顶刊论文流

Abstract We study how online job search advice affects job search behavior and labor market outcomes of unemployed workers. In a large-scale field experiment embedded in the online platform of the Danish public employment service, we provide job seekers with vacancy information and occupational recommendations. Using a two-stage randomized design with regionally varying treatment intensities, we examine both direct effects of advice and treatment spillovers. We find that advice significantly increases employment and earnings when provided to a limited share of job seekers. As treatment intensity rises, these effects diminish and eventually disappear. The decline is driven by negative spillovers among treated job seekers, consistent with increased congestion in the occupations toward which job seekers redirect their search. Spillover effects on untreated job seekers are heterogeneous and depend on how advice alters occupation-specific competition in local labor markets.

Abstract Quality regulation seeks to ensure quality and foster competition by reducing vertical differentiation, but it may also have adverse effects on market structure. We study this trade-off in the context of pharmaceutical bioequivalence, which is the primary quality standard for generic drugs. By exploiting the introduction of bioequivalence in Chile, we find that stronger regulation reduced the number of drugs in the market by 18% and increased average paid prices by 13%. We estimate a model of drug entry, certification, and demand to study how drug quality, aversion to generics, and certification costs shape the equilibrium effects of quality regulation. We find that quality regulation increased demand for generic drugs by resolving asymmetric information and reducing aversion to unbranded generics, which induced the entry of high-quality drugs in place of low-quality drugs. Consumer welfare increased despite higher prices and a lower number of firms. We compare minimum quality standards with alternative designs of quality regulation, including quality disclosure.

Abstract To study competition, innovation, and industry dynamics that arise as a result of their interaction, we develop a new oligopolistic general-equilibrium Schumpeterian growth model. This model ties together the endogenous growth, oligopolistic competition, and dynamic industrial organization literatures in a single unified framework. Within each industry, there are an endogenously determined number of large firms (“superstars”) that compete á la Cournot and a continuum of small firms which collectively constitute a competitive fringe. Firms dynamically choose their innovation strategies, cognizant of other firms' choices, and their entry and exit are endogenous. The model is consistent with the macroeconomic trends observed in the United States since the 1970s, such as the domination of industries by a small number of superstar firms, the rise of markups, market concentration, profits, and R&D spending, and the decline in business dynamism, productivity growth, and the labor share. It replicates the empirical relationship between innovation and competition within and across industries. As an application, we estimate the model to disentangle the effects of separate mechanisms on the structural transition observed in the United States, which yields striking results: (1) While the increase in the average markup causes a significant static welfare loss, this loss is overshadowed by the dynamic welfare gains from increased innovation in response to higher profit opportunities. (2) The increasing costs of innovation are found to be the primary determinant of lackluster productivity growth, i.e., ideas are getting harder to find.

Abstract When financial constraints bind, firms adjust employment in response to cash flow shocks. A 2010 revaluation of business rates, a UK tax levied on business-occupied properties, implied that similar firms, occupying similar properties in narrow geographical locations, experienced different tax changes. I find that, on average, for every ￡1 of additional cash flow triggered by the tax change, 39 pence were spent on employment, with small and leveraged firms responding the most. I use these findings to discipline a general equilibrium model with firm heterogeneity and financial frictions and quantitatively determine the aggregate effects of a fiscal transfer to firms.

Jiaqi Li, Shuaida He, Xin Chen

Abstract People may fail to recall and use information they already know when making decisions. We empirically investigate whether such “retrieval failures” distort consumption-smoothing behavior among Zambian farmers, who derive their income from one annual harvest and spend it over the course of the year. We document that individuals underestimate upcoming spending by 50%, creating scope for undersaving. To improve recall, we randomize an intervention that prompts people to think through their future expenses associatively in categories—without providing any external information or guidance. Treated individuals increase “remembered” expenses by 36%–60%; as predicted by the memory literature, effects are concentrated among small, irregular, and stochastic items. Immediate spending drops and, six weeks after the intervention, treated households hold 15% higher savings. They subsequently enter the hungry season—the final months of the year when consumption typically declines sharply—with one additional month of savings, leading to a flatter spending profile over the year. Households use the increased savings to self-finance additional farm investment, resulting in a 9% increase in the next year’s crop revenue. We replicate the intervention’s effect on beliefs among low-income Americans, suggesting that retrieval failures generalize across settings and populations.

