顶刊论文流

Abstract This paper examines the global adoption of technology in the late nineteenth century. We construct several novel datasets to test the idea that the codification of technical knowledge in the vernacular was necessary for countries to absorb the technologies of the First Industrial Revolution. We find that comparative advantage shifted to industries that could benefit from these technologies in countries and colonies with access to codified technical knowledge, but not in other regions. Using the rapid and unprecedented codification of technical knowledge in Meiji Japan as a natural experiment, we show that this pattern emerged only after the Japanese government codified vast amounts of technical knowledge. Our findings shed new light on the frictions associated with technological diffusion and offer a novel explanation for why Meiji Japan was unique among non-Western countries in successfully industrializing during the first wave of globalization.

We explore how traders’ equity capitalization influences asset prices in a framework that accounts for market power. In our model, traders with capital constraints engage in transactions in an imperfectly competitive market. We demonstrate that looser capital constraints elevate both asset prices and price impact, the latter diminishing market liquidity. Using Canadian Treasury auction data, we illustrate how to apply our model to quantify these effects. We estimate the shadow costs of capital constraints by leveraging a temporary policy exemption during 2020–2021. We show that while these constraints are only infrequently binding, their relative impact when activated can be sizable. (JEL E63, G12, G14, G23, G41, L13)

We provide a model to explain how the interaction between the spot and lending markets for stocks can lead to abrupt changes in short selling activity. Furthermore, rational short sellers may choose to abandon the market even as mispricing widens. We document empirically that the dynamics of short selling are fat tailed and subject to abrupt changes, especially for the stocks that the model identifies as susceptible to such dynamics. (JEL G11, G12, G14, G41)

The validity of instrumental variable (IV) designs is typically tested using two types of falsification tests. We characterize these tests as conditional independence tests between negative control variables—proxies for unobserved variables posing a threat to the identification—and the IV or the outcome. We describe the conditions variables must satisfy in order to serve as negative controls. We show these falsification tests examine not only independence and the exclusion restriction but also functional form assumptions. Our analysis reveals conventional applications of these tests may flag problems even in valid IV designs. We offer implementation guidance to address these issues. (JEL C12, C18, C26, C52)

Digitization reforms have been hailed as an effective way of strengthening state capacity. However, digitization can also fundamentally reshape the organization of bureaucracies. Using a unique administrative dataset on agricultural taxation and surveys of local bureaucrats from Punjab, Pakistan, we show that digitization reforms can have unintended consequences for state capacity. We exploit the staggered rollout of the digitization of land records in Punjab to show that digitization had a negative effect on tax collection. The fall in taxes was not due to a decrease in the tax base. Instead, digitization affected the bureaucrats’ capacity to collect taxes. (JEL D73, H11, H71, O12, O17)

We study a canonical collective action game with incomplete information. Individuals attempt to coordinate to achieve a shared goal, while also facing a temptation to free-ride. More similar information can help them coordinate, but it can also exacerbate free-riding. Our main result shows that more similar information facilitates (impedes) achieving the common goal when it is sufficiently challenging (easy). We apply this insight to show why less powerful authoritarian governments may face larger protests if they restrict press freedom, when committee diversity is beneficial in costly voting, and when a more diverse community contributes more to public good provision. (JEL C71, D71, D72, D81, D82, D83, H41)

Why do health facilities in developing countries do so poorly? This paper examines the role of financial constraints. I describe an experiment in which we surprised health workers in randomly selected public health clinics in Nigeria with a ₦600,000 grant paid out in installments over one year. Its administration was left entirely to health workers. The award led to large productivity gains. Using expenditure data combined with novel textual data, I provide an explanation for these effects. I show the award increased investments in physical and human capital, led to lower prices for patients, and inspired health workers to do better. (JEL D24, G31, H75, I11, J24, J31, O15)

We study how international migrant income prospects affect long-run development in origin areas. We leverage the 1997 Asian Financial Crisis exchange rate shocks in a shift-share identification strategy across Philippine provinces. Initial migrant income shocks are magnified six-fold over time, increasing domestic income, education levels, migrant skills, and high-skilled migration. Remarkably, 74.9 percent of long-run income gains come from domestic rather than migrant income. Trade driven impacts of exchange rate shocks are orthogonal to effects via migrant income. A structural model reveals that 19.7 percent of long-run income gains stem from educational investments. International migration fosters broad economic development in origin communities. (JEL F22, F31, G01, J24, J82, O15, O16)

