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 |