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On determining the importance of a regressor with small and undersized samples

Publikation: Working paperForskning

  • Afdeling for Nationaløkonomi
A problem encountered in, for instance, growth empirics is that the number ofexplanatory variables is large compared to the number of observations. This makesit infeasible to condition on all variables in order to determine the importance of avariable of interest. We prove identifying assumptions under which the problem isnot ill-posed. Under these assumptions, we derive properties of the most commonlyused methods: Extreme bounds analysis, Sala-i-Martin's method, BACE, generalto-specific, minimum t-statistics, BIC and AIC. We propose a new method and showthat it has good finite sample properties.
OriginalsprogEngelsk
UdgivelsesstedAarhus
UdgiverInstitut for Økonomi, Aarhus Universitet
Antal sider39
StatusUdgivet - 2006

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