We develop a simple multilayer network model in which agents allocate effort across layers with heterogeneous structures, subject to an aggregate effort constraint. Incentives are shaped by agents’ network positions within each layer, and equilibrium behavior reflects both within- and cross-layer interactions. We analyze how shocks propagate through the network and characterize optimal targeting interventions. Our results show that effective policy design must account for effort allocation across layers. We also demonstrate that predictions from monolayer models can diverge sharply from those of multilayer models, underscoring the importance of accounting for network complexity in both empirical and policy analyses. (JEL C70, D78, D82, D85, H41, Z13)

This paper studies which misspecified models are likely to persist when decision-makers compare them with competing models. The main result characterizes such models based on two features that can be derived from primitives: The model’s asymptotic accuracy in predicting the equilibrium distribution of observed outcomes and the “tightness” of the prior around such equilibria. Misspecified models can be robust, persisting against any arbitrary competing model—including the true model—despite decision-makers observing an infinite amount of data. Moreover, simple misspecified models equipped with entrenched priors can be more robust than complex correctly specified models. (JEL C11, C52, D11, L82)

We embed diagnostic expectations in a workhorse neoclassical model with heterogeneous firms and risky debt. A realistic degree of overreaction estimated from US firms’ earnings forecasts generates realistic credit cycles. Good times produce economic and financial fragility, predicting future disappointment of expectations, low bond returns, and investment declines. To generate the size of spread increases observed during 2007–2009, the model requires only moderate negative shocks. Diagnostic expectations offer a realistic, parsimonious way to produce financial reversals in business cycle models. (JEL D84, E13, E22, E32, E44, G12, G32)

Abstract We argue that the Democratic Party’s evolution on economic policy helps explain partisan realignment by education. First, we document that educated Americans differentially oppose “predistribution” (e.g., job guarantees, higher minimum wages, protectionism, and stronger unions), while the educational gradient for redistribution (taxes and transfers) is close to zero. These relationships have been largely unchanged since the 1940s. Second, focusing on politicians and donors as key party actors, we show that the Democratic Party has moved away from predistribution since the 1970s. The number of predistribution bills introduced by Democratic House Speakers has declined by half since the 1970s. Unions—the traditional lobbying force for predistribution—see their share of Democratic Party PAC donations decline from ninety to forty percent from 1968 to 1980, following 1970s legislation that facilitated corporate PAC donations. From 1980 onward, the Democrats rely increasingly on individual contributions from educated donors relative to the Republicans. We show the increased reliance on corporate PACs and educated donors is driven by the rise of a self-described “New Democrat’ faction particularly conservative on pre-distribution and social issues. Finally, we trace out the reaction of voters to these changes in the Democratic Party. Less-educated Americans begin to leave the party in the 1970s, after decades of serving as its base. We also show that in the crucial transition period of the 1970s through 1990s, New Democrat candidates out-perform other Democrats among more-educated voters in both survey questions and actual Congressional elections. As the New Democrats are more socially conservative than other Democrats, their success with educated voters suggests that social issues alone cannot explain educational realignment.

Abstract Do men negatively respond when women first enter an occupation? We answer this question by studying the end of one of the final explicit occupational barriers to women in the U.S.: in 2016, the U.S. military opened all positions to women, including historically male-only combat occupations. We exploit the staggered integration of women into combat units to estimate the causal effects of the introduction of female colleagues on men’s job performance, behavior, and perceptions of workplace quality, using monthly administrative personnel records and rich survey responses. We find that integrating women into previously all-male units does not negatively affect men’s performance or behavioral outcomes, including retention, promotions, demotions, separations for misconduct, criminal investigations, and medical conditions. Most of our results are precise enough to rule out small detrimental effects. However, there is a wedge between men’s perceptions and performance. The integration of women causes a negative shift in male soldiers’ perceptions of workplace quality. The decline is driven by units integrated with female officers, likely arising from female officers increasing men’s awareness of workplace problems or from men’s dissatisfaction from working with women in positions of authority—even though men in such units show some performance gains. If male-dominated workplaces are reluctant to incorporate women due to expectations that men will become less productive, our paper provides evidence to weigh against that notion.

