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Estimating the Armington elasticity: The importance of study design and publication bias
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“as pointed out by Bajzik et al. (2020) and Zigraiova et al. (2021), the FAT-PET-PEESE approach implicitly assumes that publication selection bias is linearly proportional to the size of the standard error, which might not be practical in some cases.”
From Economic development and the finance–growth nexus: a meta-analytic approach (2024) · cites this paper as Bajzik et al. (2020)
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Metadata
- Authors
- Bajzik, J., Havranek, T., Irsova, Z., & Schwarz, J.
- Venue
- Journal of International Economics
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 127
- Pages
- 103383
- ISSN
- 0022-1996 (ISSN-L)
- OpenAlex
- W3082305249
- Cited by
- 150
- References
- 141
- Citations by year
- 2026: 28 · 2025: 18 · 2024: 26 · 2023: 32 · 2022: 20 · 2021: 14 · 2020: 9
- FWCI
- 30.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of International Economics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Univerzita Karlova v Praze (PRIMUS/17/HUM/16)
- Grantová Agentura České Republiky (18-02513S, 19-26812X, 21-09231S)
- Topics
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Global trade and economics
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Monetary Policy and Economic Impact
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economics of Agriculture and Food Markets
- Keywords
- Armington elasticity, elasticity of substitution, publication bias, research design, model averaging, data aggregation, data frequency, dataset size, study quality, heterogeneity of estimates, international trade
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