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DC Field | Value | Language |
---|---|---|
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&%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 |
Appears in Collections: | Department of Economics and Finance |
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