Li Liu, Ben Lockwood & Eddy Tam

This paper studies the effect of the VAT threshold on firm growth in the UK, using exogenous variation over time in the threshold, combined with turnover bin fixed effects, for identification. We find robust evidence that annual growth in turnover slows by about 1 percentage point when firm turnover gets close to the threshold, and weaker evidence of higher growth when the threshold is passed. Growth in firm costs shows a similar pattern, indicating that the response to the threshold is likely to be a real response rather than an evasion response. Firms that habitually register even when their turnover is below the VAT threshold (voluntary registered firms) have growth that is unaffected by the threshold, whereas firms that select into the Flat-Rate Scheme have a less pronounced slowdown response than other firms. Similar patterns of turnover and cost growth around the threshold are also observed for non-incorporated businesses. Finally, simulation results clarify the relative contribution of "non-crossers" ( firms who eventually register for VAT) and "non-crossers" (those who permanently stay below the threshold) in explaining our empirical findings

Arthur Blouin & Sharun W. Mukand

he difficulty in resurrecting inter-ethnic cooperation in the aftermath of violence and genocide is one of the biggest challenges facing post-conflict societies. Using experimental data from post-genocide Rwanda and Burundi, this paper shows that an unwarranted tendency to blame others for negative outcomes is a behavioural barrier that makes reconciliation difficult. We show that individuals systematically (and mistakenly) blame accidental negative shocks (noise) to the deliberate intent of individuals (bias). This victimhood bias wherein individuals ascribe noise to bias is much larger for (a) individuals for whom ethnic identity is salient; (b) for those who have had greater exposure to inter-ethnic violence. Further, we observe that both inter-ethnic contact and economic development are associated with a decline in this victimhood bias. Finally, those with a lower victimhood bias are more likely to behave cooperatively in inter-ethnic relationships. Our results suggest that insurance agreements that limit negative shocks and reduce noise, can encourage reconciliation by mitigating feelings of victimhood.

Elliott Ash, David Cai, Mirko Draca & Shaoyu Liu

We study the impact of a large-scale scientist recruitment program – China’s Junior Thousand Talents Plan (青年千人计划) – on the productivity of recruited scholars and their local peers in Chinese host universities. Using a comprehensive dataset of published scientific articles, we estimate effects on quantity and quality in a matched difference-in-differences framework. We observe neutral direct productivity effects for participants over a 6-year post-period: an initial drop is followed by a fully offsetting recovery. However, the program participants collaborate at higher rates with more junior China-based co-authors at their host institutions. Looking to peers in the hosting department, we observe positive and rising productivity impacts for peer scholars, equivalent to approximately 0.6 of a publication per peer scholar in the long-run. Heterogeneity analysis and the absence of correlated resource effects point to the peer effect being rooted in a knowledge spillover mechanism.

Sanval Nasim & Andreas Stegman

We conduct a field experiment to study whether concerns to preserve an anti-liberal self-image affect low cost, private school owners' willingness to explore a collaboration with a liberal Pakistani NGO. While explicitly revealing the NGO's liberal motivation to school owners has a significant impact on beliefs about the NGO's objectives, on average, we find only limited evidence that treated school owners are less willing to explore a collaboration with our partner NGO. However, heterogeneous treatment effects suggest that differences in political identity cause negative reactions among the minority of school owners expressing conservative beliefs during a seemingly unrelated follow-up survey.

Marcus Miller

Gerard Roland examines data going back to 3,000 BC for historical roots that might explain the current division of nations as between cultures of collectivism and individualism. In response to the appeal for theories bearing on the empirical evidence presented - and of recent moves by Russia and China to create a New World Order based on similar cultural division - three contributions are discussed. First is the competing powers perspective of Acemoglu and Robinson, who propose that individualism flourishes where power is evenly balanced between the state and the people : otherwise, either Despotism or Disorder will ultimately prevail. Then there is Ken Binmores study of cooperative social contracts : this offers support for stable societies of each cultural type, based on the folk theorem of repeated games. Finally the notion that dictatorship may be sustained by deception rather than repression - by leaders whom Guriev and Treisman call spin dictators. In the light of these perspectives, what to make of the current drive for a new global order that recognizes different spheres of influence for each of Roland’s cultural types? We look specifically at the case of Russia.

Holger Breinlich, Elsa Leromain, Dennis Novy & Thomas Sampson

How does import protection affect export performance? In trade models with scale economies, import liberalization can reduce industry-level exports by cutting domestic production. We show that this export destruction mechanism reduced US export growth following the permanent normalization of trade relations with China (PNTR). But there was also an offsetting boost to exports from lower input costs. We use our empirical results to calibrate the strength of scale economies in a quantitative trade model. Counterfactual analysis implies that while PNTR increased aggregate US exports relative to GDP, exports declined in the most exposed industries because of the export destruction effect. On aggregate, the US and China both gain from PNTR, but the gains are larger for China.

Xavier D’Haultfoeuille, Ao Wang, Philippe Février & Lionel Wilner

Despite the wide adoption of revenue management in many industries such as airline, railway, and hospitality, there is still scarce empirical evidence on the gains or losses of such strategies compared to uniform pricing or fully flexible strategies. We quantify such gains and losses and identify their underlying sources in the context of French railway transportation. The identification of demand is complicated by censoring and the absence of exogenous price variations. We develop an original identification strategy combining temporal variations in relative prices, consumers’ rationality and weak optimality conditions on the firm’s pricing strategy. Our results suggest similar or better performance of the actual revenue management compared to optimal uniform pricing, but also substantial losses of up to 16.2% compared to the optimal pricing strategy. We also highlight the key role of revenue management in acquiring information when demand is uncertain.

Joseph Capuno, Jose Corpuz & Samuel Lordemus

This paper examines how natural disasters affect low public nances and their interplay with intergovernmental transfers and external resources. We document the causal effect of a natural disaster on the allocation of local public resources the local government fiscal dynamics by exploiting the random nature of the 2013 Typhoon Haiyan, one of the most devastating natural disasters in recent history. Combining data on local government nance with reports on the level of damages caused by the typhoon, we employ several estimation strategies: we first rely on difference-in-differences and event study designs, and we further address a potential endogeneity concern by instrumenting the intensity exposure to the typhoon with distance to the storm path. We show that local revenue and public expenditures remain largely unaffected, except debt service, which are on average 15% lower in affected cities or municipalities. However, we document important heterogeneity in local revenue responses. We find no support for the moral hazard problem : our results indicate that external aid leads to higher local expenditures, particularly general public services, socioeconomic expenditures, including education and social services, and debt payments. These results highlight the crucial role of central government transfers in supporting local governments and mitigating the geographical economic disparities in the aftermath of exogenous shocks such as natural disasters.

Gianna Boero, Brian Karanja, Robin Naylor and Tammy Thiele

Previous research has established that undergraduate students in the UK who had attended private schools perform less well at university, on average, than equivalent students who had been educated at a state school prior to university (Smith and Naylor, 2001 and 2005; Crawford, 2014a). This well-known result has provided an evidence base for the use of contextualised offers in admissions across the sector (Schwartz Report, 2004; Hubble and Bolton, 2020) as an instrument for enhancing social mobility. In the current paper, we use a rich dataset for a particular university to examine whether the negative association between private schooling and class of degree awarded holds across all students, independent of ethnicity: we find that it does not. For White students, we obtain the standard result that private schooling is associated negatively with class of degree. However, in stark contrast, among students whose ethnicity is self-reported as either Black, Asian or Mixed Ethnicity, attendance at a private school prior to university is, on average, associated positively with the class of degree awarded. On further exploration, we find this is driven by a strong positive association among Black students and students of Mixed Ethnicity; the overarching category of Black, Asian and Minority Ethnicity conceals substantive differences within the category. Among Asian students, the absence of any association between private schooling and degree class, on average, masks a very strong negative association for those from lower socioeconomic status backgrounds. We discuss and interpret our results in the context of hypotheses within the literatures on schooling effects and on the ethnicity awarding gap in higher education.

Sascha O. Becker & Steven Pfaff

Over many centuries, church and state have grown together, and apart. Sometimes linked like Siamese twins, sometimes in conflict with each other. This chapter discusses the major themes in the literature on church and state, some of the findings in the political economy of religion, and evaluates emerging directions in research on church-state relations.

