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La Inflación desde una Perspectiva Monetaria: Un Modelo P* para Colombia

Author

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  • Martha Misas
  • Enrique López
  • Luis Fernando Melo

Abstract

El objetivo de este documento es presentar un modelo monetario para el pronóstico de la inflación trimestral en Colombia. El modelo teórico que sirve como base para este ejercicio empírico se conoce en la literatura como P*. Este modelo se plantea, a finales de la década de los ochenta, como una versión formalizada de la percepción, ampliamente difundida, del origen monetario de la inflación en el largo plazo. El modelo sugiere que la desviación del dinero de su senda de largo plazo permite explicar la senda futura de la inflación. El modelo original, tal como fue concebido, supone que la velocidad de circulación del dinero, entendida ésta como la razón entre el producto nominal y el agregado monetario, es estable en el largo plazo. Sin embargo, en una época de innovaciones financieras esta exigencia no se cumple para muchos países, hecho que ha llevado a una profusa literatura que busca ofrecer soluciones plausibles para abordar el modelo y mantener su fundamento teórico esencial. En la segunda sección, que sigue a esta introducción, se presenta el modelo P* teórico, soporte de este trabajo. En la tercera sección se aborda el tema de los supuestos en que se apoya el modelo, en especial el de la estabilidad de la velocidad de circulación del dinero. Se examinan también las alternativas de corrección al modelo P* que se han presentado en la literatura. Con base en los aportes que esta discusión ofrece, en la sección cuarta se propone la aplicación de un modelo P* modificado para la economía colombiana. La estrategia utilizada permite estimar el modelo original para un tipo de agregado monetario mientras que el modelo modificado se estima para los agregados cuya velocidad no es estacionaria. La sección siguiente evalúa el desempeño en pronóstico de estos modelos entre sí mismos y frente a modelos rivales. La última sección concluye
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Suggested Citation

  • Martha Misas & Enrique López & Luis Fernando Melo, 1999. "La Inflación desde una Perspectiva Monetaria: Un Modelo P* para Colombia," Borradores de Economia 133, Banco de la Republica de Colombia.
  • Handle: RePEc:bdr:borrec:133
    DOI: 10.32468/be.133
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    1. Sean Collins & Cheryl L. Edwards, 1994. "An alternative monetary aggregate: M2 plus household holdings of bond and equity mutual funds," Proceedings, Federal Reserve Bank of St. Louis, issue Nov, pages 7-29.
    2. Lars E. O. Svensson, 2000. "Does the P* Model Provide Any Rationale for Monetary Targeting?," German Economic Review, Verein für Socialpolitik, vol. 1(1), pages 69-81, February.
    3. Luis Fernando Melo & Martha Misas, 1998. "Análisis del comportamiento de la inflación trimestral en Colombia bajo cambios de régimen: Una evidencia a través del modelo "Switching" de Hamilton," Revista de Economía del Rosario, Universidad del Rosario, November.
    4. Joseph Atta-Mensah, 1996. "The Empirical Performance of Alternative Monetary and Liquidity Aggregates," Macroeconomics 9601001, University Library of Munich, Germany.
    5. Enrique López E. & Martha Misas A., 1998. "Un examen empírico de la curva de Phillips en Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 17(34), pages 39-87, December.
    6. King, Robert G., 1988. "Money demand in the United States: A quantitative review," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 29(1), pages 169-172, January.
    7. Frederic S. Mishkin, 1990. "The Information in the Longer Maturity Term Structure about Future Inflation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(3), pages 815-828.
    8. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    9. Lee, Jim, 1999. "Alternative P* Models of Inflation Forecasts," Economic Inquiry, Western Economic Association International, vol. 37(2), pages 312-325, April.
    10. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    11. Elkin Castaño & Luis Fernando Melo, 1998. "Métodos de Combinación de Pronósticos: Una Aplicación a la Inflación Colombiana," Borradores de Economia 109, Banco de la Republica de Colombia.
    12. Lucas, Robert E., 1988. "Money demand in the United States: A quantitative review," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 29(1), pages 137-167, January.
    13. Misas Arango, Martha & Posada Posada, Carlos Esteban, 1995. "P-estrella en Colombia : un punto de vista sobre la inflacion," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 42, pages 107-132, Enero Jun.
    14. Gregory D. Hess & Charles S. Morris, 1995. "Money is what money predicts: the M* model of the price level," Research Working Paper 95-05, Federal Reserve Bank of Kansas City.
    15. Cheung, Yin-Wong & Lai, Kon S, 1993. "Finite-Sample Sizes of Johansen's Likelihood Ration Tests for Conintegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 55(3), pages 313-328, August.
    16. Goldfeld, Stephen M. & Sichel, Daniel E., 1990. "The demand for money," Handbook of Monetary Economics, in: B. M. Friedman & F. H. Hahn (ed.), Handbook of Monetary Economics, edition 1, volume 1, chapter 8, pages 299-356, Elsevier.
    17. Siklos, Pierre L, 1993. "Income Velocity and Institutional Change: Some New Time Series Evidence, 1870-1986," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 25(3), pages 377-392, August.
    18. Scott Hendry, 1995. "Long-Run Demand for M1," Macroeconomics 9511001, University Library of Munich, Germany.
    19. Fama, Eugene F & Bliss, Robert R, 1987. "The Information in Long-Maturity Forward Rates," American Economic Review, American Economic Association, vol. 77(4), pages 680-692, September.
    20. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    21. Martha Misas & Hugo Oliveros, 1997. "Cointegración, exogeneidad y Crítica de Lucas: Funciones de Demanda de Dinero en Colombia: Un ejercicio más," Borradores de Economia 075, Banco de la Republica de Colombia.
    22. Bordo, Michael D & Jonung, Lars & Siklos, Pierre L, 1997. "Institutional Change and the Velocity of Money: A Century of Evidence," Economic Inquiry, Western Economic Association International, vol. 35(4), pages 710-724, October.
    23. Joseph Atta-Mensah, 1996. "A Modified P*-Model of Inflation Based on M1," Staff Working Papers 96-15, Bank of Canada.
    24. Walter Engert & Scott Hendry, 1998. "Forecasting Inflation with the M1-VECM: Part Two," Staff Working Papers 98-6, Bank of Canada.
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    Cited by:

