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Constructive data mining: modeling Argentine broad money demand

  • Neil R. Ericsson
  • Steven B. Kamin

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.

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Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series International Finance Discussion Papers with number 943.

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Date of creation: 2008
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Handle: RePEc:fip:fedgif:943
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  1. Kathryn M.E. Dominguez & Linda L. Tesar, 2005. "International Borrowing and Macroeconomic Performance in Argentina," NBER Working Papers 11353, National Bureau of Economic Research, Inc.
  2. Johansen, Soren, 1992. "Cointegration in partial systems and the efficiency of single-equation analysis," Journal of Econometrics, Elsevier, vol. 52(3), pages 389-402, June.
  3. Hendry, David F & Hans-Martin Krolzig, 2003. "The Properties of Automatic Gets Modelling," Royal Economic Society Annual Conference 2003 105, Royal Economic Society.
  4. Helkie, William L. & Howard, David H., 1994. "External adjustment in selected developing countries in the 1990s," Journal of Policy Modeling, Elsevier, vol. 16(4), pages 353-393, August.
  5. Søren Johansen & Bent Nielsen, 2008. "An analysis of the indicator saturation estimator as a robust regression estimator," CREATES Research Papers 2008-09, School of Economics and Management, University of Aarhus.
  6. Hendry, David F & Mizon, Grayham E, 1978. "Serial Correlation as a Convenient Simplification, not a Nuisance: A Comment on a Study of the Demand for Money by the Bank of England," Economic Journal, Royal Economic Society, vol. 88(351), pages 549-63, September.
  7. Neil R. Ericsson & David F. Hendry & Kevin M. Prestwich, 1997. "The demand for broad money in the United Kingdom, 1878-1993," International Finance Discussion Papers 596, Board of Governors of the Federal Reserve System (U.S.).
  8. Steven B. Kamin & Neil R. Ericsson, 1993. "Dollarization in Argentina," International Finance Discussion Papers 460, Board of Governors of the Federal Reserve System (U.S.).
  9. Atkinson, A. C., 1981. "Likelihood ratios, posterior odds and information criteria," Journal of Econometrics, Elsevier, vol. 16(1), pages 15-20, May.
  10. Hendry, David F & Doornik, Jurgen A, 1994. "Modelling Linear Dynamic Econometric Systems," Scottish Journal of Political Economy, Scottish Economic Society, vol. 41(1), pages 1-33, February.
  11. Neil Ericsson, 2004. "The ET interview: professor David F. Hendry," International Finance Discussion Papers 811, Board of Governors of the Federal Reserve System (U.S.).
  12. Carlos Santos & David Hendry & Soren Johansen, 2008. "Automatic selection of indicators in a fully saturated regression," Computational Statistics, Springer, vol. 23(2), pages 317-335, April.
  13. David Hendry, 1995. "On the interactions of unit roots and exogeneity," Economics Papers 7., Economics Group, Nuffield College, University of Oxford.
  14. Kevin D Hoover & Selva Demiralp & Stephen J Perez, 2010. "Empirical Identification of the Vector Autoregression: The Causes and Effects of U.S. M2," Working Papers 10-03, Duke University, Department of Economics.
  15. Hendry, David F., 2006. "Robustifying forecasts from equilibrium-correction systems," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 399-426.
  16. Akaike, Hirotugu, 1981. "Likelihood of a model and information criteria," Journal of Econometrics, Elsevier, vol. 16(1), pages 3-14, May.
  17. Jared Enzler & Lewis Johnson & John Paulus, 1976. "Some Problems of Money Demand," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 7(1), pages 261-282.
  18. Hendry, David F. & Ericsson, Neil R., 1991. "Modeling the demand for narrow money in the United Kingdom and the United States," European Economic Review, Elsevier, vol. 35(4), pages 833-881, May.
  19. Doornik, Jurgen A & Hendry, David F & Nielsen, Bent, 1998. " Inference in Cointegrating Models: UK M1 Revisited," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 533-72, December.
  20. Kamin, Steven B. & Ericsson, Neil R., 2003. "Dollarization in post-hyperinflationary Argentina," Journal of International Money and Finance, Elsevier, vol. 22(2), pages 185-211, April.
  21. David F. Hendry & Hans-Martin Krolzig, 1999. "Improving on 'Data mining reconsidered' by K.D. Hoover and S.J. Perez," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 202-219.
  22. Ahumada, Hildegart, 1992. "A dynamic model of the demand for currency: Argentina 1977-1988," Journal of Policy Modeling, Elsevier, vol. 14(3), pages 335-361, June.
  23. Kevin D. Hoover & Soren Johansen & Katarina Juselius, 2008. "Allowing the Data to Speak Freely: The Macroeconometrics of the Cointegrated Vector Autoregression," American Economic Review, American Economic Association, vol. 98(2), pages 251-55, May.
  24. David H. Howard, 1987. "Exchange rate regimes and macroeconomic stabilization in a developing country," International Finance Discussion Papers 314, Board of Governors of the Federal Reserve System (U.S.).
  25. Julia Campos & Neil R. Ericsson, 2000. "Constructive data mining: modeling consumers' expenditure in Venezuela," International Finance Discussion Papers 663, Board of Governors of the Federal Reserve System (U.S.).
  26. Juselius, Katarina, 1992. "Domestic and foreign effects on prices in an open economy: The case of Denmark," Journal of Policy Modeling, Elsevier, vol. 14(4), pages 401-428, August.
  27. Engle, R. & Hendry, D., 1990. "Testing Super Exogeneity And Invariance In Regression Models," Economics Series Working Papers 99100, University of Oxford, Department of Economics.
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