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A Leading Index for the Colombian Economic Activity

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  • Luis Fernando Melo
  • Fabio Nieto
  • Mario Ramos

Abstract

In this paper,we propose a methodology for calculating a leading index of the economic activity based on a modification of Stock and Watson's (1989, 1991, 1992) approach. We use Kalman filter techniques for estimating the state space representation of the leading index model. The methodology is applied to the Colombian economy and the resulting index leads six months the Melo et al. (2002) coincident index (in semi-annual growt rates). As an intermediate result, we also develop an updating process of the coincident index.

Suggested Citation

  • Luis Fernando Melo & Fabio Nieto & Mario Ramos, 2003. "A Leading Index for the Colombian Economic Activity," Borradores de Economia 243, Banco de la Republica de Colombia.
    • Handle: RePEc:bdr:borrec:243
    DOI: 10.32468/be.243
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    1. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    2. Fabio H. Nieto, 2003. "Identifiability Of Acoincident Index Model For The Colombian Economy," Borradores de Economia 2799, Banco de la Republica.
    3. Luis Fernando Melo V. & Fabio H. Nieto & Carlos Esteban Posada P. & Yanneth Rocío Betancourt G. & Juan David Barón, 2001. "Un Índice Coincidente para la Actividad Económico de Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 19(40), pages 46-88, December.
    4. Filippo Altissimo & Domenico J. Marchetti & Gian Paolo Oneto, 2000. "The Italian Business Cycle: Coincident and Leading Indicators and Some Stylized Facts," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 59(2), pages 147-220, September.
    5. María Ripoll & Martha Misas & Enrique López, 1995. "Una Descripción del Ciclo Industrial en Colombia," Borradores de Economia 033, Banco de la Republica de Colombia.
    6. Piet De Jong, 1991. "Stable Algorithms For The State Space Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 12(2), pages 143-157, March.
    7. Philip Hans Franses & Bart Hobijn, 1997. "Critical values for unit root tests in seasonal time series," Journal of Applied Statistics, Taylor & Francis Journals, vol. 24(1), pages 25-48.
    8. James H. Stock & Mark W. Watson, 1988. "A Probability Model of The Coincident Economic Indicators," NBER Working Papers 2772, National Bureau of Economic Research, Inc.
    9. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409, National Bureau of Economic Research, Inc.
    10. Fabio H. Nieto, 2003. "Identifiability of a Coincident Index Model for the Colombian Economy," Borradores de Economia 242, Banco de la Republica de Colombia.
    11. Luis Fernando Melo & Fabio H. Nieto & Carlos Esteban Posada & Yanneth Rocío Betancourt, 2001. "Un Índice Coincidente para la Actividad Económica Colombiana," Borradores de Economia 3678, Banco de la Republica.
    12. Felipe Bravo & Helmut Franken, 2001. "Un Indicador Líder del IMACEC," Working Papers Central Bank of Chile 99, Central Bank of Chile.
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    Cited by:

    1. Lya Paola Sierra Suárez & Jaime Andrés Collazos-Rodríguez & Johana Sanabria-Domínguez & Pavel Vidal-Alejandro, 2017. "La construcción de indicadores de la actividad económica: una revisión bibliográfica," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 36(64), pages 79-107, October.
    2. Herman Kamil & José David Pulido & José Luis Torres, 2010. "El "IMACO": un índice mensual de la actividad económica en Colombia," Monetaria, CEMLA, vol. 0(4), pages 495-548, octubre-d.
    3. Desirée Castrillo R. & Carlos Mora G. & Carlos Torres G., 2010. "Mecanismos de transmisión de la política monetaria en Costa Rica: periodo 1991-2007," Monetaria, CEMLA, vol. 0(4), pages 549-599, octubre-d.
    4. Luis E Arango & Luz Adriana Flórez & Angélica M Arosemena, 2005. "El Tramo Corto de la Estructura a Plazo como Predictor de Expectativas de la Actividad Económica en Colombia," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 42(125), pages 79-101.
    5. Pavel Vidal Alejandro & Lya Paola Sierra Suárez & Johana Sanabria Dominguez & Jaime Andres Collazos Rodríguez, 2015. "Indicador mensual de actividad económica (IMAE) para el Valle del Cauca," Borradores de Economia 13610, Banco de la Republica.
    6. Juan Carlos Caro & Byron Idrovo, 2010. "Metodología para generar Indicadores de Actividad en Infraestructura y Vivienda," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 47(136), pages 273-303.
    7. Luis Eduardo Arango & Luz Adriana Flórez, 2004. "Expectativas De Actividad Económica En Colombia Y Estructura A Plazo: Un Poco Más De Evidencia," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 22(47), pages 126-160, December.
    8. Luis Fernando Melo Velandia & José Fernando Moreno Gutiérrez, 2010. "Actualización de la descomposición del BEI cuando se dispone de nueva información," Borradores de Economia 7333, Banco de la Republica.
    9. Marco Antonio Laguna Vargas, 2010. "Características de la inflación importada en Bolivia: ¿puede contenerse con política cambiaria?," Monetaria, CEMLA, vol. 0(4), pages 463-493, octubre-d.
    10. Enrique López Enciso, 2019. "Dos tradiciones en la medición del ciclo: historia general y desarrollos en Colombia," Tiempo y Economía, Universidad de Bogotá Jorge Tadeo Lozano, vol. 6(1), pages 77-142, February.

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    More about this item

    Keywords

    Coincident indexes; leading indexes; state space models.;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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