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Selection Procedures for Economics

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Author Info
William C. Horrace

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Abstract

In a presentation to the American Economics Association, McCloskey (1998) argued that "statistical significance is bankrupt" and that economists' time would be "better spent on finding out How Big Is Big". This abbreviated survey is devoted to methods of determining "How Big Is Big". It is concerned with a rich body of literature called selection procedures, which are statistical methods that allow empiricists to attach confidence levels to statements about the relative magnitudes of population parameters (i.e., How Big Is Big). Despite their prolonged existence and common use in other fields, selection procedures have gone relatively unnoticed in the fields of economics, and, perhaps, their use is long overdue. The purpose of this article is to provide a brief survey of selection procedures as an introduction to economists and econometricians and to illustrate their use in economics by discussing a few potential applications. Both simulated and empirical examples are provided.

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Publisher Info
Article provided by Duncker & Humblot, Berlin in its journal Applied Economics Quarterly.

Volume (Year): 52 (2006)
Issue (Month): 4 ()
Pages: 357-374
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Handle: RePEc:aeq:aeqaeq:v52_y2006_i4_q4_p357-374

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Related research
Keywords: Ranking and selection; order statistics; statistical inference.;

Find related papers by JEL classification:
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing

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This page was last updated on 2009-12-26.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.