Abstract We propose a tractable model in which risk, at both the micro and macro levels, is endogenous and driven by incentives. In the model, each firm chooses the mean and the variance of its productivity process, as well as how it covaries with the productivity of other firms. Aggregate risk arises when firms select productivity processes that are correlated with one another. The theory predicts that larger firms and those with lower markups are less volatile and less correlated with aggregate productivity. We find support for these predictions in the data. Through their impact on risk-taking decisions, distortions such as taxes and markups can make GDP more volatile in equilibrium. In a calibrated version of the model, removing distortions significantly reduces GDP volatility.

Abstract Standard New Keynesian (NK) models feature an optimal inflation target well below 2%, limited welfare losses from business cycle fluctuations and long-term monetary neutrality. We develop an NK framework with endogenous productivity and downward nominal wage rigidity (DNWR) which challenges these results. The interaction between endogenous growth and DNWR generates asymmetric hysteresis effects on unemployment and R&D. As a consequence, the model features a nonvertical long-run Phillips curve and a trade-off between price distortions and output hysteresis that changes the welfare-maximizing inflation rate to above 2%. Deviations from the optimal target carry welfare costs multiple times those in traditional NK models. Taylor rules that respond to the unemployment rate address more effectively the asymmetric hysteresis in our model. Results are robust to the inclusion of the effective lower bound on interest rates.

Luisa Corrado, Stefano Grassi, Aldo Paolillo

Abstract School assignment policies are a key lever for expanding access to high-performing schools and promoting racial and socioeconomic integration. For over 50 years, the Metropolitan Council for Educational Opportunity (METCO) has bussed students of color from Boston, Massachusetts, to relatively wealthier and predominantly white suburbs. I estimate the effects of attending a high-performing suburban school by comparing applicants who receive enrollment offers with applicants who do not. A two-stage least squares approach exploits waitlist assignment priorities and controls for a rich set of characteristics from birth records and application data. Attending a suburban school boosts math and English test scores, reduces dropout, and increases on-time high school graduation. Four-year college aspirations, enrollment, and graduation increase along with earnings in adulthood. Students whose parents did not attend college and boys experience the largest effects. The evidence points to several mechanisms, including access to higher value-added schools, higher-achieving peers, and schools with stronger college-going norms. Participants are more likely to be tracked into lower-performing classes, implying that effects could be larger with access to more advanced coursework. District value-added estimates suggest that students’ educational trajectories shift at least as much as they would from growing up in the suburban districts.

Abstract This paper provides evidence on how wage inequality among workers affects the labor movement using three complementary research designs: a vignette experiment with union organizers, a natural policy experiment that increased wage inequality among Wisconsin school teachers, and an information intervention during the 2023 Writers Guild of America strike. Across all studies, we find that inequality undermines union strength through multiple channels. First, workers with high individual bargaining power are more likely to withdraw support in unequal environments, preferring individual over collective bargaining. Second, union organizers facing hypothetical choices strategically respond to inequality in ways that may preserve membership but limit redistribution, such as shifting their campaign away from wages and choosing smaller, more homogeneous bargaining units.

Abstract We compare and combine two distinct approaches to estimating market power in the U.S. brewing industry—one based on production data, the other on demand. Both methods produce similar estimates of average markups and reveal a recent upward trend. We then combine the two approaches in two ways. First, we replace conventional instruments in demand estimation with a moment involving a production-based markup estimate, yielding similar results. We then evaluate the common (but controversial) assumption that retail markets operate competitively, finding that demand-based markups recovered with the assumption of competitive retail markets align with production-based estimates, as long as downstream costs are accounted for.