Abstract We study technology sophistication using a novel approach that measures the sophistication of the most advanced (MAX) and the most widely used (MOST) technologies in each of the key business functions within establishments. Using data from over 21,000 establishments across 15 countries, we find that establishments generally underutilize the most sophisticated technologies available within a business function. These MAX-MOST gaps are persistent and strongly associated with productivity both across establishments and countries. At the establishment level, there is substantial variation in both MAX and MOST, with MOST showing a more skewed distribution. MAX and MOST follow different lifecycle patterns in low-income countries and among small establishments, and they exhibit different associations with several establishment characteristics and performance indicators. This evidence underscores the different nature of the technology upgrading processes that drive MAX and MOST.

Abstract Why do managers matter for firm performance? This paper provides evidence of the critical role of managers in matching workers to jobs within the firm using the universe of personnel records from a large multinational firm. The data covers 200,000 white-collar workers and 30,000 managers over 11 years in 100 countries. I identify good managers by their speed of promotion and leverage exogenous variation induced by the rotation of managers across teams. I find that good managers cause workers to reallocate within the firm through lateral and vertical transfers and generate large and persistent gains in workers’ career progression and productivity. My results imply that the visible hands of managers match workers’ specific skills to specialized jobs, leading to an improvement in the productivity of existing workers that outlasts the managers’ time at the firm.

Abstract Women continue to be underrepresented in corporate leadership positions. This article studies the role of social connections in women’s career advancement. We investigate whether access to a larger share of female peers in business school affects the gender gap in senior managerial positions. Merging administrative data from a top 10 U.S. business school with public LinkedIn profiles, we first document that female MBAs are 24% less likely than male MBAs to enter senior management within 15 years of graduation. Next we use the exogenous assignment of students into sections to show that a larger proportion of female MBA section peers increases the likelihood of entering senior management for women but not for men. This effect is driven by female-friendly firms, such as those with more generous maternity leave policies and greater work-schedule flexibility. A larger proportion of female MBA peers induces women to transition to these firms where they attain senior management roles. A survey of female MBA alumnae reveals three key mechanisms: (i) information sharing, especially related to gender-specific advice, (ii) higher ambitions and self-confidence, and (iii) increasing support from male MBA peers. These findings highlight the role of social connections in reducing the gender gap in senior management positions.

We revisit the role of temporary layoffs in the business cycle. While some have emphasized a stabilizing effect due to recall hiring, we quantify from the data an important countercyclical destabilizing effect due to “loss-of-recall,” whereby workers in temporary-layoff unemployment lose their job permanently. We develop a quantitative model allowing for endogenous flows of workers across employment and both temporary-layoff and jobless unemployment. The model captures both pre- and post-pandemic unemployment dynamics, including the contractionary role of loss-of-recall. We use our structural model to show that the Paycheck Protection Program generated sizable employment gains, in part by significantly reducing loss-of-recall. (JEL E24, E32, I12, J41, J63, J64)

Equal pay laws increasingly require that workers with different group identities doing “similar” work are paid equal wages within firm. We study such “equal pay for similar work” (EPSW) policies theoretically and test our models’ predictions empirically using evidence from a 2009 gender-based Chilean EPSW. Under EPSW, firms segregate their workforce by gender. When there are more men than women in a labor market, EPSW increases the gender wage gap. (JEL J16, J31, J38, K31, O15)

We propose a novel identification strategy to isolate exogenous immigration shocks across US counties, by interacting quasi-random variations in the composition of ancestry across counties with the contemporaneous inflow of migrants from different countries. We show a positive causal impact of immigration on local innovation and wages at the five-year horizon. The positive dynamic impact of immigration on innovation and wages dominates the short-run negative impact of increased labor supply. A structural estimation of a model of endogenous growth and migrations suggests the increased immigration to the United States since 1965 may have increased innovation and wages by 5 percent. (JEL J15, J22, J31, J61, O31, R11, R23)