Mirko Draca, Emma Duchini, Roland Rathelot, Arthur Turrell & Giulia Vattuone

The pandemic was accompanied by a wave of adoption of remote work practices. This paper uses online job vacancy data to study how UK firms have adopted remote work. Overall, remote work increased by 300%. Our analysis finds little evidence that occupations have fundamentally changed to better accommodate remote work tasks, nor evidence of changes in the occupational composition of jobs. We find that the overall increase in remote working is driven by the increasing use of remote work at the firm level, especially among firms that were less likely to use remote work before the pandemic. This is consistent with changes in organisational practices or updated information about the viability of large-scale remote working.

Zeynep O Kurter

This study quantifies the effects of macroeconomic variables on various market-based systemic-risk measures in 24 European banks over the 2008-2019 period. In a first step, I measure daily systemic risk for banks based on ∆CoVaR, MES, and SRISK frameworks, and examine the contributions of individual banks to aggregate systemic risk during specific stress events. Systemic risk in European banks has risen in the wake of the global financial crisis and the Brexit referendum result. In a second step, I investigate how macroeconomic conditions affect systemic risk in the short and long-run. I find that three systemic risk measures have a long-run stable relationship with EU industrial production, EU inflation, Euribor, and US equity market volatility, but some variables have opposite effects in the short and long-run.

Benjamin Lockwood, Francesco Porcelli & James Rockey

This paper uses an instrumental variable approach based on close elections to evaluate the effect of political parties on local fiscal policy in England and Wales over the period 1998-2016. Our main finding is that political control of the council (by Labour, Conservative or Liberal Democrat parties) has no effect on total expenditure, the composition of expenditure, the property tax rate (council tax per band D property) or total council tax revenue. Thus, our results confirm the widely expressed belief that centrally imposed constraints on local government fiscal policy (rate-capping, and more recently, compulsory referenda) hold local government fiscal policy in a tight grip.

Pedro Gomes, Zeynep O. Kurter and Rubens Morita

We investigate the lead-lag relationship between weekly sovereign bond yield changes and stock market returns for eight European countries, and how it changed during the period 2008-2018. We use a Markov-Switching Granger Causality method that determines reversals of causality endogenously. In all countries, there were often changes in the direction of the Granger causality between the two markets that coincided with global and idiosyncratic economic events. Stock returns led changes of sovereign bond yields in all countries, particularly during the financial and the Euro Area crisis. Changes of sovereign bond yields occasionally led stock returns in France, Spain and Portugal.

Sonia R. Bhalotra, Manuel Fernandez and Fan Wang

We develop an equilibrium model of the labor market to investigate the joint evolution of gender gaps in labor force participation and wages. We do this overall and by task-based occupation and skill, which allows us to study distributional effects. We structurally estimate the model using data from Mexico over a period during which women's participation increased by fty percent. We provide new evidence that male and female labor are closer substitutes in high-paying analytical task-intensive occupations than in lower-paying manual and routine task-intensive occupations. We find that demand trends favored women, especially college-educated women. Consistent with these results, we see a widening of the gender wage gap at the lower end of the distribution, alongside a narrowing at the top. On the supply side, we find that increased appliance availability was the key driver of increases in the participation of unskilled women, and fertility decline a key driver for skilled women. The growth of appliances acted to widen the gender wage gap and the decline of fertility to narrow it. We also trace equilibrium impacts of growth in college attainment, which was more rapid among women, and of emigration, which was dominated by unskilled men. Our counterfactual estimates demonstrate that ignoring the countervailing effects of equilibrium wage adjustments on labor supplies, as is commonly done in the literature, can be misleading.

Arun Advani & Andy Summers

Few topics attract such intense political debate as top tax rates : in the UK, this has led to two top income tax rate reforms since the financial crisis. Recently, the measurement of top incomes and wealth has also proved controversial, in both the UK and the US. The chapter by Delestre et al. (2022) examines both of these issues. It first studies the distribution of income in the UK, focusing on the income sources and demographics of those at the top, as well as non-taxable sources of income. It then describes the current taxation of top incomes, and suggests some directions for reform. Mirroring this structure, in this commentary we discuss first the measurement of financial inequalities, focusing on top income and wealth shares, and then the scope for policy reforms to tackle some of the issues raised, also focusing on the UK.

James Fenske, Bishnupriya Gupta & Cora Neumann

We construct novel data on female population shares by age, district, and religion in South Asia from 1881 to 1931. Sex ratios skew male in Northern India and are more balanced in Southern and Eastern India, including Burma. Male-biased sex ratios emerge most visibly after age 10, and this is not specific to any one region, religion, or time period. Sikhs have the most male-biased sex ratios, followed by Hindus, Muslims, and Jains. The female share correlates across religious groups within districts. Evidence that sex ratios correlate with suitability for wheat and rice is weaker than suggested by the existing literature.

Peter J. Hammond

Following previous work on consequentialist decision theory, we consider an unrestricted domain of finite decision trees, including continuation subtrees, with : (i) decision nodes where the decision maker must make a move ; (ii) chance nodes at which a “roulette lottery” with exogenously specified strictly positive probabilities is resolved ; (iii) event nodes at which a “horse lottery” is resolved. A complete family of binary conditional base preference relations over Anscombe–Aumann lottery consequences is defined to be “prerational” just in case there exists a behaviour rule that is defined throughout the tree domain which is explicable as avoiding, under all predictable circumstances, consequences that are regrettable given what is feasible. Prerationality is shown to hold if and only if all conditional base preference relations are complete and transitive, while also satisfying both the independence axiom of expected utility theory and a strict form of Anscombe and Aumann’s extension of Savage’s sure thing principle. Assuming that the base relations satisfy non-triviality and a generalized form of state independence that holds even when consequence domains are state dependent, prerationality combined with continuity on Marschak triangles is equivalent to representation by a refined subjective expected utility function that excludes zero probabilities.

Mirko Draca, Jason Garred, Leanne Stickland & Nele Warrinnier

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 program. Our identification strategy focuses on the process of negotiations for sanctions removal, examining which interests bene t 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.

Ben Lockwood, Minh Le & James Rockey

This paper explores the implications of voter loss-aversion and imperfect recall for the dynamics of electoral competition in a simple Downsian model of repeated elections. We first establish a benchmark result: when the voters’ reference point is forward-looking, there are a continuum of rational expectations equilibria (REE). When voters are backward-looking i.e. the reference point is last period’s recalled policy, interesting dynamics only emerge when voters have imperfect recall about that policy. Then, the interplay between the median voter’s reference point and political parties’ choice of platforms generates a dynamic process of polarization (or de-polarization). Under the assumption that parties are risk-neutral, platforms monotonically converge over time to a long-run equilibrium, which is always a REE. When parties are risk-averse, dynamic incentives also come into play, and generally lead to more policy moderation, resulting in equilibria that are more moderate than the most moderate REE.

Ali Abbasi, Ludovica Gazze & Bridget Pals

Lead exposure remains a significant threat to children’s health despite decades of policies aimed at getting the lead out of homes and neighborhoods. Generally, lead hazards are identified through inspections triggered by high blood lead levels (BLLs) in children. Yet, it is unclear how best to screen children for lead exposure to balance the costs of screening and the potential benefits of early detection, treatment, and lead hazard removal. While some states require universal screening, others employ a targeted approach, but no regime achieves 100% compliance. We estimate the extent and geographic distribution of undetected lead poisoning in Illinois. We then compare the estimated detection rate of a universal screening program to the current targeted screening policy under different compliance levels. To do so, we link 2010-2016 Illinois lead test records to 2010-2014 birth records, demographics, and housing data. We train a random forest classifier that predicts the likelihood a child has a BLL above 5µg/dL. We estimate that 10,613 untested children had a BLL≥5µg/dL in addition to the 18,115 detected cases. Due to the unequal spatial distribution of lead hazards, 60% of these undetected cases should have been screened under the current policy, suggesting limited benefits from universal screening.

Sascha O. Becker

Forced displacement as a consequence of wars, civil conflicts, or natural disasters does not only have contemporaneous consequences but also long- run repercussions. This eclectic overview summarizes some recent research on forced displacement in economic history. While many of the episodes covered refer to Europe, this survey points to literature across all continents. It highlights new developments, and points to gaps in the literature.

