Data Mining Reconsidered: Encompassing and the General-To-Specific Approach to Specification Search
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.
Year of publication: |
1997
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Authors: | Hoover, Kevin ; Perez, Stephen J. |
Publisher: |
Davis, CA : University of California, Department of Economics |
Saved in:
freely available
Series: | Working Paper ; 97-27 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | hdl:10419/189467 [Handle] RePEc:cda:wpaper:97-27 [RePEc] |
Source: |
Persistent link: https://www.econbiz.de/10011940952
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