We consider an economy in which long-lived experts are matched with short-lived clients. Experts choose the type of client with whom they match, unobserved by the market. The interaction outcome depends on both the expert’s and the client’s type. We study the effects of supplying information about otherwise unobservable outcomes, such as “medical report cards,” to help clients identify better experts. Such information can lead to inefficient matches, as experts reject risky clients to build their reputation. Hence, information can reduce welfare. Withholding information can mitigate these perverse incentives at the cost of misallocating experts known to be inept. (JEL C78, D82, D83)

Over 2 billion people lack clean drinking water. Existing solutions face high costs (piped water) or low demand (point-of-use chlorine). Using a 60,000 household cluster-randomized experiment, we test an alternative approach: decentralized treatment and home delivery of clean water to the rural poor. At low prices, take-up exceeds 90 percent, sustained throughout the experiment. High prices reduce take-up but are privately profitable. We experimentally recover revealed-preference measures of valuation. Willingness-to-pay is several times higher than prior indirect estimates; willingness-to-accept is larger and exceeds marginal cost. Self-reported health measures improve accordingly. On a cost-per-DALY basis, free water delivery regimes appear highly cost effective. (JEL I12, O12, O13, O18, Q25, Q51, Q53)

We investigate the origins and implications of zero-sum thinking: the belief that gains for one individual or group tend to come at the cost of others. Using a new survey of 20,400 US residents, we measure zero-sum thinking, political preferences, policy views, and a rich array of ancestral information spanning four generations. We find that a more zero-sum mindset is strongly associated with more support for government redistribution, race- and gender-based affirmative action, and more restrictive immigration policies. Zero-sum thinking can be traced back to the experiences of both the individual and their ancestors, encompassing factors such as the degree of intergenerational upward mobility they experienced, whether they immigrated to the United States or lived in a location with more immigrants, and whether they were enslaved or lived in a location with more enslavement. (JEL C83, D72, D91, H23, J15, J16, Z13)

We propose an extensive-form solution concept, with players who neglect information from hypothetical events but make inferences from observed events. Our concept modifies cursed equilibrium (Eyster and Rabin 2005) and allows that players can be cursed about endogenous information. (JEL C73, D44, D71, D81, D83, D91)

Each month, a fraction of UK property leases are extended by 90 years or more. We construct a new dataset using thousands of these natural experiments since 2000 and estimate the expected long-term housing yield, y * . After remaining steady at around 5 percent, y * starts to decline when the Great Recession hits and reaches a low of 2.7 percent in 2024. The decline is steeper in inelastic markets, while y * remains higher in regions more exposed to long-run climate risk. Our estimate of y * is updated in real time using public data. (JEL E32, G12, Q54, R31, R38)

Abstract This article shows that a CEO’s trust enhances innovation within a firm, providing a novel micro-foundation for the well-known trust-growth relationship. I build a new matched CEO-firm-patent data set covering 5,753 CEOs in 3,598 U.S. public firms and 700,000 patents during 2000–2011. I exploit variation in generalized trust across CEO ethnic origins, inferred from their last names using deanonymized historical censuses. Following CEO turnovers, a one standard deviation increase in a CEO’s generalized trust is associated with 6% more future patents and 4%–6% higher average patent quality, driven entirely by higher-quality patents. Text analysis of employee reviews shows that the CEO’s trust enhances a firm’s trust culture. These results are consistent with insights from qualitative interviews suggesting that the CEO's trust and the firm’s trust culture encourage researchers to undertake high-risk explorative research and development. In addition, changes in the CEO’s bilateral trust toward inventors in different countries have comparable effects on inventors’ patenting, controlling for CEO and other fixed effects.

