and time periods with unelected local governments. Once local governments are elected these relationships are much weaker. We argue that elections produce more cohesive institutions that help limit distributional conflict between groups. Throughout, we confirm these findings using individual level survey data.

We study a model of time preference in which both current consumption and the memory of past consumption enter “experienced utility”—or the felicity—of an individual. An individual derives overall utility from her own felicity and the anticipated felicities of future selves. These postulates permit an agent to anticipate future regret in current decisions, and generate a set of novel testable implications in line with empirical evidence. The model can be applied to disparate phenomena, including present bias, equilibrium savings behavior, anticipation of regret, and career concerns.

We propose a method to allow usual business cycle models to account for the unusual COVID episode. The pandemic and the public and private responses to it are represented by a new shock called the Covid shock, which loads onto wedges that underlie the usual shocks and comes with news about its evolution. We apply our method to a standard medium-scale model, estimating the loadings with 2020q2 data and the evolving news using professional forecasts. The Covid shock accounts for most of the early macroeconomic dynamics, was inflationary and a persistent drag on activity, and the majority of its effects were unanticipated. We also show how the Covid shock can be used to estimate DSGE models with data before, during, and after the pandemic.

We use a randomized experiment to evaluate the impact of providing richer information about prospective jobs to vocational trainees on their employment outcomes. The setting of the study is the vocational training program DDU-GKY in India. We find that including in the training two information sessions about placement opportunities make trainees 18% more likely to stay in the jobs in which they are placed. We provide suggestive evidence that the effect is driven by improved selection into training: as a result of the intervention, trainees that are over-optimistic about placement jobs are more likely to drop out before placement.

This paper estimates the size of the media multiplier, an easily generalizable model-based measure of how far media coverage magnifies the economic response to shocks. We combine monthly aggregated and anonymized credit card activity data from 114 card issuing countries in 5 destination countries with a large corpus of news coverage in issuing countries reporting on violent events in the destinations. To define and quantify the media multiplier we estimate a model in which latent beliefs, shaped by either events or news coverage, drive card activity. According to the model, media coverage can more than triple the economic impact of an event. We document, through our model, that this effect is highly heterogenous and depends on the broader media representation of countries in each others news. We speculate about the role of the media in driving international travel patterns an.

Children exposed to pollutants like lead have lower academic achievement and are more likely to engage in risky behavior. However, little is known about whether lead-exposed children affect the long-run outcomes of their peers. We estimate these spillover effects using unique data on preschool blood lead levels (BLLs) matched to education data for all students in North Carolina public schools. We compare siblings whose school-grade cohorts differ in the proportion of children with elevated BLLs, holding constant school and peers’ demographics. Having more lead-exposed peers is associated with lower high school graduation and SAT-taking rates and increased suspensions and absences.

"Any finite conversation, no matter how crazy it sounds, can be given context in which it is a rational dialogue."

We present a theory of monopoly protection by means of entry in adjacent markets that have a common customer base (i.e., envelopment). A firm dominant in its market enters a data-rich secondary market and engages in predatory pricing and privacy-policy tying. We define the latter as conditioning service provision to the subscription of a privacy policy that allows bundling of user data across all sources. Acquiring data from the secondary market confers an advantage in the data-intensive primary market that shields the dominant firm from entry, thus harming consumers. We discuss potential remedies, including data unbundling and portability.

Can revenue sharing of resource rents be a source of distributive conflict? Can cohesive institutions avoid such conflicts? We exploit exogenous variation in local government revenues and new data on local democratic institutions in Nigeria to study these questions. We find a strong link between rents and conflict. Conflicts are highly organized and concentrated in districts and time periods with unelected local governments. Once local governments are elected these relationships are much weaker. We argue that elections produce more cohesive institutions that help limit distributional conflict between groups. Throughout, we confirm these findings using individual level survey data.

We develop a new class of general-equilibrium models with partially unfunded debt to propose a fiscal theory of persistent inflation. In response to business cycle shocks, the monetary authority controls inflation and the fiscal authority stabilizes debt. However, the central bank accommodates unfunded fiscal shocks, causing persistent movements in inflation, output, and real interest rates. In an estimated quantitative model, fiscal inflation accounts for the bulk of inflation dynamics. In the aftermath of the pandemic, unfunded fiscal shocks sustain the recovery but also cause a persistent increase in inflation. The model is able to predict the inflationary effects of the American Rescue Plan Act fiscal stimulus out of sample and with real-time data.

We propose a Bayesian approach to Local Projections that optimally addresses the empirical bias-variance trade-off intrinsic in the choice between direct and iterative methods. Bayesian Local Projections (BLP) regularise LP regressions via informative priors, and estimate impulse response functions that capture the properties of the data more accurately than iterative VARs. BLPs preserve the flexibility of LPs while retaining a degree of estimation uncertainty comparable to Bayesian VARs with standard macroeconomic priors. As regularised direct forecasts, BLPs are also a valuable alternative to BVARs for multivariate out-of-sample projections.

