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metadata language: English

Using the Gravity Model to Estimate the Costs of Protection

Version
v1
Resource Type
Dataset : survey data
Creator
  • Wall, Howard J. (Federal Reserve Bank of St. Louis)
Other Title
  • Version 1 (Subtitle)
Publication Date
1999-06-23
Language
English
Free Keywords
exports; national economy; trade policy; protectionism
Description
  • Abstract

    Economists' estimates of the actual burden that trade protectionism imposes on the economy have been surprisingly small. In this article, the author presents a method that captures some of the effects and distortions of trade protection that have not been captured by existing methods. He finds that during 1996, worldwide protectionism reduced United States exports by 26.2 percent. Likewise, United States protectionism decreased United States imports from non-NAFTA countries by 15.4 percent. He calculates further that the welfare cost of United States protectionism amounted to about 1.45 percent of United States national income, which is much higher than previous estimates.
  • Table of Contents

    Datasets:

    • DS1: Dataset
Geographic Coverage
  • United States
Collection Mode
  • (1) The file submitted is 9901hw.xls, which contains the data for the regressions in the article. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.

Availability
Download
This study is freely available to the general public via web download.
Alternative Identifiers
  • 1200 (Type: ICPSR Study Number)
Publications
  • Wall, Howard J.. Using the gravity model to estimate the costs of protection. Federal Reserve Bank of St. Louis Review.81, (1), 33-40.1999.

Update Metadata: 2015-08-05 | Issue Number: 6 | Registration Date: 2015-06-15

Wall, Howard J. (1999): Using the Gravity Model to Estimate the Costs of Protection. Version 1. Version: v1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR01200.v1