Todd E. Clark, Florian Huber, Gary Koop

Giuseppe Buccheri, Fulvio Corsi, Emilija Dzuverovic

Min Lin, Han Lin

Peter H. Egger, Jiaqing Zhu

Rong Jiang, M.C. Jones, Jiangfeng Wang, Keming Yu

Bowen Zhou, Heng Peng, Peirong Xu

Xinbing Kong, Yongxin Liu, Long Yu, Peng Zhao

Abstract There is a large latent workforce in developing countries that consists of hundreds of millions of women who prefer to have paid work and yet are out of the labor force. Often, available job opportunities are incompatible with traditional gender roles that encourage women to stay at home. In a randomized experiment with 1,670 households, we partner with a jobs platform to offer short-term data work to women who are out of the labor force. We find three main results. First, flexible work-from-home jobs are highly effective at bringing women into paid work. Job flexibility more than triples take-up from 15% for an office job to 48% for a job that women can do from home while multitasking with childcare. Second, these jobs can act as a stepping stone to less flexible work. Trying paid work from home increases take-up of less flexible jobs two to three months later among women without previous work experience. “Gateway jobs” are especially important for women from more traditional households: their labor supply is more likely to be marginal to flexibility, and in turn, work experience shifts their attitudes to become less traditional. Third, from the labor demand side, remote work comes with trade-offs in worker performance. Working from the office increases accuracy by 3% and speed by 18%. However, these performance drawbacks of work-from-home arrangements may be outweighed by the increase in available workers.

Abstract The structure of the Social Security program presents a trade-off between benefit duration and size; individuals who claim early receive lower monthly payments. Surprisingly, even wealthy Americans with high life expectancies frequently claim benefits at the earliest eligibility age, a behavior inconsistent with conventional life-cycle theory predictions. In fact, there is a striking similarity in claiming ages across groups with vastly different life expectancies, wealth levels, and incentives to delay. This paper resolves this puzzle by introducing policy details and subjective beliefs about longevity and program rules into a rich, forward-looking life-cycle model. When included in the model, subjective beliefs substantially narrow the claiming-age gaps across education (college vs. non-college) and marital-status (married vs. single) groups. Specifically, differences in program beliefs alone account for 48.6% of the education claiming age gap and 75.1% of the marital status gap. Counterfactual policy simulations demonstrate that failing to account for these claiming mechanisms dramatically overstates individual responses to an increase in the normal retirement age and understates the resulting fiscal savings.

Sven Otto, Nazarii Salish

Daniel Gutknecht, Cenchen Liu

Chenchen Ma, Yundong Tu

Zhao Chen, Chen Shi, Christina Dan Wang

Jun Zhang, Dan Pu, Wei Lan, Guanhao Feng

Abstract We measure which economic topics are top of mind using quarterly German household and firm panels from 2020 to 2024, a period that spans the post-pandemic inflation surge and the subsequent disinflation. With these data, we study potential determinants and consequences of having inflation top of mind. In line with goal-directed attention, the likelihood that inflation is top of mind rises with proxies for its true payoff relevance. At the same time, prior experiences predict whether respondents have inflation and energy prices top of mind conditional on a large set of controls for payoff relevance, and this relationship strengthens when the environment becomes more inflationary. Having inflation top of mind predicts stronger increases in information acquisition and inflation expectations over the shock period. At odds with goal-optimality, having inflation top of mind is associated with expectations further away from multiple ex-ante benchmarks. Finally, both key determinants of having inflation top of mind—payoff relevance and prior experiences—are associated with stronger shifts of expectations away from these benchmarks over the shock period.

Abstract Over the past four decades, the U.S. economy has seen a decline in the share of young firms alongside a rise in the profit share of GDP. This paper explores how population aging contributes to these twin trends through a demand-side channel. The core hypothesis is that younger households exhibit lower consumer inertia—a tendency to stick with previously chosen products—than older households. As demand shifts toward more inertial consumers, entry becomes harder, incumbents raise markups, and market share tilts toward larger firms. To quantify this mechanism, I develop and calibrate a firm dynamics model with overlapping generations of consumers who differ in their degree of inertia. Using detailed micro data, I show that younger households are significantly less inertial. The model implies that population aging accounts for 20%–30% of the observed decline in young firms and rise in profits. Reduced-form evidence across U.S. states and product categories supports the model’s predictions.