We conduct a natural field experiment with a major European party to test whether giving party supporters more voice increases their engagement in the party's electoral campaign. In the experiment, the party asked a random subset of supporters for their opinions on the importance of different policy areas. Giving supporters opportunities to voice their opinions increases their engagement in the campaign as measured using behavioral data from the party's smartphone application. Survey data reveals that giving voice also increases other margins of campaign effort as well as perceived voice. Our evidence highlights the importance of voice for increasing political engagement.

We introduce an adaptive targeted treatment assignment methodology for field experiments. Our Tempered Thompson Algorithm balances the goals of maximizing the precision of treatment effect estimates and maximizing the welfare of experimental participants. A hierarchical Bayesian model allows us to adaptively target treatments. We implement our methodology in Jordan, testing policies to help Syrian refugees and local jobseekers to find work. The immediate employment impacts of a small cash grant, information and psychological support are small, but targeting raises employment by 1 percentage-point (20%). After 4 months, cash has a sizable effect on employment and earnings of Syrians.

We examine how the evaluation of research studies in economics depends on whether a study yielded a null result. Studies with null results are perceived to be less publishable, of lower quality, less important, and less precisely estimated than studies with large and statistically significant results, even when holding constant all other study features, including the sample size and the precision of the estimates. The null result penalty is of similar magnitude among PhD students and journal editors. The penalty is larger when experts predict a large effect and when statistical uncertainty is communicated with p-values rather than standard errors. Our findings highlight the value of pre-results review.

IV methods have become the leading approach to identify the effects of macroeconomic shocks. Conditions for identification generally involve all the shocks in the VAR even when only a subset of them is of interest. This paper provides more general conditions that only involve the shocks of interest and the properties of the instrument of choice. We introduce a heuristic and a formal test to guide the specification of the empirical models, and provide formulas for the bias when the conditions are violated. We apply our results to the study of the transmission of conventional and unconventional monetary policy shocks.

We study the long-run effects of contact with individuals from other regions in early adulthood on preferences, beliefs, and national identity. We combine a natural experiment, the random assignment of male conscripts to different locations throughout Spain, with tailored survey data. Being randomly assigned to complete military service outside of one's region of residence fosters contact with conscripts from other regions and increases sympathy and trust toward people from the region of service, as measured decades later. We also observe a long-lasting increase in identification with Spain for individuals originating from regions with strong peripheral nationalism.

This paper examines policy effectiveness as a function of leader identity. We experimentally vary leader religious identity in a coordination game implemented in India and focus on citizen reactions to leader identity, controlling for leader actions. We find that minority leaders improve coordination, and majority leaders do not. Alternative treatment arms reveal that affirmative action for minorities reverses this result, while intergroup contact improves the effectiveness of leaders of both identities. We also find that minority leaders are less effective in towns with a history of intergroup conflict. Our results demonstrate that leader and policy effectiveness depend on citizen reactions, conditioned by social identity and past conflict.

We analyze long-term impacts of the 1967–1970 Nigerian Civil War, providing the first evidence of intergenerational impacts. War exposure among women results in reduced adult stature, an increased likelihood of being overweight, earlier age at first birth, and lower educational attainment. War exposure of mothers has adverse impacts on next-generation child survival, growth, and education. Impacts vary with age of exposure. For the mother and child health outcomes, the largest impacts stem from adolescent exposure. Exposure to a primary education program mitigates impacts of war exposure. War exposure leads to men marrying later and having fewer children.

Traditions can limit investment in early life health, even if they have been abandoned. We introduce data on historic twin infanticide and merge it with recent birth records from 23 African countries. We use the full sample and a border sample of adjacent societies with and without past twin infanticide. Both samples provide no evidence that past twin infanticide predicts greater differential twin mortality today. This null result is likely a consequence of suppression efforts by Africans, missionaries, and colonial governments. Where these channels were weak, we find evidence of greater twin mortality today.

Renewable generation of electricity is a vital step in reducing dependence on fossil fuels, and wind generation is particularly important in countries such as Britain. A large part of the windfarms are in Scotland but links with England are relatively limited and subject to exogenous failure of an interconnector. As a consequence, for a significant portion of time the system operator imposes constraints on wind generation in Scotland. We investigate the resulting effects on a majority subset of these windfarms operating under a scheme called Renewables Obligation, which involves a subsidy on top of market price. One feature of this scheme is that windfarms each declare a price at which they are willing to be constrained; these prices are used in the selection of windfarms to constrain when necessary. Thus, windfarms are sometimes paid not to produce. We investigate the strategic consequences of this, given that the prices set by windfarms to turn off in practice exceed the opportunity cost, finding significant evidence consistent with windfarm strategic behaviour. Specifically, we observe that in making their final physical declarations of output, the sample windfarms overestimate their final physical notifications of generation, the more so when other circumstances suggest constraints will be required. Following our findings we propose two potential policies to reduce both the extent of over-prediction and the payments made to windfarms to curtail output.

How successful are sanctions at targeting the economic interests of political elites in affected countries? We study the case of Iran, using information on the stock exchange-listed assets of two specific political entities with significant influence over the direction of Iran’s nuclear programme. Our identification strategy focuses on the process of negotiations for sanctions removal, examining which interests benefit most from news about diplomatic progress. The results indicate the ‘bluntness’ of sanctions on Iran, but also provide evidence of their effectiveness in generating substantial economic incentives for elite policymakers to negotiate a deal for sanctions relief.

