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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16430
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dc.contributor.authorGiri, Arun Kumar-
dc.contributor.authorMohapatra, Geetilaxmi-
dc.contributor.authorDebata, Byomakesh-
dc.date.accessioned2024-11-21T11:06:01Z-
dc.date.available2024-11-21T11:06:01Z-
dc.date.issued2023-02-
dc.identifier.urihttps://www.emerald.com/insight/content/doi/10.1108/jeas-03-2021-0060/full/html-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16430-
dc.description.abstractThe study employs the nonlinear autoregressive distributed lags model (NARDL) and Hetemi J asymmetric causality tests to explore nonlinearities in the dynamic interaction among the variables. The stationarity properties of data are checked by using Ng–Perron and ADF structural break unit root tests. The unit root test confirms that the variables are non-stationarity in level and are differenced stationary.en_US
dc.language.isoenen_US
dc.publisherEmeralden_US
dc.subjectEconomicsen_US
dc.subjectTechnological developmenten_US
dc.subjectFinancial developmenten_US
dc.subjectEconomic growthen_US
dc.subjectNARDLen_US
dc.titleTechnological development, financial development, and economic growth in India: Is there a non-linear and asymmetric relationship?en_US
dc.typeArticleen_US
Appears in Collections:Department of Economics and Finance

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