Victor Lavy & Yoav Goldstein

We estimate the short-run and longer-term effects of gifted children programs (GCP) in high schools in Israel. The program tracks the most talented students into gifted children classes, starting 10th grade. They receive more resources in smaller classes, a unique curriculum, access to high-quality teachers, and courses in universities. We use test scores in exams that measure cognitive achievements or intelligence and ability, measured in different ages, to select a comparison group of equally gifted students from other cities where GCP was not offered at the time. Based on administrative data, we follow 22 cohorts of GCP participants who graduated high school in 1992-2013. We measure treatment effects on outcomes, ranging from high school to the labor market in their 30s and 40s. Remarkably, the results we obtain do not vary when using alternative measures of ability or in the age, they are assessed. The evidence on the impact of GCP on academic achievements in high school is mixed, some compulsory subjects are affected negatively, and fewer are affected positively. However, these estimates are very small, implying a tiny effect size. These results stand in contrast to the abundance of educational resources enjoyed by GCP participants, in addition to better peers in terms of SES background and outcomes. We discuss in this context the objective of the program to widen the scope and area of interest of its participants beyond the regular curriculum. We also highlight the potential adverse effect of the Big-Fish-Little Pond Effect. In the longer run, we find meaningful positive effects of GCP on higher education attainment. All gifted children achieve a BA degree, but a much higher share of GCP participants graduate with a double major. The effect of getting a Ph.D. is also positive, driven by more Ph.D. degrees in Elite Universities. GCP participants study more math, computer, and physical sciences but engage less in engineering programs. The net effect on STEM degrees is, therefore, zero. However, a much higher share of GCP participants graduated with two STEM majors. This evidence, along with the significant effect on a double major, suggests that GCP enhances the impact of “multipotentiality,” which characterizes many gifted adolescents. We find no effect of GCP on employment and earnings. Nor do we find that they work more than other equally talented children in the various sectors of the knowledge economy: hi-tech manufacturing, hi-tech services, and academic institutions. Finally, we examine marriage and family formation patterns as mediating effects and find no discerned GCP effects. In the short-term, medium-run, and into adulthood, these comprehensive sets of results are not qualitatively different for females and males gifted children who participated in GCP. Treatment heterogeneity by giftedness level allows us to compare our results to earlier studies that used regression discontinuity designs to identify GCP effects on only marginally eligible students for such programs. We find meaningful differences in treatment effect between marginal and inframarginal gifted children, suggesting that it is essential to examine GCP’s impact over the whole spectrum of Giftedness. Importantly, we find that GCP similarly affects low and high-SES students. Half of the students among the six youngest cohorts in our sample started the program in middle school, while the others did that in high school. We find no differences in GCP effect on high school and university outcomes by the length of the program

Thiemo Fetzer & Christopher Rauh

This paper documents that the COVID-19 pandemic induced pressures on thehealth care system have significant adverse knock-on effects on the accessibility and quality of non-COVID-19 care. We observe persistently worsened performance and longer waiting times in A&E; drastically limited access to specialist care; notably delayed or inaccessible diagnostic services; acutely undermined access to and quality of cancer care. We find that providers under COVID-19 pressures experience notably more excess deaths among non-COVID related hospital episodes such as, for example, for treatment of heart attacks. We estimate there to be at least one such non-COVID-19 related excess death among patients being admitted to hospital for non-COVID-19 reasons for every 30 COVID-19 deaths that is caused by the disruption to the quality of care due to COVID-19. In total, this amounts to 4,003 non COVID-19 excess deaths from March 2020 to February 2021. Further, there are at least 32,189 missing cancer patients that should counterfactually have started receiving treatment which suggests continued increased numbers of excess deaths in the future due to delayed access to care in the past.

Yashar H. Barardehi, Dan Bernhardt, Zhi Da & Mitch Warachka

The decision of wholesalers to internalize retail order flow primarily reflects institutional liquidity demand. We first use the Tick Size Pilot to highlight this decision’s influence on the retail trade imbalances denoted Mroib by Boehmer et al. (2021). We then show that wholesalers internalize more retail order flow when institutional demand is higher, leading Mroib to be inversely related to institutional order flow. Intraday returns move in the same direction as institutional price pressure but the opposite direction of Mroib. Moreover, |Mroib| is highest when institutional trading costs are highest. Distant future returns display strong ∪-shaped patterns conditional on Mroib, consistent with a permanent liquidity premium driving the positive relation between these returns and the magnitude of |Mroib|.

Satadru Das, Lucie Gadenne, Tushar Nandi & Ross Warwick

This paper investigates the effect of electronic payments technology on firms' tax compliance in a large developing economy. We consider India's demonetization policy which, by limiting the availability of cash, led to a large increase in the use of electronic forms of payments. Using administrative data on firms' tax returns and variation in the strength of the demonetization shock across local areas, we find that greater use of electronic payments leads to firms reporting more sales to the tax authorities. This effect is strong enough to explain roughly half of the large (11%) increase in reported sales observed during demonetization.

Sonia Bhalotra, Emilia Brito, Damian Clarke, Pilar Larroulet & Francisco Pino

We leverage staggered implementation of lockdown across Chile’s 346 municipalities, identifying dynamic impacts on domestic violence (DV). Using administrative data, we find lockdown imposition increases indicators of DV-related distress, while decreasing DV reports to the police. We identify male job loss as a mechanism driving distress, and female job loss as driving decreased reporting. Stimulus payments to poor households act on both margins, their impacts partially differentiated by lockdown status. Once lockdown is lifted, police reports surge but we see a ratchet effect in distress. Our findings accentuate the controversy around welfare impacts of lockdown mandates.

Sonia Bhalotra, Damian Clarke, Hanna Mühlrad and Mårten Palme

IVF allows women to delay birth and pursue careers, but IVF massively increases the risk of twin birth. There is limited evidence of how having twins influences women’s post-birth careers. We investigate this, leveraging a single embryo transfer (SET) mandate implemented in Sweden in 2003, following which the share of twin births showed a precipitous drop of 70%. Linking birth registers to hospitalization and earnings registers, we identify substantial improvements in maternal and child health and women’s earnings following IVF birth, alongside an increase in subsequent fertility. We provide the first comprehensive evaluation of SET, relevant given the secular rise in IVF births and growing concerns over twin birth risk. We contribute new estimates of the child penalty imposed by twin as opposed to singleton birth, relevant to the secular rise in the global twin birth rate.

Anselm Hager, Lukas Hensel, Christopher Roth & Andreas Stegmann

We conduct a natural field experiment with a major European party to test whether giving party supporters the opportunity to voice their opinions increases their engagement in the party’s electoral campaign. In our experiment, the party asked a random subset of supporters for their opinions on the importance of different topics. Giving supporters more 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 our voice treatments also increase other margins of campaign effort as well as perceived voice. Our evidence highlights that parties can increase their supporters’ investment in the democratic process by implementing policies that increase their voice.

Georgios Efthyvoulou, Vincenzo Bove & Harry Pickard

When people migrate internally, do they tend to move to locations that reflect their political preferences? To address this question, we first compile a unique panel dataset on the universe of population movements in England and Wales across 346 local authority districts over the period 2002-2015, and estimate a gravity model of internal migration. We show that proximity in partisan composition exerts an important positive effect on migration flows, which is of a similar order of magnitude as wage differentials or ethnic proximity. We then use individual survey based data over the same time period to investigate some of the micro-foundations underlying the macromoves. We find that political alignment to the district of residence contributes to individuals' sense of belonging and fitting in consistent with the existence of a political homophily mechanism and that a migrant's political ideology can predict the partisanship of the destination district.

Sonia Bhalotra, Atheendar Venkataramani & Selma Walther

We investigate women’s fertility, labor and marriage market responses to 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. This constitutes 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.

