Constructive data mining
modeling Argentine broad money demand
by Neil R. Ericsson
"This paper assesses the empirical merits of PcGets and Autometrics--two recent algorithms for computer-automated model selection--using them to improve upon Kamin and Ericsson's (1993) model of Argentine broad money demand. The selected model is an economically sensible and statistically satisfactory error correction model, in which cointegration between money, inflation, the interest rate, and exchange rate depreciation depends on the inclusion of a "ratchet" variable that captures irreversible effects of inflation. Short-run dynamics differ markedly from the long run. Algorithmically based model selection complements opportunities for the researcher to contribute value added in the empirical analysis"--Federal Reserve Board web site.
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Constructive data mining: modeling Argentine broad money demand
2008, Federal Reserve Board
Electronic resource
in English
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Title from PDF file as viewed on 6/18/2009.
Includes bibliographical references.
Also available in print.
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Mode of access: World Wide Web.
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| October 29, 2020 | Edited by MARC Bot | import existing book |
| December 10, 2009 | Created by WorkBot | add works page |