We study empirically and theoretically the dynamic effects of the unilateral reduction in import tariffs undertaken by Colombia from 1989-1993, with a particular emphasis on the transition and including any anticipation effects. We develop an asymmetric two-country, multi-sector heterogeneous...

Openness to trade is one factor that has been identified as determining whether a country is prone to sudden stops in capital inflow, currency crashes, or severe recessions. Some believe that openness raises vulnerability to foreign shocks, while others believe that it makes adjustment to crises...

We build and estimate a structural dynamic general equilibrium model of growth and trade. Trade affects growth through changes in consumer and producer prices that in turn stimulate or impede physical capital accumulation. At the same time, growth affects trade, directly through changes in...

What is the best way to reduce trade frictions when resources are scarce? To answer this question, we develop a framework that nests previous general equilibrium gravity models and show that the macro-economic implications of these various models depend crucially on two key model parameters,...

We review a recent body of theoretical work that aims to put numbers on the consequences of globalization. A unifying theme of our survey is methodological. We rely on gravity models and demonstrate how they can be used for counterfactual analysis. We highlight how various economic...

This paper investigates the theory and evidence that history plays a role in shaping the direction of international trade. Because there are reasons to anticipate a positive correlation between the predominant direction of trade flows in the past and membership in preferential arrangements in...

The incorporation of increasing returns and imperfect competition into applied general-equilibrium (AGE) models, beginning with Harris (1984), led to much larger welfare effects from changes such as trade liberalization. But the imperfect competition side of these IO developments has often...

We propose a conformant likelihood estimator with exogeneity restrictions (CLEER) for random coefficients discrete choice demand models that is applicable in a broad range of data settings. It combines the likelihoods of two mixed logit estimators--one for consumer level data, and one for...

We introduce a general approach for analyzing large-scale text-based data, combining the strengths of neural network language processing and generative statistical modeling to create a factor structure of unstructured data for downstream regressions typically used in social sciences. We generate...

Implementing a state-of-the-art machine learning technique for causal identification from text data (C-TEXT), we document that patents authored by female inventors are under-cited relative to those authored by males. Relative to what the same patent would be predicted to receive had the lead...