Gianna Boero, Tej Nathwani, Robin Naylor and Jeremy Smith

A long-standing puzzle in the economics of education concerns the observed constancy of the average earnings premium for a degree despite a prolonged period of substantial growth in the share of graduates in the working population in the UK. Focusing on birth cohorts between 1970 and 1990, we produce evidence of a recent decline in the earnings premium for graduates over non-graduates by age 26. For those born in 1990, we estimate an average graduate earnings premium of 10%, contrasting with an estimate of 17% for the 1970 birth cohort. We also find a substantial increase in dispersion around the average premium according to class of degree awarded. Combined with a falling average, this has left the earnings of 1990-born graduates awarded lower degree classes only 3% above that of non-graduates. Among the 1970-born cohort, the equivalent earnings premium was 14%. We suggest that this precipitous fall is consistent with a ‘double-scarring’ effect associated with the combination of increased higher education participation and a rise in the proportion of graduates awarded an upper honours degree over the span of the two cohorts.

Thiemo Fetzer

Reliable COVID-19 testing remains a central pillar to manage the pandemic. Yet, the accuracy and reliability of tests and test equipment has regularly been brought into question. Both false-positive and false-negative test results convey costs. Yet, false negatives are likely more problematic due to the risk of onward transmission and the failure to break infection chains as a result. This paper studies the epidemiological impact of a false negative in the context of a high vaccine uptake country. Between 2 September and 12 October an estimated 43,000 PCR tests in the UK may have produced a false negative test result with individuals infected being told that they tested negative. These instances were particularly pronounced in the South West of England. Using a synthetic control method approach concentrating on the 13 most affected regions, this paper estimates that every false negative COVID-19 case is likely to have caused between 0.6 to 1.6 additional infections in the subsequent weeks

Natalie Chen & Dennis Novy

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 WTO 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.

Manuel Bagues & Velichka Dimitrova

We quantify the impact of COVID-19 vaccination on psychological well-being using information from a large-scale panel survey representative of the UK population. Exploiting exogenous variation in the timing of vaccinations, we find that vaccination increases psychological well-being by 0.12 standard deviation, compensating for around one half of the overall decrease caused by the pandemic. This effect persists for at least two months, and it is associated with a decrease in the perceived likelihood of contracting COVID-19 and higher engagement in social activities. The improvement is 1.5 times larger for mentally distressed individuals, supporting the prioritization of this group in vaccination roll-outs.

Michael W.L. Elsby Jennifer C. Smith Jonathan Wadsworth

This paper examines the role of population flows on labour market dynamics across immigrant and native-born populations in the United Kingdom. Population flows are large, and cyclical, driven first by the maturation of baby boom cohorts in the 1980s, and latterly by immigration in the 2000s. New measures of labour market flows by migrant status uncover both the flow origins of disparities in the levels and cyclicalities of immigrant and native labour market outcomes, as well as their more recent convergence. A novel dynamic accounting framework reveals that population flows have played a non-trivial role in the volatility of labour markets among both the UK-born and, especially, immigrants.

Jiaqi Li

This paper documents substantial racial differences in child penalties in the US. Black women experience only half the child penalties as white women. The racial gap is primarily driven by married women with high wages in the South, returning to the labor market almost immediately after childbirth. Furthermore, the racial gap does not change after I control for the racial difference in the distribution of her prior-childbirth covariates (wage, occupation, industry, government job, job with life insurance), husband covariates (labor income, wage, or gender attitudes), uncertainty (variance in husband income, asset income, or probability of husband being laid-off), and informal help (number of relatives within walking distance, and the number of sisters). In addition, the racial gap in child penalty is uncorrelated with time-varying state-level incarceration. In conclusion, the paper largely rules out economic covariates, gender norms, homeownership, informal family help, and potential incarceration of husbands as the main mechanisms driving the gap, leaving preference and discrimination as potential explanations.

Ali Moghaddasi Kelishomi and Daniel Sgroi

Iran has the world’s only government-regulated kidney market, in which around 1000 individuals go through live kidney-removal surgery annually. We report the results of the first field study of donor behavior in this unique and controversial market. Those who enter the market have low income, typically entering to raise funds. They have lower risk tolerance and higher patience levels than the Iranian average. There is no difference in rationality from population averages. There is evidence of altruism among participants. This might shed light on the sort of people likely to participate if other nations were to operate such markets.

Marcus Miller & Ben Zissimos

From a wide-ranging historical survey, Acemoglu and Robinson conclude that the preservation of liberty depends on being in a ‘narrow corridor’ where there is a balance of power between the state and society. We first examine the support Binmore's game-theoretic treatment of Social Contracts provides for such a ‘narrow corridor’ of liberty and justice – and what extremes to expect without them. We also consider how the biological model of Competing Species helps to describe the dynamics of conflicting powers outside the narrow corridor– where, as in contemporary Russia and China, any Social Contracts that exist are neither free nor fair.

Arun Advani

Capital gains are particularly complex to tax given their infrequency, the different ways in which they are generated, and worries about harming productivity. There are theoretical arguments in support of everything from zero rates to high rates of tax on capital. In this paper, I first discuss the impact of capital gains on inequality, which often motivates discussions about how gains should be taxed. I then set out the principles that determine how gains should be taxed, in particular how the tax rate should relate to income tax rates. I propose that capital gains tax rates be equalized with income tax rates, subject to provisions to allow gains to be ‘smoothed’ over time and to remove inflation from the tax base. I highlight key transitional issues in moving to such a tax structure. Finally, I discuss the specific lessons for Canada.

Alessandro Iaria and Ao Wang

We introduce a Generalized Nested Logit model of demand for bundles that can be estimated sequentially and virtually eliminates any challenge of dimensionality related to large choice sets. We use it to investigate quantity discounts for carbonated soft drinks by simulating a counterfactual with linear pricing. The prices of quantities up to 1L decrease by −31.5% while those of larger quantities increase by +14.8%. Purchased quantities decrease by −20.4%, associated added sugar by −23.8%, and industry profit by −20.5%. Consumer surplus however reduces only moderately, suggesting that linear pricing may be effective in limiting added sugar intake.

Amit Chaudhary

Misallocation of resources in an economy makes firms less productive. I document the roles of heterogeneity, sorting, and complementarity in a framework where workers, managers, and firms interact to shape productivity. The approach I follow uses the movement of workers and managers across firms to identify the distribution of productivity. I webscraped novel microdata of crime reports from the Indian police department and combined them with the worker-level measurement of productivity. Using this data I show that the third source of heterogeneity in the form of manager ability is an important driver of differences in firm productivity. I empirically identify complementarities between workers, managers, and firms using my estimation methodology. Counterfactual results show that reallocating workers by applying a positive assortative sorting rule can increase police department productivity by 10%.

Sonia Bhalotra and Manuel Fernandez

We investigate supply-side barriers to medical care in Colombia, where citizens have a constitutional right to health, but insurance companies impose restrictions. We use administrative data on judicial claims for health as a proxy for unmet demand. We validate this using the health services utilization register, showing that judicial claims map into large, pervasive decreases in medical consultations, procedures, hospitalizations and emergency care. This manifests in population health outcomes. We identify increases in mortality pervasive across cause, age, sex, and income, with larger increases for cancer and individuals over the age of fifty.

Sonia Bhalotra, Irma Clots-Figueras & Lakshmi Iyer

Debates around abortion typically invoke religion and politics but there is no causal evidence of the impact of politician religion on abortion. Leveraging quasi-random variation in politician religion generated by close elections in India and controlling for the party affiliation of politicians, we find lower rates of sex-selective abortion in districts won by Muslim state legislators, consistent with a higher reported aversion to abortion among Muslims compared to Hindus. The competing hypothesis that this reflects weaker son preference among Muslims is undermined by stated preference data and by demonstrating that fertility and girl-biased infant mortality increase in Muslim-won districts

Daniel Sgroi, Jonathan Yeo and Shi Zhuo

Group identity is known to exert a powerful socio-psychological influence on behaviour but to date has been largely explored as a uni-dimensional phenomenon. We consider the role of multiple dimensions of identity, asking what might happen to ingroup and outgroup perceptions and the resulting implications for cooperation. Carefully selecting two politically charged identity dimensions documented to have similar strength and to be largely orthogonal (religious belief and views about government size), we find that priming individuals to consider both dimensions rather than one has a noticeable effect on behaviour. Moving from one to two dimensions can produce a significant increase in ingroup allocations at the expense of fairness to outgroup individuals, although the effect varies as we switch from primarily considering religion to government size. Evidence suggests that the heterogeneity of such effects is related to the degree of “harmony” between groups in the dimensions concerned.