Abstract Even as global oil demand has increased in recent years, it is plausible to envision scenarios in which clean energy technologies or climate policies drive demand to essentially zero by the century’s end. This article asks what such a demand decline, when anticipated, might mean for global oil supply. One possibility is a “green paradox”: producers accelerate extraction. However, because extraction requires durable capital investments, the opposite may occur: producers reduce their investment rate, decreasing extraction. To evaluate the relative strengths of these opposing mechanisms, I develop a model of global oil supply that incorporates both, among other industry features. For model inputs with the strongest empirical support, both effects are modest, with disinvestment typically outweighing the green paradox. In order for the green paradox to substantially increase cumulative global oil extraction, investments must have short time horizons, and producers’ discount rates must be less than 4% real.

Abstract We use a sufficient statistic approach to quantify the general equilibrium effects of population ageing on the returns to wealth, wealth accumulation, and global imbalances. Combining population forecasts with household survey data from twenty-five countries, we measure the compositional effect of ageing: how a changing age distribution affects wealth-to-GDP, holding the age profiles of wealth and labour income fixed. In a baseline overlapping generations model this statistic, in conjunction with cross-sectional information and two standard macro parameters, pins down general equilibrium outcomes. Since the compositional effect is positive, large, and heterogeneous across countries, our model predicts that population ageing will lower returns to wealth, increase wealth-to-GDP ratios, and widen global imbalances through the twenty-first century. These conclusions extend to a richer model in which bequests, individual savings, and the tax-and-transfer system all respond to demographic change.

Abstract We present a flexible and scalable computational framework integrating machine learning and optimization theory to solve dynamic adverse selection models with persistent private information and many types. Our approach reformulates the model into a numerically tractable structure that bypasses set-valued dynamic programming; we formally prove that, under verifiable conditions, this relaxation yields the solution to the original problem. The recast problem is solved via a parallelized value function iteration algorithm, where high-dimensional, nonlinear functions are approximated using Gaussian process regression combined with Bayesian active learning. We apply our framework to two previously intractable models: one with persistent hidden information involving up to ten types and another incorporating multiple persistent types and overreporting. Validation against known solutions and rigorous credibility measures confirms accuracy. Allowing overreporting significantly alters long-run contract outcomes, concentrating consumption away from extremes and smoothing utility promises over time.

Abstract Market definition is challenging in settings with network effects, where substitution patterns depend on changes in network size. We study these effects in the context of social media. We conduct an incentivized experiment comparing substitution in response to a proposed U.S. TikTok ban, in which all users simultaneously leave the app, with substitution when only a single user deactivates. We find substantially higher valuations of alternative social apps under a collective TikTok ban than under an individual TikTok deactivation. Mechanism evidence shows that both anticipated content-supply shifts and social coordination partly explain the wedge, with the relative importance of each channel varying across platforms. We then show that a collective time limit challenge, where peers jointly reduce TikTok and Instagram use, leads to more time spent on alternative social apps than has been observed in prior individual deactivation experiments. Together, our results suggest that individual-level substitution estimates can be an unreliable guide to market definition for network goods.

Cong Cheng, Runze Li, Yuan Ke

Saraswata Chaudhuri, Eric Renault

Yong Bao, Jihai Yu

Abstract We study how firms set wages for their employees when they can legally age-discriminate across workers. We exploit an age-specific minimum wage change in the UK, which raised the minimum applying to workers aged 25 and over, leaving unchanged the minima for younger workers. Using matched employer-employee data on a low-paying sector, we show large, positive wage spillovers on workers aged under 25, which arise within firms from company wage policy. Pay equity norms offer the most parsimonious explanation for the emergence of spillovers. The effects that we document also operate in other low-paying sectors of the UK labour market.

