We study a panel data model with heterogeneous effects, allowing slopes to vary across individuals and time. To reduce dimensionality, we assume these slopes follow a factor structure, so slope matrices can be estimated via low-rank regularized regression. We propose a multi-step estimation procedure incorporating sample splitting and partialing-out to enable valid inference after penalized estimation. We establish the asymptotic normality of the resulting estimator, facilitating inference for individualtime- specific effects and their cross-sectional averages. The method’s performance is illustrated through simulations and an empirical application.

This paper proposes a robust method for semiparametric identification and estimation in panel multinomial choice models, where we allow for infinite-dimensional fixed effects that enter into consumer utilities in an additively nonseparable way, thus incorporating rich forms of unobserved heterogeneity. Our identification strategy exploits multivariate monotonicity in parametric indices, and uses the logical contraposition of an intertemporal inequality on choice probabilities to obtain identifying restrictions. We provide a consistent estimation procedure, and demonstrate the practical advantages of our method with Monte Carlo simulations and an empirical illustration on popcorn sales with the NielsenIQ data.

This paper examines the impacts of technology training and buyer-supplier relationship on technology adoption and quality upgrading. We randomly varied subjects of each training group across farmer-exporter clusters—farmers, exporters, both, or none—and provided training on Good Agricultural Practices (GAP). We find that training farmers enhances technology adoption and quality upgrading. Yet, the effects are much stronger when farmers and exporters are trained together. We document a plausible mechanism to explain this finding: joint training improves buyer-supplier relationship, which facilitates contract trade between farmers and exporters. We find no effect of GAP certification eligibility on technology adoption.

This paper analyzes international externalities of a local shock to the global shipping network. The 2016 Panama Canal expansion removed a bottleneck in seaborne transportation. Using reduced-form and structural methods in combination with novel satellite data on ships, we find that trade increased significantly among country-pairs using the canal. We find that the global real income gains from the canal expansion were over three times greater than the income gains for Panama itself. A link removal analysis reveals that most shipping links are associated with positive and quantitatively important positive international externalities.

We study the implications of the presence of foreign multinationals on regional corporate tax policies of a country. We develop and estimate a quantitative spatial model with multinational production (MP) and local corporate taxes. Exploiting China's 2008 corporate tax reform, we find that firm production across regions is twice as footloose as estimates in the literature on cross-country production. Counterfactual analysis shows that (i) China's 2008 corporate tax reform shifted foreign-firm productions to western provinces and increased Chinese welfare by 0.86%; (ii) regional tax competition would significantly reduce China's corporate tax revenue, lowering the welfare by 5.56%; (iii) the nationally optimal corporate tax schedule would increase Chinese welfare by 3.10%. Finally, without the presence of foreign multinationals, the welfare loss from regional tax competition would be 2.04%, while the gain from the nationally optimal corporate taxes would be only 0.06%.

We ask how export demand shocks associated with the Asian financial crisis affected Chinese exporters. We construct firm-specific exchange rate shocks based on the precrisis destinations of firms' exports. Because the shocks were unanticipated and large, they are a plausible instrument for identifying the impact of exporting on firm productivity and other outcomes. We find that firms whose export destinations experience greater currency depreciation have slower export growth and that export growth leads to increases in firm productivity and other firm performance measures. Consistent with “learning-by-exporting,” the productivity impact of export growth is greater when firms export to more developed countries.