    1. Martha Misas Arango & Enrique López Enciso & Pablo Querubín Borrero, 2002. "La inflación en Colombia: una aproximación desde las redes neuronales," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 20(41-42), pages 143-214, June.
    2. Miguel Urrutia, 2002. "UNA VISION ALTERNATIVA: La Política Monetaria y Cambiaria en la Ültima Década," Borradores de Economia 207, Banco de la Republica de Colombia.
    3. Jesus Otero & Manuel Ramirez, 2002. "On the determinants of the inflation rate in Colombia: a disequilibrium market approach," Borradores de Investigación 3296, Universidad del Rosario.
    4. Eliana González Molano & Luis Fernando Melo Velnadia & Anderson Grajales Olarte, 2007. "Pronósticos directos de la inflación colombiana," Borradores de Economia 4247, Banco de la Republica.
    5. Andrés González & Luis Fernando Melo & Carlos Esteban Posada, 2006. "Inflación y dinero en Colombia: otro modelo P-estrella," Borradores de Economia 418, Banco de la Republica de Colombia.
    6. Otero, Jesus & Ramirez, Manuel, 2006. "Inflation before and after central bank independence: The case of Colombia," Journal of Development Economics, Elsevier, vol. 79(1), pages 168-182, February.
    7. Javier Gómez & José Darío Uribe & Hernando Vargas, 2002. "The Implementation Of Inflation Targeting In Colombia," Borradores de Economia 3603, Banco de la Republica.
    8. Sergio Clavijo, 2000. "Reflexiones Sobre Política Monetaria E "Inflación Objetivo" En Colombia," Borradores de Economia 3423, Banco de la Republica.
    9. Héctor Mauricio Nunez Amortegui, 2005. "Una evaluación de los pronósticos de inflación en Colombia bajo el esquema de inflación objetivo," Revista de Economía del Rosario, Universidad del Rosario, December.
    10. Sergio Clavijo, 2000. "Reflexiones Sobre Política Monetaria e "Inflación Objetivo" en Colombia," Borradores de Economia 141, Banco de la Republica de Colombia.

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