We use a novel data set with verified observations of trade-induced layoffs by U.S. firms to study the interaction between firm productivity and trade liberalization as key determinants of firm-level job destruction due to trade. We find that patterns of trade-induced layoffs are broadly...

Standard trade theory suggests that Free Trade Agreements (FTAs) could disrupt trade between members and non-members. However, the trade diversion effects of FTAs have not been thoroughly examined empirically. Using a novel empirical approach, we confirm that FTAs that entered into force...

Using NAFTA as an illustrating example, I show that heterogeneity in the effects of free trade agreements (FTAs) both within and across agreements is not very well understood. Not only has NAFTA reduced trade frictions significantly more than other FTAs, but each NAFTA member country has enjoyed...

Trade-diversion effects of free trade agreements (FTAs) have not been thoroughly examined empirically. Using a novel empirical approach, we confirm that FTAs divert trade away from non-member countries and even more so from internal trade (domestic sales) in member countries.

We use a novel data set with verified observations of trade-induced layoffs by U.S. firms to study the interaction between firm productivity and trade liberalization as key determinants of firm-level job destruction due to trade. We find that patterns of trade-induced layoffs are broadly...

We extend the Berry, Levinsohn and Pakes (BLP, 1995) random coefficients discrete choice demand model, which underlies much recent empirical work in IO. We add interactive fixed effects in the form of a factor structure on the unobserved product characteristics. The interactive fixed effects can...

In this paper we study the least sqares (LS) estimator in a linear panel regression model with interactive fixed effects for asymptotics where both the number of time periods and the number of cross-sectional units go to infinity. Under appropriate assumptions we show that the limiting...

We analyze linear panel regression models with interactive fixed effects and predetermined regressors, e.g. lagged-dependent variables. The first order asymptotic theory of the least squares (LS) estimator of the regression coefficients is worked out in the limit where both the cross sectional...

Fixed effects estimators of nonlinear panel data models can be severely biased because of the well-known incidental parameter problem. We develop analytical and jackknife bias corrections for nonlinear models with both individual and time effects. Under asymptotic sequences where the...

This paper studies a simple dynamic linear panel regression model with interactive fixed effects in which the variable of interest is measured with error. To estimate the dynamic coefficient, we consider the least-squares minimum distance (LS-MD) estimation method.