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Data Mining Reconsidered: Encompassing And The General-To-Specific Approach To Specification Search

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  • Kevin Hoover
  • Stephen J. Perez

    (Department of Economics, University of California Davis)

Abstract

The effectiveness of one aspect of the London School of Economics (LSE) approach to econometrics is assessed in a simulation study. The paper uses a data set and nine models analogous to those in Lovell''s (1983) study of data mining. A simplified general-to-specific algorithm is tested in a simulation framework. While the study documents some of the pitfalls of the general-to-specific approach, it is, on the whole, supportive of the effectiveness of the LSE methodology as applied to stationary data with relatively simple dynamics. The general-to-specific methodology clearly dominates the alternative search methodologies investigated by Lovell.

Suggested Citation

  • Kevin Hoover & Stephen J. Perez, 2003. "Data Mining Reconsidered: Encompassing And The General-To-Specific Approach To Specification Search," Working Papers 200, University of California, Davis, Department of Economics.
    • Handle: RePEc:cda:wpaper:200
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    References listed on IDEAS

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