Abstract Empirical studies find that the pass-through of input cost changes to prices is incomplete: a 10% increase in costs causes downstream prices to rise less than 10%, even at long horizons. Using microdata from gas stations, food products, and manufacturing industries, I find that incomplete pass-through in percentages often disguises complete pass-through in levels: a $1/unit increase in input costs leads to $1/unit higher downstream prices. Pass-through appears incomplete in percentages due to a gap between prices and costs. Complete pass-through in levels contrasts with workhorse macroeconomic models that feature homothetic industry demand systems. I identify an alternative class of demand systems that yields pass-through in levels and highlight four implications. First, measuring pass-through in percentages can lead to spurious evidence of asymmetry and size dependence. Second, pass-through in levels leads to systematic fluctuations in relative price and markup dispersion that are not associated with changes in allocative efficiency. Third, pass-through in levels can explain dynamics of industry gross margins, operating profits, and entry in the data that are at odds with workhorse models. Finally, incorporating pass-through in levels into an input-output model of the U.S. economy better matches the volatility of consumer price inflation and the response of inflation to identified shocks.

Abstract This article develops a New Keynesian model with sovereign default risk. Inflation is set by forward-looking firms, monetary policy is an interest rate rule, and the fiscal government borrows externally, long-term, with an option to default. In this framework, default risk creates inflation pressures through an expectations channel, and tight monetary policy disincentivizes fiscal overborrowing. The model sheds light on temporary inflation events in emerging-market data: short-lived spikes in inflation, spreads, and domestic policy rates. As spreads rise, firms increase their prices in expectation of higher future inflation and low consumption during default. Monetary policy tightens, which reduces inflation and helps bring spreads down by disciplining government borrowing. These monetary-fiscal interactions imply that delivering the flexible-prices allocation may not be optimal for monetary policy.

Abstract This article estimates that the macroeconomic damages from climate change are an order of magnitude larger than previously thought. Exploiting natural global temperature variability, we find that 1ºC warming reduces world GDP by over 20% in the long run. Global temperature correlates strongly with extreme climatic events, unlike country-level temperature used in previous work, explaining our larger estimate. We use this evidence to estimate damage functions in a neoclassical growth model. Business-as-usual warming implies a present welfare loss of more than 30%, and a social cost of carbon in excess of $1,200 per ton. These impacts suggest that unilateral decarbonization policy is cost-effective for large countries such as the United States.

Abstract We study the effect of conflict-induced displacement on human capital and occupational shifts, focusing on the Mozambican civil war (1977–1992), during which millions of civilians were forced to flee to the countryside, cities, and neighboring countries. Reconstructing the wartime mobility histories of the surviving population, we examine the consequences of multiple displacement trajectories in a unified framework. First, we characterize the education and sectoral employment of the universe of (non-)displaced. Second, we exploit differences in relocation trajectories among extended kin members during their schooling years. Displacement is associated with significant gains in education. Third, using a movers design, we show that minors displaced earlier to better districts experienced an increase in educational attainment. Focusing on moves during the intensification of the war and when comparing members of the same household, regional childhood exposure effects remain strong, whereas spatial sorting becomes negligible. Fourth, we jointly estimate place-based, spatial sorting, and uprootedness effects, showing that all forces are at play. Fifth, a small survey in Mozambique’s largest northern city reveals long-term effects: internally displaced people report higher education than their siblings who stayed behind but lower social capital and worse mental health relative to locals. Our findings demonstrate that displacement shocks can foster human capital accumulation, even in very low-income settings, albeit at the cost of enduring social and psychological traumas.

Abstract We develop a system of disaggregated economic accounts. The system breaks down national accounting positions into bilateral flows between consistently defined groups of consumers (consumer cells), groups of producers (producer cells), the government, and the rest of the world. We disaggregate the full circular flow of money, including consumer spending, labor compensation, firm profits, intermediates trade, foreign trade, and government transactions, while satisfying all national accounting identities. We implement the disaggregated system for small region-by-industry cells in Denmark and present stylized facts, such as variation in domestic spending, local and urban bias in consumer spending, and a pattern of triangular flows across regions. Cell-level measures of spending intensity capture how much spending by a cell contributes to the income of cells experiencing unemployment after a shock. Using a general equilibrium model, we show that fiscal transfers raise aggregate GDP by more when they target cells with high spending intensity on unemployed cells. The disaggregated economic accounts help governments select more effective policies.