Abstract We study how supply disruptions interact with monopoly pricing, inventory management, and consumer stockpiling in a continuous-time model. Pre-emption incentives—consumers prefer to stock up before a price hike while the firm prefers to hike before consumers stock up—lead to an equilibrium with gradual stockpiling and endogenous uncertainty over the timing of a price hike, which can trigger a run at the disruption onset. Consumer storage introduces welfare losses from randomized pricing, but can also strengthen the firm’s incentive to hold buffer stock. Rationing, price controls, and reserve mandates can each improve welfare, but only strategic government reserves can implement the social optimum.

Shiyao Huang, Xiaojun Song

JunYi Peng-Zhou, Xiaojun Song

Abstract This article provides the first comprehensive global evidence on people’s fairness and efficiency preferences, beliefs about the sources of inequality and the efficiency cost of redistribution, and policy attitudes toward redistribution. Using a globally harmonized consequential experiment with more than 65,000 individuals across 60 countries, we show that the source of inequality plays a substantially larger role for inequality acceptance than the efficiency cost of redistribution. At the global level, implemented inequality increases by 85% when inequality is caused by merit rather than luck, compared with a 14% increase when redistribution entails a 50% efficiency cost. We document substantial heterogeneity in fairness views and beliefs within and across societies. The meritocratic fairness view is most prominent in many richer Western societies, while libertarian and egalitarian fairness views are widespread in many other parts of the world. Globally, people are more likely to believe that inequality reflects luck rather than merit, while beliefs in large efficiency costs of redistribution are relatively weak. Fairness preferences and beliefs are strongly associated with redistribution attitudes and actual redistribution through taxes and transfers across countries. Our findings illustrate how the interaction between fairness views and beliefs may shape redistribution across societies, highlighting the importance of jointly understanding preferences and beliefs in the political economy of redistribution.

Abstract We study the history and geography of wealth accumulation in the United States using newly collected historical property tax records from the early 1800s onward. These records come from the administration of the General Property Tax—a tax that aspired to cover all types of property. We construct wealth series at the state, county, and national levels. At the state level, we use annual assessed values of wealth from state-level reports drawn from multiple sources. Because assessed values may differ from market values, we also require assessment ratios, defined as the ratio of assessed to market wealth. We obtain state-level assessment ratios from decadal U.S. Census wealth data (drawn from various census reports, including those on “Wealth, Debt, and Taxation”), in which the census carried out detailed valuation work, complemented with information on changes in assessment practices from the state reports, to build higher-frequency series of assessment ratios. The result is long-run annual wealth series for states from 1850 (or earlier, depending on the state) to 1935. We obtain national wealth series by aggregating these state series. At the county level, we use assessed values (or market values where available) from the U.S. Census wealth data for each decade and apply either state-level or county-level assessment ratios, where available, to obtain market values of wealth for each decade from 1850 to 1930. We use these data to show, first, that the United States experienced extraordinary wealth accumulation after the Civil War and until the Great Depression. Second, spatial inequality in the United States has been large and highly persistent since the mid-1800s. We also examine the determinants of long-term wealth growth and find, among other results, that counties with a higher share of enslaved property before the Civil War or with higher wealth inequality experienced lower subsequent long-run wealth growth.

Abstract In this paper, I document systematic heterogeneity in ownership and financing of firms across Eurozone countries. To rationalize these differences, I build a quantitative general equilibrium model of workers and entrepreneurs who choose debt and equity financing of their firms, subject to rich country-specific financial frictions. The novel data on firm ownership and financing, combined with the structure of the model, allows me to quantify the level of debt and equity frictions in each country. Quantitatively, I find much larger output effects from equity frictions: harmonizing them across countries would lead to nearly four times larger output effects compared to debt frictions, and removing them would increase aggregate output by 73% more. The larger impact on output is due not only to the estimated levels and dispersion of equity frictions but also to the greater risk sharing provided by equity, which further incentivizes entrepreneurs to expand their firms. Through their effect on risk sharing, equity frictions also rationalize the observed negative relationship between equity financing and wealth inequality. Quantitatively, they are responsible for over 70% of the explained variation in top wealth shares across countries.

