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Estimating the Armington elasticity: The importance of study design and publication bias

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  • Bajzik, Josef
  • Havranek, Tomas
  • Irsova, Zuzana
  • Schwarz, Jiri

Abstract

A key parameter in international economics is the elasticity of substitution between domestic and foreign goods, also called the Armington elasticity. Yet estimates vary widely. We collect 3524 reported estimates of the elasticity, construct 32 variables that reflect the context in which researchers obtain their estimates, and examine what drives the heterogeneity in the results. To account for model uncertainty, we employ Bayesian and frequentist model averaging. To correct for publication bias, we use newly developed non-linear techniques. Our main results are threefold. First, there is publication bias against small and statistically insignificant elasticities. Second, differences in results are best explained by differences in data: aggregation, frequency, size, and dimension. Third, the elasticity implied by the literature after accounting for both publication bias and study quality lies in the range 2.5–5.1 with a median of 3.8.

Suggested Citation

  • Bajzik, Josef & Havranek, Tomas & Irsova, Zuzana & Schwarz, Jiri, 2020. "Estimating the Armington elasticity: The importance of study design and publication bias," Journal of International Economics, Elsevier, vol. 127(C).
  • Handle: RePEc:eee:inecon:v:127:y:2020:i:c:s0022199620300982
    DOI: 10.1016/j.jinteco.2020.103383
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    More about this item

    Keywords

    Armington; Trade elasticity; Meta-analysis; Publication bias; Bayesian model averaging;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

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    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. Meta-Research in Economics

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