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El Dinero como Indicador Líder

Author

Listed:
  • Se Kyu Choi-Ha
  • Luis Felipe Lagos

    (Instituto de Economía)

Abstract

For policy makers and business cycles analysts is important to count on variables that anticipate points of inflection in economic activity. This paper studies aggregate real money balances as leader indicator of the economic activity based on a Probit mo

Suggested Citation

  • Se Kyu Choi-Ha & Luis Felipe Lagos, 2003. "El Dinero como Indicador Líder," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 40(120), pages 259-283.
    • Handle: RePEc:ioe:cuadec:v:40:y:2003:i:120:p:259-283
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    File URL: http://www.economia.uc.cl/docs/120lagoa.pdf
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    References listed on IDEAS

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    3. Friedman, Benjamin M. & Kuttner, Kenneth N., 1993. "Another look at the evidence on money-income causality," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 189-203.
    4. Christoffersen, Peter F & Diebold, Francis X, 1998. "Cointegration and Long-Horizon Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 450-458, October.
    5. Raphael Bergoeing & Raimundo Soto, 2005. "Testing Real Business Cycle Models in a Emerging Economy," Central Banking, Analysis, and Economic Policies Book Series, in: Rómulo A. Chumacero & Klaus Schmidt-Hebbel & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (S (ed.),General Equilibrium Models for the Chilean Economy, edition 1, volume 9, chapter 7, pages 221-260, Central Bank of Chile.
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    Cited by:

    1. Pablo García, & Rodrigo O. Valdés, 2004. "Monetarism Beyond M1A," Working Papers Central Bank of Chile 262, Central Bank of Chile.

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    More about this item

    Keywords

    Money; leading indicator; probit model; granger-type casuality tests; cointegration;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General

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