About

Welcome to my website! I am an associate professor at the University of Chicago Booth School of Business. My primary field of interest is international trade.

Research topics

• Computer Science
• Economics
• Labour economics
• Mathematical analysis
• Econometrics
• Finance
• Demographic economics
• Accounting
• Mathematics
• Business

Selected publications

• World Trading System For Whom? Evidence from Global Tariffs

  SSRN Electronic Journal · 2026-01-01

  preprintOpen access1st authorCorresponding
  PublisherDOI

• A World Trading System For Whom? Evidence from Global Tariffs

  SSRN Electronic Journal · 2026-01-01

  preprintOpen access1st authorCorresponding
  PublisherDOI

• Fast and Slow Technological Transitions

  Journal of Political Economy Macroeconomics · 2024-02-27 · 22 citations

  article1st authorCorresponding

  Do economies adjust slowly to certain technological innovations and more rapidly to others? We argue that the adjustment is slower when innovations mainly benefit production activities requiring skills that are more different from those used in the rest of the economy. When such skill specificity is stronger, the adjustment of labor markets is driven less by the fast reallocation of older incumbent workers and more by the gradual entry of younger generations. We first document that the US labor market adjusted differently to early twentieth-century manufacturing innovations than to recent information and communication technologies (ICTs). We then build an overlapping-generations model of technological transitions and characterize how skill specificity affects equilibrium dynamics. Skill specificity helps explain why the ICT transition was slower, driven entirely by the entry of younger generations.

  PublisherDOI

• Putting Quantitative Models to the Test: An Application to the U.S.-China Trade War

  The Quarterly Journal of Economics · 2024-11-27 · 10 citations

  article1st authorCorresponding

  Abstract The primary motivation behind quantitative work in international trade and many other fields is to shed light on the economic consequences of policy changes and other shocks. To help assess and potentially strengthen the credibility of such quantitative predictions, we introduce an IV-based goodness-of-fit measure that provides the basis for testing causal predictions in arbitrary general equilibrium environments as well as for estimating the average misspecification in these predictions. As an illustration of how to use the measure in practice, we revisit the welfare consequences of the U.S.-China trade war predicted by Fajgelbaum et al. (2020).

  PublisherDOI

• Why is Trade Not Free? A Revealed Preference Approach

  2024-05-21 · 6 citations

  preprintOpen access1st authorCorresponding

  A prominent explanation for why trade is not free is politicians' desire to protect some of their constituents at the expense of others. In this paper we develop a methodology that can be used to reveal the welfare weights that a nation's import tariffs implicitly place on different groups of society. Applied in the context of the United States in 2017, this method implies that redistributive trade protection accounts for a significant fraction of US tariff variation and causes large monetary transfers between US individuals, mostly driven by differences in welfare weights across sectors of employment. Perhaps surprisingly, differences in welfare weights across US states play a much smaller role.

  PublisherOA PDFDOI

• Putting Quantitative Models to the Test: An Application to Trump's Trade War

  SSRN Electronic Journal · 2023-01-01

  articleOpen access1st authorCorresponding
  PublisherDOI

• Why is Trade Not Free? A Revealed Preference Approach

  National Bureau of Economic Research · 2023-10-01 · 2 citations

  reportOpen access1st authorCorresponding

  A prominent explanation for why trade is not free is politicians' desire to protect some of their constituents at the expense of others.In this paper we develop a methodology that can be used to reveal the welfare weights that a nation's import tariffs implicitly place on different groups of society.Applied in the context of the United States in 2017, this method implies that redistributive trade protection accounts for a significant fraction of US tariff variation and causes large monetary transfers between US individuals, mostly driven by differences in welfare weights across sectors of employment.Perhaps surprisingly, differences in welfare weights across US states play a much smaller role.

  PublisherDOI

• Why is Trade Not Free? A Revealed Preference Approach

  SSRN Electronic Journal · 2023-01-01 · 3 citations

  articleOpen access1st authorCorresponding
  PublisherDOI

• Putting Quantitative Models to the Test: An Application to Trump’s Trade War

  SSRN Electronic Journal · 2023-01-01 · 4 citations

  articleOpen access1st authorCorresponding
  PublisherDOI

• Why is Trade Not Free? A Revealed Preference Approach

  SSRN Electronic Journal · 2023-01-01 · 4 citations

  articleOpen access1st authorCorresponding
  PublisherDOI

Frequent coauthors

• Dave Donaldson

  93 shared

• Arnaud Costinot

  73 shared

• Nitya Pandalai-Nayar

  University of San Diego

  38 shared

• Martin Beraja

  Massachusetts Institute of Technology

  38 shared

• Dina Pomeranz

  University of Zurich

  32 shared

• Costas Arkolakis

  Yale University

  31 shared

• Paul E. Carrillo

  30 shared

• Federico Esposito

  Tufts University

  24 shared

Awards & honors

• Distinguished Alumni Award Honorees