Estimating the Armington Elasticity: The Importance of Data Choice and Publication Bias
Tomas Havranek (),
Zuzana Irsova () and
No 2019/19, Working Papers IES from Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies
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 3,524 reported estimates of the elasticity, construct 34 variables that reflect the context in which researchers obtain their estimates, and examine what drives the heterogeneity in the results. To account for inherent model uncertainty, we employ Bayesian and frequentist model averaging. We present the first application of newly developed non-linear techniques to correct for publication bias. 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 mean elasticity implied by the literature after correcting for both publication bias and potential misspecifications is 3.
Keywords: Armington; trade elasticity; meta-analysis; publication bias; Bayesian model averaging (search for similar items in EconPapers)
JEL-codes: C83 D12 F14 (search for similar items in EconPapers)
Pages: 50 pages
Date: 2019-07, Revised 2019-07
New Economics Papers: this item is included in nep-int and nep-ore
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Working Paper: Estimating the Armington Elasticity: The Importance of Data Choice and Publication Bias (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:fau:wpaper:wp2019_19
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