Name File Type Size Last Modified
  AEJMacro_2008-00134_Replication_Files 10/12/2019 08:58:PM
LICENSE.txt text/plain 14.6 KB 10/12/2019 04:58:PM

Project Citation: 

Nunn, Nathan, and Trefler, Daniel. Replication data for: The Structure of Tariffs and Long-Term Growth. Nashville, TN: American Economic Association [publisher], 2010. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E114183V1

Project Description

Summary:  View help for Summary We show that the "skill bias" of a country's tariff structure is positively correlated with long-term per capita GDP growth. Testing for causal mechanisms, we find evidence consistent with the existence of real benefits from tariffs focused in skill-intensive industries. However, this only accounts for a quarter of the total correlation between skill-biased tariffs and growth. Turning to alternative explanations, we extend the standard Grossman-Helpman "protection-for- sale" model and show how the skill bias of tariffs can reflect the extent of domestic rent-seeking activities in the economy. We provide evidence that the remaining variation is explained by this endogeneity. (JEL D72, F13, F43, O17, O19, O24, O47)

Scope of Project

JEL Classification:  View help for JEL Classification
      D72 Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
      F13 Trade Policy; International Trade Organizations
      F43 Economic Growth of Open Economies
      O17 Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
      O19 International Linkages to Development; Role of International Organizations
      O24 Development Planning and Policy: Trade Policy; Factor Movement; Foreign Exchange Policy
      O47 Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence


Related Publications

Published Versions

Export Metadata

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.