This paper formulates a structural empirical model of heterogeneous firms whose workers exhibit fair-wage preferences. In the underlying theoretical framework, such preferences lead to a link between a firm's operating profits on the one hand and wages of workers employed by this firm on the...

We challenge the common practice of estimating gravity equations with time-interval data in order to capture dynamic-adjustment effects to trade-policy changes. Instead, we point to a series of advantages of using consecutive-year data recognizing dynamic-adjustment effects. Our analysis reveals...

We propose a simple and flexible econometric approach to quantify ex-ante the “deep” impact of trade liberalization and the “hard” effects of protection with the empirical structural gravity model. Specifically, we argue that the difference between the estimates of border indicator...

We propose new methods to identify the full impact of country-specific characteristics on bilateral trade flows within the framework of ‘the new quantitative trade model.’ We complement theory with a simple two-stage estimating procedure, and offer a proof of concept by quantifying the...

This paper introduces the third update/release of the Global Sanctions Data Base (GSDB-R3). The GSDB-R3 extends the period of coverage from 1950-2019 to 1950-2022, which includes two special periods – COVID-19 and the war between Russia and Ukraine. The new update of the GSDB contains a total...

This paper uses a new dataset on the universe of Canadian imports and tariffs between 1924 and 1936, disaggregated into 1697 goods originating in 112 countries, to analyse the impact on Canadian imports of interwar Canadian trade policy, including the 1932 Ottawa trade agreements. Rather than...

Starting with Tinbergen (1962), quantifying the effects of regional trade agreements (RTAs) on international trade flows has always been among the most popular topics in the trade literature. Also not surprisingly, to estimate the effects of RTAs, most researchers and policy analysts have relied...

We propose a Generalized Poisson-Pseudo Maximum Likelihood (G-PPML) estimator that relaxes the PPML estimator’s assumption that the dependent variable’s conditional variance is proportional to its conditional mean. Instead, we employ an iterated Generalized Method of Moments (iGMM) to...

We quantify the relationships between deep trade liberalization and foreign direct investment (FDI). To this end, we focus on the effects of Deep Trade Agreements (DTAs), and we rely on a structural framework that simultaneously enables us to (i) estimate the direct impact of DTAs on FDI, (ii)...