Using administrative data on the universe of UK taxpayers, we study the contribution of migrants to the rise in UK top incomes. We show migrants are over-represented at the top of the income distribution, with migrants twice as prevalent in the top 0.01% as anywhere in the bottom 97%. These high incomes are predominantly from labour, rather than capital, and migrants are concentrated in only a handful of industries, predominantly finance. Almost all (90%) of the observed growth in the UK top 1% income share over the past 20 years has accrued to migrants.

Homelessness and precarious living conditions are on the rise across much of the Western world. This paper exploits quasi-exogenous variation in the affordability of rents due to a cut in rent subsidies for low-income households in the United Kingdom in April 2011. Using comprehensive district-level administrative data, we show that the affordability shock caused a significant increase in financial distress, evictions, property crimes, insecure temporary housing arrangements, statutory homelessness, and actual rough sleeping. The most notable rise in statutory homelessness is driven by families with children, lone parents, individuals with existing health conditions, and as a result of having been evicted. We estimate that the fiscal savings were low and shifted toward the local administration: Savings by the central government were partially offset by an increase in council spending to meet statutory obligations for homelessness.

(In Press)

Analysis of the relationship between taxes and self-employment should account for the interplay between responses in self-employment and wage employment. To this end, we estimate a two-state multispell duration model which accounts for both observed and unobserved heterogeneity using a large longitudinal administrative data set for Norway for 1993 to 2011. Our findings confirm theoretical predictions and are robust to various changes to definitions and sample selections. A policy experiment simulating a flatter tax schedule in the year 2000 is found to encourage self-employment, delivering a net increase of predicted inflow into self-employment from 2.8%% to 5.3%%⁠.

Classical security design papers equate competitive capital markets to securities being fairly priced in expectation. We revisit Nachman and Noe’s (1994) adverse selection setting, modeling capital market competition as free entry of investors and allowing firms to propose prices for their securities, as happens in private securities placements and bank lending. We identify equilibria in which high types issue underpriced debt, which yields positive expected profits to uninformed lenders, while low types issue steeper securities, such as equity. In addition, pooling equilibria exist in which all firms issue underpriced debt. Introducing pre-existing capital structures provides further foundations for pecking-order theories of external finance.

We investigate women’s fertility, labor, and marriage market responses to a health innovation that led to reductions in mortality from treatable causes, and especially large declines in child mortality. We find delayed childbearing, with lower intensive and extensive margin fertility, a decline in the chances of ever having married, increased labor force participation, and an improvement in occupational status. Our results provide the first evidence that improvements in child survival allow women to start fertility later and invest more in the labor market. We present a new theory of fertility that incorporates dynamic choices and reconciles our findings with existing models of behavior.

We construct a model of an exchange economy in which agents trade assets contingent on an observable signal, the probability of which depends on public opinion. The agents in our model are replaced occasionally and each person updates beliefs in response to observed outcomes. We show that the distribution of the observed signal is described by a quasi-non-ergodic process and that people continue to disagree with each other forever. These disagreements generate large wealth inequalities that arise from the multiplicative nature of wealth dynamics which make successful bold bets highly profitable

We develop a medium-size semistructural time series model of inflation dynamics that is consistent with the view, often expressed by central banks, that three components are important: a trend anchored by long-run expectations, a Phillips curve, and temporary fluctuations in energy prices. We find that a stable long-term inflation trend and a well-identified steep Phillips curve are consistent with the data, but they imply potential output declining since the new millennium and energy prices affecting headline inflation not only via the Phillips curve but also via an independent expectational channel.

We study how active labor market policies affect the exchange of information and support among jobseekers. Leveraging a unique social network survey in Ethiopia, we find that a randomized job-search assistance intervention reduces information sharing and support between treated jobseekers and their active job-search partners. Due to lower job-search support, untreated individuals search less and, suggestively, have worse employment outcomes. These results are consistent with a model of networks where unemployed individuals form job-search partnerships to exploit the complementarities of job search.

This paper considers a network formation model when links are potentially misclassified. 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 misclassification-robust method to study the preference parameters of a lending network in rural villages in southern India.

Human feelings cannot be expressed on a numerical scale. There are no units of measurement for feelings. However, such data are extensively collected in the modern world—by governments, corporations, and international organizations. Why? Our study finds that a feelings integer (like my happiness is X out of 10) has more predictive power than a collection of socioeconomic influences. Moreover, there is a clear link between those feelings numbers and later get-me-out-of-here actions. Finally, the feelings-to-actions relationship appears replicable and not too far from linear. Remarkably, therefore, humans somehow manage to choose their numerical answers in a systematic way as though they sense within themselves—and can communicate—a reliable numerical scale for their feelings. How remains an unsolved puzzle.

Humans are predisposed to forming “first impressions” about the people we encounter including impressions about their personality traits. While the relationship between personality and strategic decision-making has been widely explored, we examine the role of personality impressions in predicting strategic behaviour and devising behavioural responses. In a laboratory setting, after only 4-minutes of “small talk”, subjects developed a sense of the personality of their partners, particularly extraversion, which consequently changed their behaviour in future interactions. Subjects cooperated more in public goods games when they believed their partner to be extraverted and found it more difficult to out-guess opponents they perceived as similar to themselves in a level-k reasoning task, having engaged in conversation with them. We trace how language can generate these effects using text analysis, showing that talking more makes individuals appear extraverted and pro-social which in turn engenders pro-social behaviour in others.