Ceren Bengu Cibik and Daniel Sgroi

We provide the first investigation of the relationship between self-awareness and dishonesty in a multi-wave pre-registered experiment with 1,260 subjects. In the first wave we vary the level of awareness of subjects' past dishonesty and explore the impact on behaviour in tasks that include the scope to lie. In the second wave we vary the degree of competitiveness in one of our core tasks to further explore the interactions between self-awareness, (dis)honesty and competition. We also test for the experimental demand effect in order to rule it out. Our results suggest that in non-interactive tasks, self-awareness helps to lower dishonesty in the future. However, in tasks that are competitive in nature becoming more aware of past dishonesty raises the likelihood of dishonesty in the future. In other words, we show when making people aware of their own past dishonesty can help to reduce dishonesty and when it might backfire. We are also careful to test for any possible demand effect, and perform text analysis to provide independent verification of the success of our treatments.

Elliott Ash, Daniel Sgroi, Anthony Tuckwell and Shi Zhuo

Mindfulness meditation has been found to influence various important outcomes such as health, stress, depression, productivity, and altruism. We report evidence from a randomised controlled trial on a previously untested effect of mindfulness: information avoidance. We find that a relatively short mindfulness treatment (two weeks, 15 minutes a day) is able to induce a statistically significant reduction in information avoidance – that is, avoiding information that may cause worry or regret. Supplementary evidence supports mindfulness’s effects on emotion regulation as a possible mechanism for the effect.

Daniel AC Barbosa, Thiemo Fetzer, Caterina Soto & & Pedro CL Souza

We provide experimental evidence that monitoring of the police activity through body-worn cameras reduces use-of-force, handcuffs and arrests, and enhances criminal reporting. Stronger treatment effects occur on events classified ex-ante of low seriousness. Monitoring effects are moderated by officer rank, which is consistent with a career concern motive by junior officers. Overall, results show that the use of body-worn cameras de-escalates conflicts.

Nicholas Crafts

This paper reviews the claim that economic policymakers in the post-Covid UK should learn the lessons of the 1940s. Post-1945 policies relating to delivering full employment, levelling up, upgrading social security, dealing with the public debt legacy, and addressing the productivity puzzle are considered. The paper finds many reasons to criticize 1940s’ policies. Although, superficially, outcomes appear to have been good, a closer look reveals significant failings notably concerning design of the welfare state and supply-side policy for growth. The main lesson from the 1940s is not to repeat the policy errors of those days.

Arun Advani, Helen Hughson & Hannah Tarrant

In this paper we model the revenue that could be raised from an annual and a one-off wealth tax of the design recommended by Advani, Chamberlain and Summers (2020b). We examine the distributional effects of the tax, both in terms of wealth and other characteristics. We also estimate the share of taxpayers who would face liquidity constraints in meeting their tax liability. We find that an annual wealth tax charging 0.17% on wealth above £500,000 could generate £10 billion in revenue, before administrative costs. Alternatively, a one-off tax charging 4.8% (effectively 0.95% per year, paid over a five-year period) on wealth above the same threshold, would generate £250 billion in revenue. To put our revenue estimates into context, we present revenue estimates and costings for some commonly-proposed reforms to the existing set of taxes on capital.

Arun Advani & Hannah Tarrant

In this paper, we review the existing empirical evidence on how individuals respond to the incentives created by a net wealth tax. Variation in the overall magnitude of behavioural responses is substantial: estimates of the elasticity of taxable wealth vary by a factor of 800. We explore three key reasons for this variation: tax design, context, and methodology. We then discuss what is known about the importance of individual margins of response and how these interact with policy choices. Finally, we use our analysis to systematically narrow down and reconcile the range of elasticity estimates. We argue that a well-designed wealth tax would reduce the tax base by 7-17% if levied at a tax rate of 1%.

Arun Advani, George Bangham and Jack Leslie

We show that wealth inequality in the UK is high and has increased slightly over the past decade as financial asset prices increased in the wake of the financial crisis. But data deficiencies are a major barrier in understanding the true distribution, composition and size of household wealth. The most comprehensive survey of household wealth in the UK does a good job of capturing the vast majority of the wealth distribution, but that nearly £800 billion of wealth held by the very wealthiest UK households is missing. We also find tentative evidence that survey measures of high-wealth families undervalue their assets – our central estimate of the true value of wealth held by households in the UK is 5% higher than the survey data suggests.

Vasco M. Carvalho, Mirko Draca, and Nikolas Kuhlen

How do firms and inventors move through ‘knowledge space’ as they develop their innovations? We propose a method for tracking patterns of ‘exploration and exploitation’ in patenting behaviour in the US for the period since 1920. Our exploration measure is constructed from the text of patents and involves the use of ‘Bayesian Surprise’ to measure how different current patent-based innovations are from existing portfolios. Our results indicate that there are distinct ‘life-cycle’ patterns to firm and inventor exploration. Furthermore, exploration activity is more geographically concentrated than general patenting, but this concentration is centred outside the main hubs of patenting.

Farzad Javidanrad

Over the last four decades, the term “financialisation” has entered economics terminologies to explain the development of capitalist economies in which: a) the rate of profit in the production sector is falling or narrowing relative to that in the financial sector b) profit seeking through financial speculation has grown rapidly among the household and the production sectors; c) public and private debt is rapidly accelerating and its ratio to GDP is increasing swiftly; d) there is an independent and accelerated growth of the financial sector compared to that of the real sector. This paper is a theoretical attempt to shed light on these features through the lens of the paradox of monetary profit and its manifestation in the capitalist economy, i.e. the shortage of money in circulation. The aim of this paper is to show how the paradox of monetary profit provides a theoretical framework to analyse the mechanism by which the capitalist economies move towards financialisation. This theoretical argument shows the connection between the shortage of money in circulation and financialisation. The core idea proposed in this paper is that financialisation is the direct result of the shortage of money in circulation, and that this shortage can be explained through the paradox of monetary profit.

Arun Advani, Tahnee Ooms and Andy Summers

Policymakers tend to ‘treasure what is measured’ and overlook phenomena that are not. In an era of increased reliance on administrative data, existing policies also often determine what is measured in the first place. We analyse this two-way interaction between measurement and policy in the context of the investment incomes and capital gains that are missing from the UK’s official income statistics. We show that these ‘missing incomes’ change the picture of economic inequality over the past decade, revealing rising top income shares during the period of austerity. The underestimation of these forms of income in official statistics has diverted attention from tax policies that disproportionately benefit the wealthiest. We urge a renewed focus on how policy affects and is affected by measurement.

Sonia Bhalotra, Diogo G. C. Britto, Paolo Pinotti and Breno Sampaio

We estimate impacts of male job loss, female job loss, and male unemployment benefits on domestic violence in Brazil. We merge employer-employee and social welfare registers with administrative data on domestic violence cases brought to criminal courts, use of public shelters by victims and mandatory notifications of domestic violence by health providers. Leveraging mass layoffs for identification, we find that both male and female job loss, independently, lead to large and pervasive increases in domestic violence. Exploiting a discontinuity in unemployment insurance eligibility, we find that eligible men are not less likely to commit domestic violence while benefits are being paid, and more likely to commit it once benefits expire. Our findings are consistent with job loss increasing domestic violence on account of a negative income shock and an increase in exposure of victims to perpetrators, with unemployment benefits partially offsetting the income shock while reinforcing the exposure shock.

Rabah Arezki, Simeon Djankov, Ha Nguyen & Ivan Yotzov

Using a new dataset of 198 national elections across 48 democracies, this paper is the first to systematically examine the effects of oil price shocks on incumbents’ political fortunes in developed oil-importing countries. We find that oil price increases systematically lower the odds of re election for incumbents and increase the likelihood of changes in the ideology of the incoming government. These shocks are found to operate through lowering consumption growth

Bhaskar Chakravorty, Wiji Arulampalam, Apurav Yash Bhatiya, Clement Imbert & Roland Rathelot

Using a randomised experiment, we show that providing better information about prospective jobs to vocational trainees can improve their placement outcomes. The study setting is the vocational training programme DDU-GKY in India. We find that including in the training two information sessions about placement opportunities make trainees 17% more likely to stay in the jobs in which they are placed. We argue that this effect is likely 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.

