Export Market Dynamics of Goa’s Iron-Ore Extracting Firms: Panel Data Analysis Using Fixed and Random Effect Estimator

dc.contributor.author	Dr. Manasvi M. Kamat
dc.contributor.author	Dr. Manoj Subhash Kamat
dc.date.accessioned	2025-03-01T04:54:03Z
dc.date.available	2025-03-01T04:54:03Z
dc.date.issued	2025-03-01
dc.description.abstract	The paper attempts to improve the prediction and measurement of regional export by revisiting the role of firm demographics and inter-firm export performance. Firm characteristics as potential predictors of export performance are focused while premising our propositions on constructs from international market theories. Firstly it is examined whether the coefficients in the demand and supply equations are consistent with the economic theory. Secondly we find industry specific evidence on the determinants of the firm-level export intensity for iron-ore extracting firms in a regional context, originating from the State of Goa. The Fixed and Random Effect Estimators (FEM & REM) are modeled on Panel Data. Two Stage Least Squares (TSLS), Dynamic OLS (DOLS) and Panel Tobit Model estimations conducted on all the sample firms pooled together, add value from a managerial perspective. At a scholarly level we respond to the need to test the explanatory power of the premises by the most followed export marketing literature.
dc.identifier.uri	http://mescollege.ndl.gov.in/handle/123456789/59
dc.language.iso	en
dc.relation.ispartofseries	SSRN
dc.title	Export Market Dynamics of Goa’s Iron-Ore Extracting Firms: Panel Data Analysis Using Fixed and Random Effect Estimator
dc.type	Article

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