Abstract This paper studies how municipal governments jointly manage spending, credit market borrowing, and a public employee pension system. I model governments as levered investors who must meet non-defaultable pension obligations and may value government spending more than citizens. I quantify the model using data on California cities, including a new record of fiscal emergencies, tax increases required to maintain essential city services. After the financial crisis depleted pension funds, cities engaged in excessive risk-taking: the fiscal emergency option encouraged gambling for resurrection that kept cities vulnerable to shocks well into the recovery. To correct this problem, a savings requirement works better than a restriction on risk-taking or a pension funding requirement. The policy experiments emphasize that effective policies need to target the combined pension and bond finances, as policies that only target one, such as a pension funding requirement, are undermined by endogenous changes to the other.

Abstract We estimate the impact of public pension incentives on labor supply far from the normal retirement age by exploiting Poland's switch from a Defined Benefit to a Notional Defined Contribution (NDC) scheme. This reform created a sharp cohort-based discontinuity in the link between current pension contributions and future benefits. Using this discontinuity and the universe of taxpayers, we estimate an employment elasticity with respect to the net return to work of 0.51 for men at ages 51-54. We estimate a lifecycle model to match these responses and discuss the broader implications of the reform. The shift to NDC reallocates work incentives over the lifecycle, strengthening incentives at younger ages, when labor supply is relatively inelastic, and weakening them at older ages, when labor supply is more elastic. This reallocation of work incentives tends to reduce aggregate lifecycle labor supply, which highlights the advantage of targeting pension incentives towards ages at which labor supply is most responsive.

Abstract Do workers from social groups with comparable productivity distributions obtain comparable lifetime earnings? We study how a small amount of early-career discrimination propagates over time when workers’ productivity is revealed through employment. In breakdown learning environments that primarily track on-the-job failures, such discrimination spirals into a substantial lifetime earnings gap for groups of comparable productivity, whereas in breakthrough learning environments that track successes, early-career discrimination can be self-corrected, so comparable groups obtain comparable lifetime earnings. This contrast persists in large labour markets and with flexible wages, inconclusive learning, and misspecified employer beliefs.

Abstract We experimentally study decentralized one-to-one matching markets with transfers. We vary the information available to participants, complete or incomplete, and the surplus structure, supermodular or submodular. Several insights emerge. First, while markets often culminate in efficient matchings, stability is more elusive, reflecting the difficulty of arranging attendant transfers. Second, incomplete information and submodularity present hurdles to efficiency and especially stability; their combination drastically diminishes stability’s likelihood. Third, matchings form “from the top down” in complete-information supermodular markets, but exhibit many more and less-obviously ordered offers otherwise. Last, participants’ market positions matter far more than their dynamic bargaining styles for outcomes.

Abstract We show that the emergence of new economic opportunities that draw women away from their traditional domestic roles has significantly influenced the adoption of religious veiling. We measure the prevalence of veiling among young women across Indonesia’s districts for more than two decades by hand-coding around a quarter million photographs attached to Indonesia’s public high school registers. To establish causality, we exploit exogenous variation generated by international demand for Indonesia’s products, interacted with the gender and sectoral composition of local industries. Districts exposed to stronger positive economic shocks—and thus greater economic opportunities for women—exhibit higher rates of veiling adoption. Our findings suggest that veiling facilitates young women’s participation in formal labour markets while safeguarding their personal and social image in society.

Abstract We study the causal effects of income on a rich array of employment outcomes, leveraging an experiment in which 1,000 low-income individuals were randomized into receiving $1,000 per month unconditionally for three years, with a control group of 2,000 participants receiving $50/month. We gather detailed survey data, administrative records, and data from a mobile phone app. The transfer caused total individual income excluding the transfers to fall by about $1,900/year relative to the control group and a 4.2 percentage point decrease in labor market participation. Participants reduced their work hours as a result of the transfers by 1–2 hours/week and participants’ partners reduced their work hours by a comparable amount. Among other categories of time use, the greatest increase generated by the transfer was in time spent on leisure. Despite asking detailed questions about amenities, we find no effect on quality of employment, and our confidence intervals can rule out even small improvements. Treated participants broadly increase expenditures, led by spending on nondurable goods and services, with smaller increases in spending on durable goods and human capital. We observe no significant effects on degree attainment, though the magnitudes of the estimated effects generally appear larger among younger participants. Measures of subjective well-being are higher among treated participants in the first year of the transfers but then revert to control-group levels. Overall, our results suggest a moderate labor supply effect that does not appear offset by other productive activities.