We document that nearly half of the global decline in agricultural employment was driven by new cohorts entering the labor market. A new dataset of policy reforms supports an interpretation of these cohort effects as human capital. Using a model of frictional labor reallocation, we conclude that human capital growth led to a sharp decline in the agricultural labor supply, accounting, at fixed prices, for 40 percent of the decrease in agricultural employment. This aggregate effect is halved in general equilibrium and it reflects the role of human capital as both a mediating factor and an independent driver of labor reallocation.

How does rural-urban migration shape urban production in developing countries? We use longitudinal data on Chinese manufacturing firms between 2000 and 2006, and exploit exogenous variation in rural-urban migration induced by agricultural income shocks for identification. We find that, when immigration increases, manufacturing production becomes more labor intensive and productivity declines. We investigate the reorganization of production using patent applications and product information. We show that rural-urban migration induces both labor-oriented technological change and the adoption of labor intensive product varieties.

How do trade costs affect international trade? This paper offers a new approach. We rely on a flexible gravity equation that predicts variable trade cost elasticities, both across and within country pairs. We apply this framework to popular trade cost variables such as currency unions, trade agreements and World Trade Organization membership. While we estimate that these variables are associated with increased bilateral trade on average, we find substantial heterogeneity. Consistent with the predictions of our framework, trade cost effects are strong for ‘thin’ bilateral relationships characterised by small import shares, and weak or even zero for ‘thick’ relationships.

This paper examines how trade costs induced by geographic distance or bilateral tariffs impact the markups of exports differentiated by quality. It relies on a data set that combines Argentinean firm-level wine exports with experts’ wine ratings as a measure of quality. Exporters price discriminate across destinations by raising markups in more distant markets, and by lowering them in high-tariff countries. However, the response of markups to changes in trade costs is heterogeneous and weaker for higher quality exports. These empirical patterns can be predicted by trade models featuring demand functions more convex than log-concave, but less than superconvex. They demonstrate that the variation in firm-level export unit values across markets is not only driven by quality differences but also by markup variation conditional on quality.

Codified at the 2005 United Nations World Summit, the doctrine of Responsibility to Protect articulates an ideal of international interventions motivated by compassion for victims and a desire to bring stability to hot-spots around the world. Despite this consensus, practitioners and scholars have debated the importance of unintended consequences stemming from the expectation of third-party intervention. We analyze how third-party intervention shapes the incentives to arm, negotiate settlements, and fight wars in a parsimonious game theoretic model. Among the unintended consequences we find: interventions that indiscriminately lower the destructiveness of war increase the probability of conflict and increasing the cost of arming makes destructive wars more likely. Other interventions, however, can have much more beneficial effects and our analysis highlights peace-enhancing forms of third-party intervention. From a welfare perspective, most interventions do not change the ex-ante loss from war, but do have distributional effects on the terms of peace. As a result R2P principles are hard to implement because natural forms of intervention create incentives that make them largely self-defeating.

We characterize equilibria of oligopolistic markets where identical firms with constant marginal cost compete à la Cournot. For given maximal willingness to pay and maximal total demand, we first identify all combinations of equilibrium consumer surplus and industry profit that can arise from arbitrary demand functions. Then, as a further restriction, we fix the average willingness to pay above marginal cost (i.e., first-best surplus) and identify all possible triples of consumer surplus, industry profit, and deadweight loss.

We develop a semi-nonparametric approach to identify and estimate the demand for differentiated products. The proposed method adopts a random coefficients discrete choice logit model (i.e., mixed logit model) in which the distribution of random coefficients is nonparametrically specified. Our method minimizes misspecification error in the distribution to which routinely used parametric approach is subject. In addition, it overcomes the practical challenge of dimensionality in the number of products that remains the main hurdle in the nonparametric estimation of demand functions. We propose a sieve estimation procedure (referred to as sieve BLP) that remains simple to implement. Extensive Monte Carlo simulations show its robust finite-sample performance under various data generating processes. We use the method to investigate the welfare implications of a sugar tax in the ready-to-eat cereal industry in the US. This application underscores the usefulness of sieve BLP due to its ability to allow for flexibly specified individual heterogeneity in demand, especially when the researcher aims to quantify the distributional effects of a policy change

Indirect Inference (I-I) is a popular technique for estimating complex parametric models whose likelihood function is intractable, however, the statistical efficiency of I-I estimation is questionable. While the efficient method of moments, Gallant and Tauchen (1996), promises efficiency, the price to pay for this efficiency is a loss of parsimony and thereby a potential lack of robustness to model misspecification. This stands in contrast to simpler I-I estimation strategies, which are known to display less sensitivity to model misspecification due in large part to their focus on specific elements of the underlying structural model. In this research, we propose a new simulation-based approach that maintains the parsimony of I-I estimation, which is often critical in empirical applications, but can also deliver estimators that are nearly as efficient as maximum likelihood. This new approach is based on using a constrained approximation to the structural model, which ensures identification and can deliver estimators that are consistent and nearly efficient. We demonstrate this approach through several examples, and show that this approach can deliver estimators that are nearly as efficient as maximum likelihood, when feasible, but can be employed in many situations where maximum likelihood is infeasible.

