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A Meta-Analysis of Estimates of the Impact of Technical Barriers to Trade

Listed author(s):
  • Li, Yuan
  • Beghin, John C.

We conduct a meta-analysis to statistically explain the variations found in estimated trade effects of technical measures broadly defined (TBT, SPS measures and other standard-like policies), using available estimates from the empirical international trade literature, and accounting for both data sampling and methodology differences. Agriculture and food industries tend to be more impeded by these barriers than other sectors. Controlling for "multilateral resistance" significantly lowers the propensity to find that these policies impede trade. Models that correct endogeneity by using panel data and time fixed effect tend to find more negative (or less positive) trade effects of technical measures. In addition, studies based on a count variable proxy are less likely to find a negative trade effect and more likely to find a positive effect than studies relying on other proxies. SPS regulations on agricultural trade flows from developing exporters to high-income importers tend to impede trade, a systematic finding.

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File URL: http://www2.econ.iastate.edu/papers/p11968-2010-09-03.pdf
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Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers Archive with number 31968.

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Date of creation: 03 Sep 2010
Publication status: Published in Journal of Policy Modeling, May 2012, vol. 34 no. 3, pp. 497-511
Handle: RePEc:isu:genres:31968
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Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070

Phone: +1 515.294.6741
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Web page: http://www.econ.iastate.edu
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