Nicholas Crafts

In 1930 Keynes opined that by 2030 people would work only 15 hours per week. As such, this prediction will not be realised. However, expected lifetime hours of leisure and non-market work in the UK rose by 60 per cent between 1931 and 2011, considerably more than Keynes would have expected. This reflects increases in life expectancy at older ages and much longer expected periods of retirement. Leisure in retirement contributes to high life satisfaction for the elderly but building up savings to pay for it is a barrier to working only 15 hours per week.

Ludovica Gazze & Jennifer Heissel

Concerns about drinking water contamination through lead service lines, which connect street water mains to homes in many cities in the United States, might hinder resource-constrained municipalities from performing important infrastructure upgrades. Construction on water mains might disturb the service lines and increase lead levels in drinking water. We estimate the effects of water main maintenance on drinking water and children's blood levels by exploiting unique geocoded data and over 2,200 water main replacements in Chicago, a city with almost 400,000 known lead service lines. By comparing water and blood samples in homes at different distances from replaced mains before and after replacement, we find no evidence that water main replacement affects water or children's lead levels.

Arun Advani, Elliot Ash, David Cai & Imran Rasul

How does economics compare to other social sciences in its study of issues related to race and ethnicity? We assess this using a corpus of 500,000 academic publications in economics, political science, and sociology. Using an algorithmic approach to classify race-related publications, we document that economics lags far behind the other disciplines in the volume and share of race-related research, despite having higher absolute volumes of research output. Since 1960, there have been 13,000 race-related publications in sociology, 4,000 in political science, and 3,000 in economics. Since around 1970, the share of economics publications that are race-related has hovered just below 2% (although the share is higher in top-5 journals); in political science the share has been around 4% since the mid-1990s, while in sociology it has been above 6% since the 1960s and risen to over 12% in the last decade. Finally, using survey data collected from the Social Science Prediction Platform, we find economists tend to overestimate the amount of race-related research in all disciplines, but especially so in economics.

Felix Chopra, Ingar Haaland & Christopher Roth

Using a large-scale online experiment with more than 8,000 U.S. respondents, we examine how the demand for a politics newsletter changes when the newsletter content is fact-checked. We first document an overall muted demand for factchecking when the newsletter features stories from an ideologically aligned source, even though fact-checking increases the perceived accuracy of the newsletter. The average impact of fact-checking masks substantial heterogeneity by ideology: factchecking reduces demand among respondents with strong ideological views and increases demand among ideologically moderate respondents. Furthermore, factchecking increases demand among all respondents when the newsletter features stories from an ideologically non-aligned source.

Sascha O. Becker, Francisco J. Pino & Jordi Vidal-Robert

The Protestant Reformation in the early 16th century challenged the monopoly of the Catholic Church. The printing press helped the new movement spread its ideas well beyond the cradle of the Reformation in Luther’s city of Wittenberg. The Catholic Church reacted by issuing indexes of forbidden books which blacklisted not only Protestant authors but all authors whose ideas were considered to be in conflict with Catholic doctrine. We use newly digitized data on the universe of books censored by the Catholic Church during the Counter-Reformation, containing information on titles, authors, printers and printing locations. We classify censored books by topic (religion, sciences, social sciences and arts) and language and record when and where books were indexed. Our results show that Catholic censorship did reduce printing of forbidden authors, as intended, but also negatively impacted on the diffusion of knowledge, and city growth.

Marta Santamaría, Jaume Ventura and Uğur Yeşilbayraktar

Are country borders still an impediment to trade flows within Europe? Using a microlevel survey with 3 million annual shipments of goods, we construct a matrix of bilateral trade for 269 European regions. Take two similar region pairs, one containing regions in different countries and the other containing regions in the same country. The market share of the origin region in the destination region for the international pair is 17.5 percent that of the intranational pair. Across industries, this estimate ranges from 12.3 to 38.9 percent. For post-1910 borders, this estimate is 28.8 percent. The implication is clear: Europe is far from having a single market.

Thushyanthan Baskaran, Sonia Bhalotra, Brian Min & Yogesh Uppal

There has been a phenomenal global increase in the proportion of women in politics in the last two decades, but there is no evidence of how this influences economic performance. We investigate this using data on competitive elections to India’s state assemblies, leveraging close elections to isolate causal effects. We find significantly higher growth in economic activity in constituencies that elect women and no evidence of negative spillovers to neighbouring male-led constituencies, consistent with net growth. Probing mechanisms, we find evidence consistent with women legislators being more efficacious, less corrupt and less vulnerable to political opportunism.

Sonia Bhalotra, Damian Clarke, Joseph F. Gomes & Atheendar Venkataramani

Millions of women continue to die during and soon after childbirth, even where the knowledge and resources to avoid this are available. We posit that raising the share of women in parliament can trigger action. Leveraging the timing of gender quota legislation across developing countries, we identify sharp sustained reductions of 8–10 percent in maternal mortality. Investigating mechanisms, we find that gender quotas lead to increases in percentage points of 5–8 in skilled birth attendance and 4–8 in prenatal care utilization, alongside a decline in fertility of 6–7 percent and an increase in the schooling of young women of about 0.5 years. The results are robust to numerous robustness checks. They suggest a new policy tool for tackling maternal mortality.

Ludovica Gazze, Claudia Persico & Sandra Spirovska

Children exposed to pollutants like lead are more disruptive and have lower achievement. However, little is known about whether lead-exposed children affect the long-run outcomes of their peers. We estimate these spillover effects using new 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. Peer effects are larger for same-gendered students.

Ao Wang

Applied researchers most often estimate the demand for differentiated products assuming that at most one item can be purchased. Yet simultaneous multiple purchases are pervasive. Ignoring the interdependence among multiple purchases can lead to erroneous counterfactuals, in particular, because complementarities are ruled out. I consider the identification and estimation of a random coefficient discrete choice model of bundles, namely sets of products, when only product-level market shares are available. This last feature arises when only aggregate purchases of products, as opposed to individual purchases of bundles, are available, a very common phenomenon in practice. Following the classical approach with aggregate data, I consider a two-step method. First, using a novel inversion result in which demand can exhibit Hicksian complementarity, I recover the mean utilities of products from product-level market shares. Second, to infer the structural parameters from the mean utilities while dealing with price endogeneity, I use instrumental variables. I propose a practically useful GMM estimator whose implementation is straightforward, essentially as a standard BLP estimator. Finally, I estimate the demand for Ready-To-Eat (RTE) cereals and milk in the US. The demand estimates suggest that RTE cereals and milk are overall complementary and the synergy in consumption crucially depends on their characteristics. Ignoring such complementarities results in misleading counterfactuals.

Sonia Bhalotra, Irma Clots-Figueras, Lakshmi Iyer & Joseph Vecci

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 upon citizen reactions to leader identity, controlling for leader actions. We find that minority leaders improve coordination, while 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 upon citizen reactions, conditioned by social identity and past conflict.

James Fenske, Namrata Kala & Jinlin Wei

Using a new dataset on city populations in colonial India, we show that the railroad network increased city size in the period 1881 to 1931. Our baseline estimation approach includes fixed effects for city and year, and we construct instrumental variables for railroad proximity based on distance from a least cost path spanning cities that existed prior to the start of railroad construction. Cities that increased market access due to the railroad grew, particularly those cities that were initially small and isolated.

Silvia Miranda-Agrippino & Giovanni Ricco

We propose a Bayesian approach to Local Projections that optimally addresses the empirical bias-variance tradeoff inherent in the choice between VARs and LPs. Bayesian Local Projections (BLP) regularise the LP regression models by using informative priors, thus estimating impulse response functions potentially better able to capture the properties of the data as compared to iterative VARs. In doing so, BLP preserve the flexibility of LPs to empirical model misspecifications while retaining a degree of estimation uncertainty comparable to a Bayesian VAR with standard macroeconomic priors. As a regularised direct forecast, this framework is also a valuable alternative to BVARs for multivariate out-of-sample projections.

Greg Howard & Arianna Ornaghi

How do different local policies in a federal system affect local land values, production, and sorting? We study the question exploiting a large historical policy change : U.S. Alcohol Prohibition in the early twentieth century. Comparing same-state early and late adopters of county dry laws in a difference-in-differences design, we find that early Prohibition adoption increased population and farm real estate values. Moreover, we find strong effects on farm productivity consistent with increased investment due to a land price channel. In equilibrium, the policy change disproportionately attracted immigrants and African-Americans.