Access to prenatal sex-detection technology in India has led to a phenomenal increase in abortion of girls. We find that it has also narrowed the gender gap in under-five mortality, consistent with surviving girls being more wanted than aborted girls. For every three aborted girls, one additional girl survived to age five. Mechanisms include moderation of son-biased fertility stopping and narrowing of gender gaps in parental investments. However, surviving girls are more likely to be born in lower-status families. Our findings have implications not only for counts of missing girls but also for the later life outcomes of girls.

Does pre-colonial history - and in particular the role of interstate warfare - help explain long-run development patterns across India? To address this question, we construct a new geocoded database of historical conflicts on the Indian subcontinent. We document a robust positive relationship between pre-colonial conflict exposure and local economic development today. Drawing on archival and secondary data, we show that districts that were more exposed to pre-colonial conflict experienced greater early state-making, followed by lower political violence and higher investments in physical and human capital in the long term.

In July 2011, the Pakistani public learnt that the Central Intelligence Agency (CIA) had used a vaccination campaign as cover to capture Osama Bin Laden. The Taliban leveraged on this information and launched an anti-vaccine propaganda campaign to discredit vaccines and vaccination workers. We evaluate the effects of these events on immunization by implementing a difference-in-differences strategy across cohorts and districts. We find that vaccination rates declined between 23% and 39% in districts in the 90th percentile of Islamist support relative to those in the 10th percentile. These results suggest that information discrediting vaccination campaigns can negatively affect trust in health services and demand for immunization.

Public policy making for the prevention of diet-related disease is impeded by a lack of evidence on whether poor diets are a matter of personal responsibility or a choice set narrowed by environmental conditions. An important element of the environment is market imperfections in food retail that distort prices. We use a rich dataset on quantities and prices of food purchases in the United States and a structural model of dietary choices to examine variation in diets across households that have different levels of income and live in different neighbourhoods. We find that price distortions account for one-third of the gap between the recommended and actual intake of fruits and vegetables. A feasible fiscal intervention that remedies these distortions makes all consumers better off.

We present a theory of war onset and war duration in which power is multidimensional and can evolve through conflict. The resources players can secure without fighting are determined by their political power, while the ability of appropriating resources with violence is due to their military power. When deciding whether to wage a war, players evaluate the consequences on the current allocation of resources as well as on the future distribution of military and political powers. We deliver three main results: a key driver of war is the mismatch between military and political power; dynamic incentives may amplify static incentives, leading forward-looking players to be more belligerent; and a war is more likely to last for longer if political power is initially more unbalanced than military power and the politically under-represented player is militarily advantaged. Our results are robust to allowing the peaceful allocation of resources to be a function of both political and military powers. Finally, we provide empirical correlations on interstate wars that are consistent with the theory.

The conventional theory about the origin of the state is that the adoption of farming increased land productivity, which led to the production of food surplus. This surplus was a prerequisite for the emergence of tax-levying elites and, eventually, states. We challenge this theory and propose that hierarchy arose as a result of the shift to dependence on appropriable cereal grains. Our empirical investigation, utilizing multiple data sets spanning several millennia, demonstrates a causal effect of the cultivation of cereals on hierarchy, without finding a similar effect for land productivity. We further support our claims with several case studies.

Does pre-colonial history - and in particular the role of interstate warfare - help explain long-run development patterns across India? To address this question, we construct a new geocoded database of historical conflicts on the Indian subcontinent. We document a robust positive relationship between pre-colonial conflict exposure and local economic development today. Drawing on archival and secondary data, we show that districts that were more exposed to pre-colonial conflict experienced greater early state-making, followed by lower political violence and higher investments in physical and human capital in the long term.

Bertrand, Kamenica, and Pan (2015) document that in the United States there is a discontinuity to the right of 0.5 in the distribution of households according to the female share of total earnings, which they attribute to the existence of a gender identity norm. We provide an alternative explanation for this discontinuity. Using linked employer-employee data from Finland, we show that the discontinuity emerges as a result of equalization and convergence of earnings in coworking couples, and it is associated with an increase in the relative earnings of women, rather than a decrease as predicted by the norm.

Historically, improvements in municipal water quality led to substantial mortality decline in today's wealthy countries. However, water disinfection has not consistently produced large benefits in lower-income countries. We study this issue by analyzing a large-scale municipal water disinfection program in Mexico that increased water chlorination coverage in urban areas from 58 percent to over 90 percent within 18 months. We estimate that the program reduced childhood diarrheal disease mortality rates by 45 to 67 percent. However, inadequate sanitation infrastructure and age (degradation) of water pipes may have attenuated these benefits substantially.

