This paper identifies productivity gains from trade by studying the manipulation behavior of firms in response to regulatory policies on international trade in China. Bunching estimates show that participation in international trade increases firm productivity. The productivity gains increase over time, indicating dynamic learning from trading. Further exploration shows no effects on R&D investment, product rationalization, and markup. Young firms and nonstate-owned firms (non-SOEs) gain more from participating in trade. Workers share productivity gains through increased wages but not from increased employment.

Skill content varies enormously across industries and over time. This paper shows that import competition can explain a significant portion of the variation in various skill measures across manufacturing industries. Industries that face more intense import competition employ more nonroutine skill sets, including cognitive, interpersonal, and manual skills, and fewer cognitive routine skills. In addition, we find that the impact of import competition on skills is not driven by imports from low-wage countries or from China. A number of robustness checks also suggest that our results are unlikely to be driven by econometric problems.

This paper examines the role of teacher gender in education production. We extend student outcomes from traditionally focused academic achievement to noncognitive outcomes. Using a representative survey of middle school students in China, we focus on schools where student-teacher assignments are random. Our results show that having a female teacher raises girls’ test scores and improves their mental status and social acclimation relative to those of boys. There is evidence that female teachers provide feedback differently to girls and boys and that having a female teacher alters girls’ beliefs about commonly held gender stereotypes and increases their motivation to learn.

Court capture in developing countries is pervasive, yet its economic effects remain underexplored. We study a Chinese reform that transferred financial and personnel authority over local courts from local to provincial governments. Exploiting the staggered roll-out, we find a 7.3% decline in local defendants’ win rates against non-local plaintiffs, alongside improved judicial quality. The reform encouraged smaller non-local firms to litigate and attracted non-local investment, potentially raising GDP by 1.9%. Yet favoritism toward politically connected firms and inter-provincial protectionism remain, and centralization itself promotes less qualified judges— revealing both its promise and limits.

A key input to quantitative evaluations of transport infrastructure projects is their impact on transport costs. We propose a new method of estimating this impact relying on widely accessible customs data: by using the route choice of exporters. We combine our method with a spatial equilibrium model to study the effects of the massive expressway construction in China between 1999 and 2010. We find transport costs are 20% lower on expressways than on regular roads. The expressways construction increases aggregate exports by 10% and domestic trade by 14%. It generates 5.1% welfare gains, implying a 150% net return to investment.

We examine whether local political corruption affects managers' discretionary disclosures of non-GAAP earnings. Using United States Department of Justice data on the number of corruption convictions of government officials, we find that firms headquartered in more corrupt districts (1) are less likely to report non-GAAP earnings, (2) have less aggressive non-GAAP earnings disclosures, and (3) experience a significant decline in the exclusion magnitudes of non-GAAP earnings. These results are more pronounced for firms with concentrated operations in their headquarter states and are robust to controlling for demographic characteristics, employing alternative corruption and non-GAAP measures, using the instrumental variable approach, and conducting a difference-in-difference analysis based on firms' relocation. Finally, we show that as local political corruption increases, managers exclude lower levels of both recurring and non-recurring items when calculating non-GAAP earnings. Overall, the results suggest that managing non-GAAP reporting is one channel through which firms could deter rent-seeking by corrupt officials.

Using influenza epidemic data, we examine how constraints on corporate information production affect disclosure policies. We find that firms in areas with higher flu activity are less likely to issue short‐run earnings forecasts and more likely to issue long‐run earnings forecasts. These results are more pronounced when the information production process is more complex, when managers face a greater reputational loss for issuing low‐quality short‐run forecasts, and when firms’ costs of switching the forecast horizon are lower. Further analysis implies that the effect of flu activity on these forecast issuance decisions is not driven by firm performance or information uncertainty. Our results suggest that managers do not simply avoid issuing forecasts in response to information production constraints. Instead, they shift the forecast horizon from short‐run to long‐run, appearing to balance the costs of issuing low‐quality forecasts with those of not issuing forecasts at all.

Using brokerage mergers and closures as two sources of exogenous shock to analyst coverage, this study explores the causal effect of analyst coverage on ex ante expected crash risk as captured by the options implied volatility smirk. We find a significant increase in a firm's ex ante expected crash risk subsequent to an exogenous drop in analyst coverage; this positive effect is stronger for firms initially receiving less coverage. Further, we find analysts' ability matters to investors' assessment of future crash risk. Specifically, we find the impact is more pronounced for the coverage terminations of analysts with more firm-specific or general experience, with greater access to resources, or whose prior forecasts are more accurate than those of their peers. Overall, our results suggest that investors in the options market do recognize analysts as important information intermediaries and monitors and, thus, that analyst coverage influences the underlying stock's expected crash risk.