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Re‐estimating the effect of heterogeneous standards on trade

Endogeneity matters

Bibliographic Data

ID21543386
AuthorsAnirudh Shingal (0000-0001-8007-7531, Indian Council for Research on International Economic Relations New Delhi India, corresponding author), Malte Ehrich (University of Göttingen Gottingen Germany), Liliana Foletti (University of Geneva Geneva Switzerland)
Year2021
Volume44
Issue3
Pages756-787
Publication date2021-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueWorld Economy (JOURNAL)
Journal identifiersISSN: 0378-5920 • E-ISSN: 1467-9701
PublisherWiley (PUBLISHER • GB)
DOI10.1111/twec.13015
OpenAlexW3081450454
LanguageEN
Citations received1
References cited35

Controlling for endogeneity‐induced biases and accounting for the source of heterogeneity may both matter for the proper empirical estimation of the effect of heterogeneous standards on trade. However, existing literature on the trade effects of heterogeneity in pesticides maximum residue levels (MRLs) does not directly address the problem of endogeneity in the standards–trade relationship. Using pesticides MRL data for 53 countries over 2005–14, we thus re‐examine the trade effects of stricter (than partner) standards accounting for endogeneity using panel data methods. We find that the direction of the estimated trade effects gets reversed, thereby underlining the greater demand‐enhancing effect of more stringent regulation. We also discuss why endogeneity may bias the estimates downwards. In another original contribution, we examine the standards–trade relationship by the direction of imposition of stricter standards for a large panel. Our results suggest that stricter standards do not impede trade, irrespective of who imposes them

Econometrics · Economics · Endogeneity · Estimation · Instrumental variable · International economics · Panel data · Economic Policies and Impacts · Energy, Environment, Economic Growth · Global trade and economics

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Unique citing works1
Citations per year0,5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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