We study competition for the market in a setting where incumbents (and, to a lesser extent, neighbouring incumbents) benefit from a cost or information advantage. We first compare the outcome of staggered and synchronous tenders, before drawing the implications for market design. We find the timing of tenders interrelates with the likelihood of monopolisation. For high incumbency advantages and/or discount factors, monopolisation is expected, in which case synchronous tendering is preferable as it strengthens the pressure that entrants exercise on the monopolist. For low incumbency advantages and/or discount factors, other firms remain active, in which case staggered tendering is preferable as it maximises competitive pressure coming from the other firms. We use bus tendering in London to illustrate our insights and draw policy implications.

The existence of collective reputation implies an important externality. Among firms trading internationally, quality shocks about one firms products could affect the demand of other firms from the same origin country. We study such reputation spillover in the context of a large-scale scandal that affected the Chinese dairy industry in 2008. Leveraging detailed firm-product level administrative data and official quality inspection reports, we document sizable reputation spillovers on uncontaminated firms. We further investigate potential mechanisms that could mediate the strength of collective reputation, including information accuracy, observability of the supply chain and prior export experience.

We exploit firm-level data on patent grants and subsequent reactions of 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 induce a strong permanent effect after five years. These shocks produce positive comovement 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 crucial roles in driving our results.

We study how search frictions in the labor market affect firms' ability to recruit talented workers. In a field experiment in Ethiopia, we show that an employer can attract more talented applicants by offering a small monetary incentive for making a job application. Estimates from a structural model suggest that the intervention is effective because the cost of making a job application is large, and positively correlated with jobseeker ability. We provide evidence that this positive correlation is driven by dynamic selection. In a second experiment, we show that local recruiters underestimate the positive impacts of application incentives.

I study how the relative efficiency of high- and low-skill labor varies across countries. Using micro data for countries at different stages of development, I document that differences in relative quantities and wages are consistent with high-skill workers being relatively more productive in rich countries. I exploit variation in the skill premia of foreign-educated migrants to discriminate between two possible drivers of this pattern: cross-country differences in the skill bias of technology and in the relative human capital of skilled labor. I find that the former is quantitatively more important, and discuss the implications of this result for development accounting

How are resources allocated across different R&D areas (i.e., problems to be solved)? As a result of dynamic congestion externalities, the competitive market allocates excessive resources into those of high return, being those with higher private (and social) payoffs. Good problems are tackled too soon, and as a result the distribution of open research problems in the socially optimal solution stochastically dominates that of the competitive equilibrium. A severe form of rent dissipation occurs in the latter, where the total value of R&D activity equals the value of allocating all resources to the least valuable problem solved. Resulting losses can be substantial

We study the impact of simplification, deterrence, and tax morale on tax compliance. We ran four 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.

We relate gender differences in willingness to commute to the gender wage gap. Using French administrative data on job search criteria, we first document that unemployed women have a lower reservation wage and a shorter maximum acceptable commute than their male counterparts. We identify indifference curves between wage and commute using the joint distributions of reservation job attributes and accepted job bundles. Indifference curves are steeper for women, who value commute around 20% more than men. Controlling in particular for the previous job, newly hired women are paid after unemployment 4% less per hour and have a 12% shorter commute than men. Through the lens of a job search model where commuting matters, we estimate that gender differences in commute valuation can account for a 0.5 log point hourly wage deficit for women, that is, 14% of the residualized gender wage gap. Finally, we use job application data to test the robustness of our results and to show that female workers do not receive less demand from far-away employers, confirming that most of the gender gap in commute is supply-side driven.

We show that helping young job-seekers signal their skills to employers generates large and persistent improvements in their labour market outcomes. We do this by comparing an intervention that improves the ability to signal skills (the ‘job application workshop’) to a transport subsidy treatment designed to reduce the cost of job search. In the short-run, both interventions have large positive effects on the probability of finding a formal job. The workshop also increases the probability of having a stable job with an open-ended contract. Four years later, the workshop significantly increases earnings, job satisfaction, and employment duration, but the effects of the transport subsidy have dissipated. Gains are concentrated on individuals who generally have worse labour market outcomes. Overall, our findings highlight that young people possess valuable skills that are unobservable to employers. Making these skills observable generates earnings gains that are far greater than the cost of the intervention.

In many developing countries, households can purchase limited quantities of goods at a fixed subsidized price through ration shops. This paper asks whether the characteristics of developing countries explain why governments use such systems. I find an equity-efficiency trade-off: an efficiency-maximizing government will never use ration shops, but a welfare-maximizing one might to redistribute and provide insurance. Welfare gains of ration shops will be highest for necessity goods and goods with high price risk. I calibrate the model for India and find that ration shops are welfare improving for three of the four goods sold through the system today.

This article examines the dynamic effects of a teachers’ pay for performance experiment on long-term outcomes at adulthood. The program led to a gradual increase in university education of the treated high school students, reaching an increase of 0.25 years of schooling by age 28–30. The effects on employment and earnings were initially negative, coinciding with a higher rate of enrolment in university, but became positive and significant with time. These gains are largely mediated by the positive effect of the program on several high school outcomes, including quantitative and qualitative gains in the high-stakes matriculation exams.

We study the long-run effects of forced migration on investment in education. After World War II, millions of Poles were forcibly uprooted from the Kresy territories of eastern Poland and resettled ( primarily) in the newly acquired Western Territories, from which the Germans were expelled. We combine historical censuses with newly collected survey data to show that, while there were no pre-WWII differences in educational attainment, Poles with a family history of forced migration are significantly more educated today than other Poles. These results are driven by a shift in preferences away from material possessions toward investment in human capital.