Abstract We provide quasi-experimental evidence of how an innovative market-based solution using remote-sensing technology can mitigate drought-induced conflict. Droughts are a major driver of conflict in Africa, particularly between transhumant pastoralists and sedentary farmers. Index-Based Livestock Insurance (IBLI), a program piloted in Kenya, provides automated, preemptive payouts to pastoralists affected by droughts. Combining variation in rainfall and the staggered rollout of IBLI in Kenya over 2000–2020, we find that IBLI strongly reduces drought-induced conflict. Key mechanisms include a reduction in herd sizes, as well as income smoothing and asset price stabilization, contributing to an overall reduced migratory pressure for pastoralists. Our study suggests that market-based solutions are a scalable, cost-effective pathway to mitigate conflict, complementing political solutions such as power-sharing agreements and institutional reforms.

Abstract We develop a model that integrates modern theories of labor market flows with nominal wage rigidities to study the consequences of inflation on the labor market. Nominal wage stickiness incentivizes workers to engage in job-to-job transitions after an unexpected increase in the price level. Such dynamics lead to a rise in aggregate vacancies associating a seemingly tight labor market with lower real wages—two facts observed during the recent inflation period. The calibrated model jointly matches aggregate and cross-sectional trends in worker flows and wages during the 2021–2024 period. Using historical data, we show that prior periods of high inflation were also associated with increasing vacancies and upward shifts in the Beveridge curve. Our results suggest that policy makers and academics should be cautious about viewing the rise in the vacancy-to-unemployment rate as a sign of a tight labor market during inflationary periods without holistically looking at other labor market indicators.

Abstract This article studies the effects of automation in a task-based economy in which some jobs pay workers rents—wages above workers' outside options. We show that automation targets high-rent tasks, dissipating rents, amplifying wage losses, and reducing within-group wage dispersion in exposed groups. This form of rent dissipation is inefficient and offsets the productivity gains from automation. Using U.S. data from 1980 to 2016, we find evidence of sizable rent dissipation and reduced within-group wage dispersion due to automation. Automation accounts for 52% of the increase in between-group inequality since 1980, with rent dissipation explaining one-fifth of this total. Our estimates imply that inefficient rent dissipation has offset 60%–90% of the productivity gains from automation over this period.

Abstract We introduce and validate a novel approach to identifying good managers. In a preregistered lab experiment, we causally identify managerial contributions by randomly assigning managers to teams and controlling for individual skill. We find that manager contributions are crucial for team success, and that people who self-select into management roles perform worse than randomly assigned managers. Managerial performance is strongly predicted by economic decision-making skill but not by demographic characteristics. Two validation studies support our experimental results. Participants who succeed in the lab receive more real-world promotions and, in a separate study of retail store managers, skill measures strongly predict store sales. A one standard deviation increase in manager quality increases annual per store sales by US$4.1 million (25% increase). Selecting managers on skills rather than demographic characteristics or the desire to lead could substantially improve organizational performance.

Abstract Does information about the long-run financial costs of reduced labor supply increase mothers’ working hours? We document descriptively that long-term financial factors are not top of mind when mothers decide on their employment level. Moreover, a substantial share of women holds overly optimistic expectations about pension receipt and wage growth under part-time work. In a large-scale field experiment in Switzerland, we randomly assign mothers working part-time as teachers to receive objective information about the long-run costs of reduced labor supply. The treatment increases both demand for financial information and future labor supply plans, in particular among women who underestimate the costs of part-time work. Leveraging linked employer administrative data one year post-intervention, we find that this group of mothers increases working hours by 7%. These findings underscore that policies reducing information frictions in labor supply decisions may help address remaining gender gaps in the labor market.

Abstract Aspirations may condition the future-oriented choices of individuals and thus may play a role in the persistence of poverty or the effort to break out of it. We run a randomized controlled trial in remote, rural Ethiopia to explore this and evaluate an intervention that aims to change how poor people perceive their future opportunities, alter their aspirations, and through that, modify their investment decisions. A treatment group was shown video documentaries featuring individuals from similar communities who escaped poverty through their own efforts and who serve as relatable role models. Five years after the screening took place, the treated households had increased future-oriented investments in agriculture, children’s education, and assets. The results can be explained by an increase in aspirations in terms of lifetime goals. Overall, this research uniquely provides evidence that a light-touch behavioural intervention can have persistent economic impacts on a poor population.