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El "IMACO": un índice mensual líder de la actividad económica en Colombia

  • Herman Kamil

    ()

  • Jose David Pulido

    ()

  • Jose Luis Torres

    ()

En este trabajo se describe la construcción de un nuevo indicador mensual líder de la actividad económica en Colombia (IMACO). El procedimiento se basa en un algoritmo de búsqueda heurístico que identifica siete variables líderes del nivel de actividad, que anticipan los movimientos del PIB con cinco meses de adelanto y una correlación del 93%. Asimismo, el IMACO tiene otras propiedades predictivas deseables: anticipa los puntos de quiebre del ciclo económico colombiano sin arrojar señales falsas, y minimiza los errores de pronóstico sobre el crecimiento del PIB. Dada su simplicidad y bajo costo computacional, el IMACO provee una herramienta para el seguimiento continuo de la coyuntura y el diseño de la política económica, que puede ser replicado tanto para otros agregados macroeconómicos en Colombia así como en otros países de la región.

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Paper provided by Banco de la Republica de Colombia in its series Borradores de Economia with number 609.

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Handle: RePEc:bdr:borrec:609
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  1. Michael Pedersen, 2009. "Un indicador líder compuesto para la actividad económica en Chile," Monetaria, Centro de Estudios Monetarios Latinoamericanos, vol. 0(2), pages 181-208, abril-jun.
  2. Lucrezia Reichlin & Mario Forni & Marc Hallin & Marco Lippi, 2001. "Coincident and leading indicators for the Euro area," ULB Institutional Repository 2013/10137, ULB -- Universite Libre de Bruxelles.
  3. Luis Fernando Melo & Fabio H. Nieto & Carlos Esteban Posada & Yanneth Rocío Betancourt, 2001. "Un Índice Coincidente para la Actividad Económica Colombiana," BORRADORES DE ECONOMIA 003678, BANCO DE LA REPÚBLICA.
  4. Roberto Tatiwa Ferreira & Herman Bierens & Ivan Castelar, 2005. "Forecasting Quarterly Brazilian GDP Growth Rate With Linear and NonLinear Diffusion Index Models," Economia, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 6(3), pages 261-292.
  5. Zarnowitz, Victor & Ozyildirim, Ataman, 2006. "Time series decomposition and measurement of business cycles, trends and growth cycles," Journal of Monetary Economics, Elsevier, vol. 53(7), pages 1717-1739, October.
  6. Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1.
  7. Issler, João Victor & Notini, Hilton Hostalacio & Rodrigues, Claudia Fontoura, 2009. "Constructing Coincident and Leading Indices of Economic Activity for the Brazilian Economy," Economics Working Papers (Ensaios Economicos da EPGE) 694, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
  8. Stock, J.H. & Watson, M.W., 1989. "New Indexes Of Coincident And Leading Economic Indicators," Papers 178d, Harvard - J.F. Kennedy School of Government.
  9. Boivin, Jean & Ng, Serena, 2006. "Are more data always better for factor analysis?," Journal of Econometrics, Elsevier, vol. 132(1), pages 169-194, May.
  10. James H. Stock & Mark W. Watson, 1992. "A Procedure for Predicting Recessions With Leading Indicators: Econometric Issues and Recent Experience," NBER Working Papers 4014, National Bureau of Economic Research, Inc.
  11. Stock, James H. & Watson, Mark W., 1999. "Forecasting inflation," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October.
  12. Mario Forno & Marco Lippi & Lucrezia Reichlin & Filippo Altissimo & Antonio Bassanetti, 2003. "Eurocoin: A Real Time Coincident Indicator Of The Euro Area Business Cycle," Computing in Economics and Finance 2003 242, Society for Computational Economics.
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