We provide microfoundations for dynamic skill formation with a model of investment in multiple skills, when jobs place different weights on skills. We show that credit constraints may affect investment even when workers do not exhaust their credit. Firms may invest in their workers’ skills even when there are many similar competitors. Firm and worker incentives can lead to overinvestment. Optimal skill accumulation resembles—but is not—learning by doing. An example shows that shocks to skill productivity benefiting new workers but lowering one skill’s value may adversely affect even relatively young workers, and adjustment may be discontinuous in age.

We study multi-district legislative elections between two office-seeking parties when one party has an initial valence advantage that may shift and even reverse during the campaign; and, each party cares not only about winning a majority, but also about its share of seats. When the initial imbalance favoring one party is small, each party targets the median voter. For moderate imbalances, the advantaged party maintains the centre-ground, but the disadvantaged party retreats to target its core supporters; and for large imbalances, the advantaged party advances toward its opponent, raiding its moderate supporters in pursuit of an outsized majority

We analyze a bilateral trade model where the buyer chooses the distribution of her valuation for the good. The seller, after observing the buyer’s distribution but not the realized valuation, makes a take-it-or-leave-it offer. If distributions are costless, the price and the payoffs of both the buyer and the seller are shown to be 1/e in the unique equilibrium outcome. The buyer’s equilibrium distribution generates a unit-elastic demand, and trade is ex post efficient. These properties are shown to be preserved even when different distributions are differentially costly as long as the cost is monotone in the dispersion of the distribution.

In this paper, we propose a model of endogenous partial insurance and we investigate its implications for macroeconomic outcomes, such as wealth inequality, asset accumulation, interest rate, and consumption smoothing. To this end, we include participation costs to state-contingent asset markets into an otherwise standard Aiyagari (1994) model. We highlight the resulting nonmonotonic relationship between wealth and insurance-market participation when insurance is costly. Poor households remain uninsured, middle-class households participate in the insurance market, whereas rich households decide to self-insure by only purchasing risk-free assets. After theoretically characterizing the endogenous partial insurance equilibrium, we quantify its effect, emphasizing the roles of a participation channel and an interest rate channel.

This paper documents a significant association between the exposure of an individual or area to the UK government’s austerity-induced welfare reforms begun in 2010, and the following: the subsequent rise in support for the UK Independence Party, an important correlate of Leave support in the 2016 UK referendum on European Union membership; broader individual-level measures of political dissatisfaction; and direct measures of support for Leave. Leveraging data from all UK electoral contests since 2000, along with detailed, individual-level panel data, the findings suggest that the EU referendum could have resulted in a Remain victory had it not been for austerity

We show that psychological well-being in adulthood varies with circumstance in early life. Combining a time series of real producer prices of cocoa with a nationally representative household survey in Ghana, we find that a one standard deviation rise in the cocoa price in early life decreases the likelihood of severe mental distress in adulthood by 3 percentage points (half the mean prevalence) for cohorts born in cocoa-producing regions relative to those born in other regions. Impacts on related personality traits are consistent with this result. Maternal nutrition, reinforcing childhood investments, and adult circumstance are likely operative channels of impact.

We propose a technique for assessing robustness to demand effects of findings from experiments and surveys. The core idea is that by deliberately inducing demand in a structured way we can bound its influence. We present a model in which participants respond to their beliefs about the researcher's objectives. Bounds are obtained by manipulating those beliefs with "demand treatments." We apply the method to 11 classic tasks, and estimate bounds averaging 0.13 standard deviations, suggesting that typical demand effects are probably modest. We also show how to compute demand-robust treatment effects and how to structurally estimate the model.

This paper examines whether propaganda broadcast over radio helped to change inter-ethnic 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 behaviour is not cosmetic, and reflects a deeper change in inter-ethnic attitudes. The findings provide some of the first quantitative evidence that the salience of ethnic identity can be manipulated by governments

Engagement in a destructive war can be understood as the “punishment” for entering into a dispute. Institutions that reduce the chance that disputes lead to war make this punishment less severe. This may incentivize hawkish policies like militarization and potentially offset the benefits of peace brokering. We study a model in which unmediated peace talks are effective at improving the peace chance for given militarization but lead to more militarization and ultimately to a higher incidence of war. Instead, a form of third-party mediation inspired by work of Myerson effectively brokers peace in emerged disputes and also minimizes equilibrium militarization.

Group members value informed decisions and hold ideological preferences. A leader takes a decision on their behalf. Good leadership depends on characteristics of moderation and judgment. The latter emerges (endogenously) via advice communicated by “trustworthy associates.” Trustworthy advice requires ideological proximity to the leader. A group may choose a relatively extreme leader with a large number of such associates. Paradoxically, this can happen though it is in the group’s collective interest to choose a moderate leader. To assess whether these insights persist when political groups compete, we embed our analysis in a model of elections. Each of two parties chooses a leader who implements her preferred policy if elected. We find that a party may choose an extreme leader who defeats a moderate candidate chosen by the opposing party. Our results highlight the importance of party cohesion and the relations between a leader and her party. These can be more important to electoral success than proximity of a leader’s position to the median voter.