Abstract We study worker noncompete clauses in a large field experiment with two finance firms. Across ~14,000 job offers to freelance recruiters on short-term contracts, we randomize wages and the presence, salience, and duration of noncompetes (all contracts also included a nondisclosure agreement). Removing a noncompete increases mobility between competing employers by 36%–52% and raises workers’ total earnings from the two firms by 12%–17%. We find no evidence—rejecting even small effects—that removing noncompetes generates secret leakage. We also find no evidence that workers choose noncompete jobs for higher pay. Many workers appear unaware of noncompetes before firms’ post-employment communication. The results align with a model of inattention and uncertainty about enforcement.

Abstract This article constructs the first global data set on intersectoral capital service expenditures. I use these data to disaggregate capital services and intermediate inputs in a dynamic multisector trade model. Steady-state allocations and responses to shocks are determined by a capital-augmented global input-output matrix. Two properties of the measured network deliver larger long-run consumption gains from globalization than existing estimates, as well as larger gains in more capital-intensive countries. First, more trade-exposed sectors supply capital to more consumption-influential producers. Second, heterogeneity in the network reallocates sectoral expenditures toward producers with larger declines in capital rental prices. These reallocations raise capital incomes and lower consumption price indices.

Abstract Investors’ return expectations are pivotal in stock markets, but the reasoning behind these expectations is not well understood. This article explores economic agents’ mental models of what drives returns. We survey the general population, retail investors, financial professionals, and academic experts to investigate how they forecast and explain future returns in scenarios with stale news about future company earnings. We find that investors strongly disagree in their forecasts and reasoning. Most academic experts view markets as efficient. By contrast, most households express a perspective we call “expected earnings reasoning”: they directly equate higher expected earnings with higher expected returns. Professionals are split between market efficiency, mispricing, and expected earnings reasoning. In detailed experiments, we dissect why households adopt expected earnings reasoning. We show that it arises from inattention to how stock price changes affect investor costs—that is, how much investors must pay to acquire a claim to future cash flows—because the typical format and context of investment problems obscure these cost implications. Our results help connect a series of previously documented anomalies in expectation and trading data and highlight the importance of selective attention and context in shaping reasoning and belief formation.

Abstract Information often spreads and influences beliefs regardless of its reliability. We show that this occurs in part because indicators of reliability tend to be lost in the process of word-of-mouth transmission. We conduct controlled experiments where participants listen to economic forecasts and pass them on through voice messages. Other participants listen either to original or transmitted audio recordings and report incentivized beliefs. Across various transmitter incentive schemes, a claim’s reliability is lost in transmission much more than the claim itself. Reliable and unreliable information, once filtered through transmission, affect listeners’ beliefs similarly. Mechanism experiments show that reliability is lost not because it is perceived as less relevant or harder to transmit but because it is less likely to come to mind during transmission. Evidence from our experiments, a large corpus of everyday conversations, and economic TV news shows that contextual cues can bring reliability to mind and induce its transmission, but situations in which people share information seldom contain such cues.

Abstract We explore the mechanics of empathy. We show that information about an outgroup can activate and magnify empathy when presented in conjunction with an experience simulating their struggles. This response increases the willingness to help the struggling group. We provide evidence for this effect in an immersive virtual reality experiment where participants (witnesses) experience a simulation of the struggle of unauthorized migrants (protagonists), then replicate these results in a series of controlled lab experiments. We show that information enhances the witnesses’ empathetic response and drives them to engage in more prosocial behavior when it increases their perceived interpersonal similarity, or relatability to the protagonist—an effect we trace to attention: eye-tracking data reveal that information provision concentrates witnesses’ gaze on the struggles of the protagonist instead of searching through peripheral elements of the scene. Conversely, only information packages that strengthen perceived relatability—an effect that can vary across subgroups with heterogeneous attributes—magnify empathy. Together, our evidence suggests that the ability to put oneself in the shoes of another person or group can be enhanced by activating empathy through simple, targeted, information provision.

