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dc.contributor.authorKočenda, Evženen
dc.contributor.authorPoghosyan, Karenen
dc.date.accessioned2017-12-28T08:20:06Z-
dc.date.available2017-12-28T08:20:06Z-
dc.date.issued2017-11-
dc.identifier.urihttp://hdl.handle.net/2433/228365-
dc.description.abstractIn this paper we analyze export sophistication based on a large panel dataset (2001–2015; 101 countries) and using various estimation algorithms. Using Monte Carlo simulations we evaluate the bias properties of estimators and show that GMM-type estimators outperform instrumentalvariable and fixed-effects estimators. Based on our analysis we document that GDP per capita and the size of the economy exhibit significant and positive effects on export sophistication; weak institutional quality exhibits negative effect. We also show that export sophistication is path-dependent and stable even during a major economic crisis, which is especially important for emerging and developing economies.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherInstitute of Economic Research, Kyoto Universityen
dc.publisher.alternative京都大学経済研究所ja
dc.subjectinternational tradeen
dc.subjectexport sophisticationen
dc.subjectemerging and developing economiesen
dc.subjectspecializationen
dc.subjectdynamic panel dataen
dc.subjectMonte Carlo simulationen
dc.subjectpanel data estimatorsen
dc.subject.ndc330-
dc.titleExport sophistication: A dynamic panel data approachen
dc.typeresearch report-
dc.type.niitypeResearch Paper-
dc.identifier.jtitleKIER Discussion Paperen
dc.identifier.volume980-
dc.identifier.spage1-
dc.identifier.epage28-
dc.textversionauthor-
dc.sortkey00980-
dc.addressInstitute of Economic Studies, Faculty of Social Sciences, Charles University in Pragueen
dc.addressCentral Bank of Armenia, Economic Research Departmenten
dcterms.accessRightsopen access-
出現コレクション:KIER Discussion Paper (英文版)

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