Research on policing has focused on documented actions such as stops and arrests—less is known about patrols and presence. We map the neighborhood movement of nearly 10,000 officers across 21 of America’s largest cities using anonymized smartphone data. Police spend 0.36% more time in neighborhoods for each percentage point increase in Black residents. This neighborhood-level disparity persists after controlling for density, socioeconomic status, and crime-driven demand for policing, and may be lower in cities with more Black police supervisors (but not officers). Patterns of police presence statistically explain 57% of the higher arrest rate in more Black neighborhoods.

This study examines the effects of air quality regulation on economic activity. Anecdotal evidence and some recent empirical studies suggest that an inverse relationship exists between the stringency of environmental regulations and new plant formations. Using a unique county-level data set for New York State from 1980 to 1990, we revisit this conjecture using a seminonparametric method based on propensity score matching. Our empirical estimates suggest that pollution-intensive plants are responding to environmental regulations; more importantly, we find that traditional parametric methods used in previous studies may dramatically understate the impact of more stringent regulations.

We present and estimate a model in which the choice between entrepreneurship and wage work may be influenced by financial market imperfections. The model allows for limited liability, moral hazard, and a combination of both constraints. The paper uses structural techniques to estimate the model and identify the source of financial market imperfections using data from rural and semiurban households in Thailand. Structural, nonparametric, and reduced‐form estimates provide independent evidence that the dominant source of credit market imperfections is moral hazard. We reject the hypothesis that limited liability alone can explain the data.

We present a model embodying moderate amounts of nominal rigidities that accounts for the observed inertia in inflation and persistence in output. The key features of our model are those that prevent a sharp rise in marginal costs after an expansionary shock to monetary policy. Of these features, the most important are staggered wage contracts that have an average duration of three quarters and variable capital utilization.

The authors argue that many goods and decisions are not allocated or made through markets. They interpret an agent's status as a ranking device that determines how well he or she fares in the nonmarket sector. The existence of a nonmarket sector can endogenously generate a concern for relative position in, for example, the income distribution so that higher income implies higher status. Moreover, it can naturally yield multiple equilibria. It is thus possible to explain differences in growth rates across countries without recourse to differences in underlying preferences, technologies, or endowments. Different social organizations lead to different reduced-form preferences, which lead to different growth rates.

Contrary to theoretical expectations, measures of willingness-to-accept greatly exceed measures of willingness-to-pay. This paper reports several experiments that demonstrate that this "endowment effect" persists even in market settings with opportunities to learn. Consumption objects (e.g., coffee mugs) are randomly given to half the subjects in an experiment. Markets for the mugs are then conducted. The Coase theorem predicts that about half the mugs will trade, but observed volume is always significantly less. When markets for "induced-value" tokens are conducted, the predicted volume is observed, suggesting that transactions costs cannot explain the undertrading for consumption goods.

As remote auditing remains widespread, the profession is concerned that decreased auditor-client interactions and remote supervision challenges can reduce audit quality. In response, some firms have increased supervisor monitoring of remote auditors. We experimentally examine how two key remote audit factors, the spatial distance between auditors and clients and the frequency of supervisor monitoring, influence auditors’ judgments in creative tasks. We predict and find that working remotely facilitates auditors’ higher-level cognition that enhances creative hypothesis generation and improves decision quality when uncovering a seeded error if monitored less frequently than more frequently. More frequent monitoring constrains auditors, which squashes effort and creativity, diminishing the benefits of working remotely. Working onsite at the client location reduces the sense of psychological distance, thereby diminishing the difference between monitoring frequencies. These findings have implications for audit practice as working remotely can enhance performance on creative problem-solving tasks, but only when monitored less frequently.