S Anukriti, Sonia Bhalotra & Eddy H. F. Tam

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-5 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.

Sonia Bhalotra, Martin Karlsson, Therese Nilsson & Nina Schwarz

We identify earnings impacts of exposure to an infant health intervention in Sweden, using individual linked administrative data to trace potential mechanisms. Leveraging quasi-random variation in eligibility, we estimate that exposure was associated with higher test scores in primary school for boys and girls. However only girls were more likely to score in the top quintile. Subsequent gains, in secondary schooling, employment, and earnings, are restricted to girls. We show that the differential gains for women accrued from both skills and opportunities, expansion of the welfare state having created unprecedented employment opportunities for women.

Livia Paranhos

This paper applies neural network models to forecast inflation. The use of a particular recurrent neural network, the long-short term memory model, or LSTM, that summarizes macroeconomic information into common components is a major contribution of the paper. Results from an exercise with US data indicate that the estimated neural nets usually present better forecasting performance than standard benchmarks, especially at long horizons. The LSTM in particular is found to outperform the traditional feed-forward network at long horizons, suggesting an advantage of the recurrent model in capturing the long-term trend of inflation. This finding can be rationalized by the so called long memory of the LSTM that incorporates relatively old information in the forecast as long as accuracy is improved, while economizing in the number of estimated parameters. Interestingly, the neural nets containing macroeconomic information capture well the features of inflation during and after the Great Recession, possibly indicating a role for nonlinearities and macro information in this episode. The estimated common components used in the forecast seem able to capture the business cycle dynamics, as well as information on prices.

Enrico Cantoni, Ludovica Gazzè, and Jerome Schafer

We study the effects of different types of concurrent elections using individual-level administrative and survey data from Italy. Exploiting different voting ages for the two Houses of Parliament in a voter-level Regression Discontinuity Design, we find no effect of Senate voting eligibility on voter turnout or information acquisition. We also estimate city-level Differences-in-Differences showing that concurrent high-salience municipal elections increase turnout in lower-salience provincial and European elections, but not vice-versa. These concurrency effects are concentrated in municipalities in the South of Italy, possibly due to weaker political parties and lower levels of social capital.

Peter Andre, Carlo Pizzinelli, Christopher Roth & Johannes Wohlfart

Using a sample of 2,200 households representative of the US population and a sample of more than 1,000 experts, we measure beliefs about how aggregate unemployment and inflation respond to different macroeconomic shocks. Expert predictions are quantitatively close to standard DSGE models and VAR evidence. While households' beliefs are directionally aligned with those of experts in the case of oil supply shocks and government spending shocks, they predict an opposite reaction of inflation to monetary policy and income tax shocks. A substantial fraction of deviations of household predictions can be explained by the use of a simple affective heuristic

Sebastian Link, Andreas Peichl, Christopher Roth & Johannes Wohlfart

We leverage survey data from Germany, Italy, and the US to document several novel stylized facts about the extent of information frictions among firms and households. First, firms’ expectations about the central bank policy rate, inflation, and aggregate unemployment are more aligned with expert forecasts and less dispersed than households’ . Second, there is substantially more heterogeneity in information frictions within households than within firms. Third, consistent with firms having stronger priors, they update their policy rate expectations significantly less compared to households when provided with an expert forecast. Our results have important implications for modelling heterogeneity in macroeconomic models.

Leonardo Bursztyn, Ingar Haaland, Aakaash Rao & Chris Roth

We study how popular rationales enable public anti-minority actions. Rationales to oppose minorities genuinely persuade some people. But they also provide “excuses” that may reduce the stigma associated with anti-minority expression, thereby increasing anti-minority behavior. In a first experiment, participants learn that a previous respondent authorized a donation to an anti-immigrant organization and then make an inference about the respondent’s underlying motivations. Participants informed that their matched respondent learned about a study claiming that immigrants increase crime rates before authorizing the donation see the respondent as less intolerant. In a second experiment, participants learn about that same study and then choose whether to authorize a public donation to the anti-immigrant organization. Participants informed that their exposure to the rationale will be publicly observable are substantially more likely to make the donation than participants who are informed that their exposure will remain private. A final experiment shows that people are more willing to post anti-immigrant content on social media when they can use an anti-immigrant video clip from Fox News as an excuse. Our findings suggest that prominent public figures can lower the social cost of intolerant expression by popularizing rationales, increasing anti-minority expression.

Ingar Haaland & Chris Roth

This paper provides representative evidence on beliefs about racial discrimination and examines whether information causally affects support for pro-black policies. Eliciting quantitative beliefs about the extent of hiring discrimination against blacks, we uncover large disagreement about the extent of racial discrimination with particularly pronounced partisan differences. An information treatment leads to a convergence in beliefs about racial discrimination but does not lead to a similar convergence in support of pro-black policies. The results demonstrate that while providing information can substantially reduce disagreement about the extent of racial discrimination, it is not sufficient to reduce disagreement about pro-black policies.

Francis Bloch, Kalyan Chatterjee and Bhaskar Dutta

This paper studies a game of attack and interception in a network, where a single attacker chooses a target and a path, and each node chooses a level of protection. We show that the Nash equilibrium of the game exists and is unique. It involves a mixed strategy of the attacker except when one target has a very high value relative to others. We characterize equilibrium attack paths and attack distributions as a function of the underlying network and target values. We also show that adding a link or increasing the value of a target may harm the attacker - a comparative statics effect which is reminiscent of Braess's paradox in transportation economics. Finally, we contrast the Nash equilibrium with the equilibria of two variations of the model : one where nodes make sequential protection decisions upon observing the arrival of a suspicious object, and one where all nodes cooperate in defense.

Veronika Czellar, David T. Frazier and Eric Renault

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.

David T. Frazier, Eric Renault, Lina Zhang & Xueyan Zhao

We study the impact of weak identification in discrete choice models, and provide insights into the determinants of identification strength in these models. Using these insights, we propose a novel test that can consistently detect weak identification in commonly applied discrete choice models, such as probit, logit, and many of their extensions. Furthermore, we demonstrate that when the null hypothesis of weak identification is rejected, Wald-based inference can be carried out using standard formulas and critical values. A Monte Carlo study compares our proposed testing approach against commonly applied weak identification tests. The results simultaneously demonstrate the good performance of our approach and the fundamental failure of using conventional weak identification tests for linear models in the discrete choice model context. Furthermore, we compare our approach against those commonly applied in the literature in two empirical examples: married women labor force participation, and US food aid and civil conflicts.

Stefano Caria, Grant Gordon, Maximilian Kasy, Simon Quinn, Soha Shami & Alexander Teytelboym

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 four months, cash has a sizable effect on employment and earnings of Syrians.

Arun Advani, Andy Summers & Hannah Tarrant

We compare two approaches to measuring UK top income shares - the share of income going to particular subgroups, such as the top 1%. We set out four criteria that an ideal top share series should satisfy: (i) comparability between numerator and denominator ; (ii) comparability over time ; (iii) international comparability; and (iv) practical sustainability. Our preferred approach meets three of these; by contrast the approach currently used to produce UK fiscal income series meets none of them. Changing to our preferred approach matters quantitatively : the share of income going to the top 1% is 2 percentage points higher, but rising more slowly, than under the alternative.

Subhasish Dey & Tanisha Ghosal

This paper studies the impact of a conditional cash transfer program called Kanyashree Prakalpa (KP) in the Indian state of West Bengal that aimed to improve the status and well-being of girls by reducing incidence of child marriage and increasing the secondary or higher education of girls till at least 18 years of age. Using the data from multiple rounds of National Family Health Survey (NFHS), difference-in-differences and triple-difference are employed considering the younger cohort (exposed to the program) as the treated group, the older cohort (not exposed to the program) as the control group, and the neighbouring state of Jharkhand as a comparison state. The analysis suggests that the KP program has reduced the probability of child marriage by 6.7 percent and increased the probability of secondary or higher educational attainment by 6 percent. The study contributes to the scarce literature of the significant long-term impact of the KP program towards women’s well-being and empowerment.