Abstract This article uses labor force surveys from 160 countries to build a new microdatabase on hours worked covering 97% of the world population in cross section. We also construct time series spanning over 20 years in 86 countries. Hours worked per adult slightly decline with GDP per capita but are weakly correlated with development overall. Hours worked by the young (aged 15–19) and elderly (aged 60+) fall with development, driven entirely by growing school attendance and public pension coverage. Hours worked among prime-age adults (aged 20–59) are stable with development but undergo a great gender reshuffling: falling hours per male worker have been exactly offset by increases in female labor force participation in many countries. Labor income taxes are strongly negatively related to hours worked across countries. This correlation is attenuated when controlling for social spending and disappears when further controlling for working hours regulations. Both social spending and working hours regulations are associated with lower hours worked.

Abstract If unions raise worker wages, who pays? We provide a comprehensive assessment of firm responses to increased unionization, using changes in the tax deductibility of union dues in Norway as a quasi-exogenous source of variation in firm-level union density. In the average private sector firm, higher union density raises labor costs and leads firms to contract employment and production, lowering profits without increasing the labor share. The incidence is shared: consumers bear part of the cost through higher prices, shareholders through lower profits, and the remainder is offset by productivity improvements. The total wage bill falls, with losses concentrated among less attached “outsider” workers. Firm responses vary systematically by the degree of market competition. In manufacturing, where firms operate in less competitive product and labor markets, the response is reversed: the average firm expands employment and production, reduces labor markdowns, and does not experience profit declines. Instead, higher labor costs are largely passed on to consumers through higher prices, with the remainder offset by productivity gains. Workers benefit as both wages and employment rise. These patterns suggest that unions can offset employer monopsony power and that firm responses—and therefore who ultimately bears the cost—depend importantly on market structure. Overall, unionization in this setting primarily redistributes from consumers rather than shareholders and has effects that differ sharply across firms, including a reallocation toward larger and more productive firms. We rationalize these patterns using a partial-equilibrium model of union bargaining with product- and labor-market power.

Abstract We test for stereotyping—the exaggeration of representative traits—in a high-stakes economic environment. Using surveys administered among undergraduates at the Ohio State University as well as large-scale nationally representative data, we measure how U.S. first-year students perceive the relationship between college majors and occupations. We show that students greatly overestimate the likelihood that majors lead to their representative jobs (e.g., counselor for psychology, journalist for journalism). Using an implicit association test, we show that students associate majors with their representative careers and that these associations strongly predict belief biases, in line with a stereotyping mechanism. A simple equilibrium model of the labor market predicts that stereotyping reduces welfare by increasing misallocation, which we corroborate with correlational evidence on job/major mismatch. In a field experiment, we test a light-touch policy to reduce stereotyping and find significant effects on students’ intentions about what to study as well as the classes and majors they enroll in.

Abstract We study how people’s beliefs about the economy covary with household-level events, using a unique link between Danish administrative data and a large-scale survey of consumer expectations. We find that compared to actual inflation, people’s inflation forecasts covary much more strongly (and negatively) with both recently realized household income changes and measures of expected future household income changes. We formally establish that these findings are stark deviations from the Bayesian rational expectations benchmark. Similar results hold for perceptions of past inflation (backcasts), suggesting that imperfect recall is a key mechanism for biased forecasts. Building on this, a series of additional tests, some of which use data on adverse health events, suggests that the forecast biases are at least partly due to affect-cued recall. That is, negative (positive) household-level events cue negative (positive) recollections, which lead to pessimistic (optimistic) forecasts.

Abstract We present a theory of choice in which attention to the features of options is determined by the decision maker’s categorization of the current problem in a set of problems she solved in the past. Categorization depends on goal-relevant and contextual problem-level features. The model yields heterogeneity in attention and choice in a given problem based on different past experiences and instability when changes in irrelevant context cause recategorization. We show that heterogeneous and unstable representations of a choice problem unify major biases in judgment and decision making.