Examining the trade-led Kuznets hypothesis for emerging economies: a multivariate framework

dc.contributor.authorMohapatra, Geetilaxmi
dc.date.accessioned2024-11-21T10:31:09Z
dc.date.available2024-11-21T10:31:09Z
dc.date.issued2023-05
dc.description.abstractFor this purpose, recent econometric techniques, such as Common Correlated Effect (CCE) and Dynamic Common Correlated Effect (DCCE) estimators have been employed to deal with the cross-section dependence (CD) that arises in panel data, while the robustness of the study is checked through Driscoll–Kraay standard errors methoden_US
dc.identifier.urihttps://www.emerald.com/insight/content/doi/10.1108/ijoem-06-2022-0916/full/html?amp%3Butm_medium=feed&amp%3Butm_campaign=rss_journalLatest&WT_mc_id=Emerald_TrendMD_0
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16429
dc.language.isoenen_US
dc.publisherEmeralden_US
dc.subjectEconomicsen_US
dc.subjectSustainable development goals (SDGs)en_US
dc.subjectKuznets hypothesisen_US
dc.subjectDynamic Common Correlated Effect (DCCE)en_US
dc.titleExamining the trade-led Kuznets hypothesis for emerging economies: a multivariate frameworken_US
dc.typeArticleen_US

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