Monica Martinez-Bravo & Andreas Stegmann

In July 2011, the Pakistani public learnt that the 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 12 to 20% per standard deviation in support for Islamist parties. These results suggest that information discrediting vaccination campaigns can negatively affect trust in health services and demand for immunization

Christopher Roth, Sonja Settele & Johannes Wohlfart

We conduct an experiment with a representative sample from the US to study households’ demand for macroeconomic information. Respondents who learn of a higher personal exposure to unemployment risk during recessions increase their demand for an expert forecast about the likelihood of a recession. This finding is consistent with macroeconomic models of endogenous information acquisition, according to which the demand for information depends on its expected benefits. Moreover, respondents’ updating about their personal unemployment risk suggests that households are imperfectly informed about their exposure to aggregate fluctuations, which may distort their beliefs about the benefits of acquiring macroeconomic information.

Sascha O Becker, Volker Lindenthal, Sharun Mukand & Fabian Waldinger

We study the role of professional networks in facilitating emigration of Jewish academics dismissed from their jobs by the Nazi government. We use individual-level exogenous variation in the timing of dismissals to estimate the causal effect of networks. Academics with more ties to early émigrés (emigrated 1933-1934) were more likely to emigrate. Early émigrés functioned as “bridging nodes” that facilitated emigration to their own destination. We also distinguish between three kinds of social networks – family, community, or professional networks and study their relative importance. Lastly, we provide some of the first empirical evidence of decay in social ties over time.

Dan Bernhardt, Kostas Koufopoulos and Giulio Trigilia

Classical security design papers equate competitive capital markets to securities being fairly priced in expectation. We revisit Nachman and Noe (1994)'s adverse selection setting, modeling capital-market competition as free entry of investors, and allowing firms to propose prices of securities, as happens in private securities placements and bank lending. We show that separating equilibria exist in which high types issue under-priced debt, while low types issue more informationally-sensitive securities (e.g., equity). We also uncover pooling equilibria in which firms issue under-priced debt. These results provide foundations for the pecking-order theory of external finance, and positive profits for uninformed lenders.

Dan Bernhardt, Kostas Koufopoulos and Giulio Trigilia

We provide theoretical foundations for positive lender profits in competitive credit markets with asymmetric information, where potential borrowers have scarce collateralizable assets. Strikingly, when some borrowers have negative net present value projects, an equilibrium always exists in which lenders make positive profits, despite their lack of `soft' information and free entry of competitors. We then establish that greater access to collateral for borrowers reduces lender profits, and we relate our findings to the empirical evidence on micro-credit, payday lending, and, more broadly, retail and small business financing.

Dan Bernhardt , Kostas Koufopoulos and Giulio Trigilia

We show that when borrowers are privately informed about their creditworthiness and lenders have a soft budget constraint, efficient investment requires a limit on the fraction of a firm's cash flows that can be pledged to outsiders. That is, pledgeability should neither be too low nor too high. An increase in pledgeability, or, more broadly, creditor rights, can either promote re-investment in zombie firms, which increases other firms' cost of capital, or it can lead to insufficient underinvestment, depending on the composition of equilibrium credit demand. Thus, greater pledgeability can reduce net social surplus, and even trigger a Pareto loss.

Emmanouil Benetos, Alessandro Ragano, Daniel Sgroi & Anthony Tuckwell

We propose a new measure for national happiness based on the emotional content of a country’s most popular songs. Using machine learning to detect the valence of the UK’s chart-topping song of each year since the 1970s, we find that it reliably predicts the leading survey-based measure of life satisfaction. Moreover, we find that music valence is better able to predict life satisfaction than a recently-proposed measure of happiness based on the valence of words in books (Hills et al., 2019). Our results have implications for the role of music in society, and at the same time validate a new use of music as a measure of public sentiment.

Carlo Perroni, Kimberley Scharf, Oleksandr Talavera & Linh Vi

We explore the link between online attention and charitable donations. Using a unique dataset on phone text donations that includes detailed information on the timing of cash gifts to charities, we link donations to time variation online searches for words that appear in those charities’ mission statements. The results suggest that an increase in the online salience to donors of the activities pursued by different charities affects the number and volume of donations made to those charities and to charities that pursue different goals. We uncover evidence of positive own salience effects and negative cross salience effects on donations.

Marcus Miller

Could experiencing a health pandemic aid in understanding the nature of financial crisis? It might, for example, help to discriminate between different narratives that claim to do so. In this spirit, two influential accounts of the near-collapse of shadow banking in the US financial crisis of 2008 are analysed: one developed by Mark Gertler and Nobuhiro Kiyotaki and the other presented by the Financial Crisis Inquiry Commission of the US Congress. Using a common two-sector framework, key features of these contrasting accounts of the market for banking services are presented, along with their corresponding diagnoses of what precipitated financial crisis. To see what the experience of Covid might imply about their relative credibility, four aspects of the current pandemic are considered: how it began from a small biological shock; how it gets spread by contagion; the significance of externalities; and how it may end with a vaccine. But the reader is left to form his or her own judgement

Qianxue Zhang

Global supply chains have become increasingly important in international trade over the past decade. Nevertheless, it remains di cult to quantify the role of supply-chain trade in transmitting and amplifying shocks, given the challenge of identifying and tracing the exogenous shocks across economies. This paper argues that the lockdown of Hubei province in China due to the Coronavirus (COVID-19) outbreak provides a natural experiment to study the importance of China's role in global value chains. Since the lockdown started during the Lunar New Year, Hubei's migrant workers who went home could not return to workplaces in other provinces, resulting in a massive labor supply shock. I feed the supply shock through a Ricardian model with intermediate goods and sectoral linkages to study trade and welfare effects across several economies. While welfare in China is the most strongly affected, the shock also has sizeable implications for the US and the UK. However, close neighbours such as South Korea and Japan gain from the shock. There are large variations regarding the sectoral contributions to the aggregate welfare changes. The model also performs well in predicting bilateral export changes.

Sascha O. Becker & Cheongyeon Won

In the mid 19th century, pre-colonial Korea under the Joseon dynasty was increasingly isolated and lagging behind in its economic development. Joseon Korea was forced to sign unequal treaties with foreign powers as a result of which Christian missionaries entered the country and contributed to the establishment of private schools. We show that areas with a larger presence of Christians have higher literacy rates in 1930, during the Japanese colonial period. We also show that a higher number of Protestants is associated with higher female literacy, consistent with a stronger emphasis on female education in Protestant denominations.

Arun Advani

We use administrative tax data from audits of self-assessment tax returns to understand what types individuals are most likely to be non-compliant. Non-compliance is common, with one-third of taxpayers underpaying by some amount, although half of aggregate under-reporting is done by just 2% of taxpayers. Third party reporting reduces non-compliance, while working in a cash-prevalent industry increases it. However, compliance also varies significantly with individual characteristics: non-compliance is higher for men and younger people. These results matter for measuring inequality, for understanding taxpayer behaviour, and for targeting audit resources.

Latika Chaudhary & James Fenske

We study the effect of railroads, the single largest public investment in colonial India, on human capital. Using district-level data on literacy, we find railroads had positive effects on literacy, in particular on male and English literacy. We employ two identification strategies. First, we exploit synthetic panel variation contained in cohort-specific literacy rates due to differences in the timing of railroad exposure of different cohorts within the same district and census year. We find a one standard deviation increase in railroad exposure raises literacy by 0.29 standard deviations. Second, we use distance from an early railway plan as an instrument for district railway exposure in the cross section and find results of similar magnitude. We show that railroads increased literacy by raising secondary, rather than primary, schooling. Our mediation analysis suggests that non-agricultural income and opportunities for skilled employment are important mechanisms, while agricultural income is not.

Mark Dincecco, James Fenske & Anil Menon

Difference in difference and event study analyses in a panel of Asian grid cells over nine centuries demonstrate that greater agricultural potential due to New World crops increased violent conflict after 1500. Rising caloric potential in a typical grid cell increased conflict by roughly its mean. The result holds across several New World crops and conflict types. It is largely driven by South Asia, a densely populated, diverse region with several competing historical states. The evidence supports a rapacity effect – increases in the gains from appropriation to Asian and non-Asian belligerents – as a mechanism. Population density, urbanization, and British imperialism significantly mediate the impact of the Columbian Exchange.