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The effects of the Uruguay round: empirical evidence from U.S. industry

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  • J. Mutti
  • R. Sampson
  • B. Yeung

Abstract

This article uses an event study to evaluate the anticipated results of the Uruguay Round on U.S. industry. Economists commonly use computable general equilibrium (CGE) models to predict the net economic efficiency effects of trade agreements. The event study method represents a complementary approach that relies on stock price movements to assess how investors predict that an event, in this case the conclusion of the Uruguay Round, will affect industry profitability. The empirical estimates indicate that U.S. industries with comparative advantage (disadvantage) experience positive (negative) stock price reactions, reflecting an increase (a decrease) in the industry trade and investment opportunities as well as an increased (decreased) return to existing tangible and intangible assets. For the market as a whole, the variation in stock prices does not differ significantly from zero, and the economic magnitude of industry gains and losses is small. These results are consistent with most CGE assessments and with the skeptical attitude that the real impact of the Uruguay Round Agreement remains uncertain.

Suggested Citation

  • J. Mutti & R. Sampson & B. Yeung, 2000. "The effects of the Uruguay round: empirical evidence from U.S. industry," Contemporary Economic Policy, Western Economic Association International, vol. 18(1), pages 59-69, January.
  • Handle: RePEc:bla:coecpo:v:18:y:2000:i:1:p:59-69
    DOI: 10.1111/j.1465-7287.2000.tb00006.x
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    References listed on IDEAS

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    Cited by:

    1. Hasanat Shah, Syed & Hasnat, Hafsa & li, Junjiang, 2010. "Pre and post WTO analysis of south Asian economies: evidence from panel data estimation," MPRA Paper 35634, University Library of Munich, Germany, revised 2011.
    2. Syed Hasanat SHAH & Hafsa HASNAT* & Sarath DELPACHITRA***, 2019. "Did the WTO Promote Growth, Trade and Foreign Direct Investment in South Asia?," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 29(2), pages 165-179.

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