To what extent does crime follow the pattern of potential gains to illegal activity? This article presents evidence on how criminals respond to this key incentive by reporting crime–price elasticities estimated from a comprehensive crime dataset containing detailed information on stolen items for London between 2002 and 2012. Evidence of significant positive crime–price elasticities are shown, for a panel of 44 consumer goods and for commodity related goods (jewellery, fuel, and metal crimes). The reported evidence indicates that potential gains are a major empirical driver of criminal activity and a crucial part of the economic model of crime. The changing structure of goods prices helps to explain over 10–15% of the observed fall in property crime across all goods categories, and the majority of the sharp increases in the commodity related goods observed between 2002 and 2012.

We show that psychological well-being in adulthood varies with circumstance in early life. Combining a time series of real producer prices of cocoa with a nationally representative household survey in Ghana, we find that a one standard deviation rise in the cocoa price in early life decreases the likelihood of severe mental distress in adulthood by 3 percentage points (half the mean prevalence) for cohorts born in cocoa-producing regions relative to those born in other regions. Impacts on related personality traits are consistent with this result. Maternal nutrition, reinforcing childhood investments, and adult circumstance are likely operative channels of impact.

This article studies the impact of distortions in the access to international capital markets on competition and productivity. I show that a reduction in these distortions leads to an increase in aggregate productivity through two different channels. First, firms that were previously credit constrained respond to better financing terms by increasing their investment in technology, a reallocation effect. Secondly, non-constrained firms also expand their investment in technology because of increased competition, a pro-competitive effect. I provide evidence for these two channels using firm-level census data from the deregulation of international financial flows in Hungary.

Most projects, in most walks of life, require the participation of multiple parties.While it is difficult to unite individuals in a common endeavor, some people, whomwe call “movers and shakers,” seem able to do it. The paper specifically examinesmoving and shaking of an investment project, whose return depends both on itsquality and the total capital invested in it. We analyze a model with two types ofagents: managers and investors. Managers and investors initially form social connections.Managers then bid to buy control of the project and the winning bidderputs effort into making investors aware of it. Finally, a subset of aware investors aregiven the chance to invest and they decide whether to do so after receiving privatesignals of the project’s quality. We first show that connections are valuable sincethey make it easier for a manager to “move and shake” the project (i.e., obtain capitalfrom investors). When we endogenize the network, we find that, while managersare identical ex ante, a single manager emerges as most connected; he consequentlyearns a rent. In extensions, we move away from the assumption of ex ante identicalmanagers to highlight forces that lead one manager or another to become a moverand shaker. Our theory sheds light on a range of topics including: entrepreneurship,venture capital, and anchor investments.

We endogenize entry to a security-bid auction, where participationis costly, and bidders must decide given their private valuationswhether to participate. We first consider any minimum reservesecurity-bid of a fixed expected value that weakly exceeds the asset’svalue when retained by the seller. Demarzo, Kremer and Skrzypacz(2005) establish that with a fixed number of bidders, auctionswith steeper securities yield the seller more revenues. Counterintuitively,we find that auctions with steeper securities also attractmore entry, further enhancing the revenues from such auctions.We then establish that with optimal reserve securities, auctionswith steeper securities always yield higher expected revenues.

We examine the impact of Chinese import competition on broad measures of technical change - patenting, IT and TFP – using new panel data across twelve European countries from 1996-2007. In particular, we establish that the absolute volume of innovation increases within the firms most affected by Chinese imports in their output markets. We correct for endogeneity using the removal of product-specific quotas following China’s entry into the World Trade Organization in 2001. Chinese import competition led to increased technical change within firms and reallocated employment between firms towards more technologically advanced firms. These within and between effects were about equal in magnitude, and account for 15% of European technology upgrading over 2000-2007 (and even more when we allow for offshoring to China). Rising Chinese import competition also led to falls in employment and the share of unskilled workers. In contrast to low-wage nations like China, developed countries imports had no significant effect on innovation.

Engagement in a destructive war can be understood as the “punishment” for entering into a dispute. Institutions that reduce the chance that disputes lead to war make this punishment less severe. This may incentivize hawkish policies like militarization and potentially offset the benefits of peace brokering. We study a model in which unmediated peace talks are effective at improving the peace chance for given militarization but lead to more militarization and ultimately to a higher incidence of war. Instead, a form of third-party mediation inspired by work of Myerson effectively brokers peace in emerged disputes and also minimizes equilibrium militarization.

This article studies optimal patents with respect to the timing of innovation disclosure. In a simple model, we identify forces that lead firms to either suboptimally patent too early or too late in equilibrium, and we determine conditions so that stronger patents induce earlier or later equilibrium disclosure. Then, by solving an infinite multistage patent game with a more explicit structure, we describe innovation growth, and derive detailed predictions that can be used for policy experiments. As an application, we calibrate our multistage game using summary statistics from the seeds breeding industry. We find that weaker patent rights may result in welfare gains of 46% relative to the status quo. The gains are achieved because weaker patents reduce competition, thus leading firms to postpone patenting.