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

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dc.contributor.author Mohapatra, Geetilaxmi
dc.date.accessioned 2024-11-21T10:31:09Z
dc.date.available 2024-11-21T10:31:09Z
dc.date.issued 2023-05
dc.identifier.uri https://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.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16429
dc.description.abstract For 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 method en_US
dc.language.iso en en_US
dc.publisher Emerald en_US
dc.subject Economics en_US
dc.subject Sustainable development goals (SDGs) en_US
dc.subject Kuznets hypothesis en_US
dc.subject Dynamic Common Correlated Effect (DCCE) en_US
dc.title Examining the trade-led Kuznets hypothesis for emerging economies: a multivariate framework en_US
dc.type Article en_US


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