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Magical Tome

Placeholder cover for Constructive data mining
First published
2008
Publisher
Federal Reserve Board

Constructive data mining

The outer archives are busy

by Neil R. Ericsson

About this book

"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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