Arbeitspapier

Estimating the Armington elasticity: The importance of data choice and publication bias

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.

Sprache
Englisch

Erschienen in
Series: IES Working Paper ; No. 19/2019

Klassifikation
Wirtschaft
Survey Methods; Sampling Methods
Consumer Economics: Empirical Analysis
Empirical Studies of Trade
Thema
Armington
trade elasticity
meta-analysis
publication bias
Bayesian model averaging

Ereignis
Geistige Schöpfung
(wer)
Bajzik, Josef
Havránek, Tomáš
Irsova, Zuzana
Schwarz, Jiri
Ereignis
Veröffentlichung
(wer)
Charles University in Prague, Institute of Economic Studies (IES)
(wo)
Prague
(wann)
2019

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Bajzik, Josef
  • Havránek, Tomáš
  • Irsova, Zuzana
  • Schwarz, Jiri
  • Charles University in Prague, Institute of Economic Studies (IES)

Entstanden

  • 2019

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