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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19240
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dc.contributor.authorMohapatra, Geetilaxmi-
dc.date.accessioned2025-08-26T06:33:22Z-
dc.date.available2025-08-26T06:33:22Z-
dc.date.issued2025-08-
dc.identifier.urihttps://www.emerald.com/aeds/article-abstract/doi/10.1108/AEDS-02-2025-0066/1271914/Assessing-the-education-production-function-for?redirectedFrom=fulltext-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19240-
dc.description.abstractThe study estimated a model that considers education index data as the output in the education production function (EPF) as a function of various socioeconomic and climatic factors. This study utilized the autoregressive distributed lag (ARDL) cointegration bound testing approach to evaluate long-term connections and short-term fluctuations.en_US
dc.language.isoenen_US
dc.publisherEmeralden_US
dc.subjectEconomicsen_US
dc.subjectEducation production function (EPF)en_US
dc.subjectSocioeconomic factorsen_US
dc.subjectPanel ARDL modelen_US
dc.titleAssessing the education production function for India with a specific focus on climatic factorsen_US
dc.typeArticleen_US
Appears in Collections:Department of Economics and Finance

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