ROBUST STATISTICAL INFERENCE IN PANEL DATA INCLUDING A PRACTICAL APPLICATION IN THE MIGRATION ANALYSIS

Tatiana Medková ()
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Tatiana Medková: University of Economics, Prague

No 9912282, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences

Abstract: The need for robust statistical inference is well-documented even in the elementary case of a regression with a randomly sampled cross section. The usual ordinary least square standard errors are generally biased under the presence of heteroskedasticity; a phenomenon that seems to be a rule rather than an exception in applied anaylsis. The article describes several methods to deal with the biased standard errors grouping them in two categories: sandwich variance estimators and multi-way clustering. Moreover, the empirical application is included. An analysis of migration in European countries using the theory of gravity model is done applying several standard errors correction methods.

Keywords: migration; robust; standard errors; heteroskedasticity; panel data (search for similar items in EconPapers)
JEL-codes: C23 C51 F22 (search for similar items in EconPapers)
Pages: 10 pages
Date: 2019-10
New Economics Papers: this item is included in nep-ore
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Published in Proceedings of the Proceedings of the 52nd International Academic Conference, Barcelona, Oct 2019, pages 217-226

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Persistent link: https://EconPapers.repec.org/RePEc:sek:iacpro:9912282

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