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Indicador mensual de actividad económica (IMAE) para el Valle del Cauca

Author

Listed:
  • Pavel Vidal Alejandro

    ()

  • Lya Paola Sierra Suárez

    ()

  • Johana Sanabria Dominguez

    ()

  • Jaime Andres Collazos Rodríguez

    ()

Abstract

En el presente trabajo se lleva a un contexto regional la metodología de Stock y Watson (1991), usualmente aplicada en la construcción de indicadores de actividad económicas a nivel macroeconómico. A partir de siete series históricas claves del departamento del Valle del Cauca en Colombia, en el período enero del 2000 a marzo de 2015, se construyó un indicador coincidente mensual de actividad económica (IMAE). Para ello se estimó, mediante el filtro de Kalman, un factor común a todas las variables empleando la metodología de los modelos factoriales dinámicos. El factor común estimado se ajustó a los datos anuales del crecimiento del PIB y luego se suavizó mediante un modelo estructural univariante de series temporales. Se obtiene así un indicador mensual que permite disponer de información en tiempo real sobre el estado de la economía del departamento, el cual sigue un patrón cíclico con una periodicidad promedio de cuatro años y 10 meses.

Suggested Citation

  • 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 013610, BANCO DE LA REPÚBLICA.
  • Handle: RePEc:col:000094:013610
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    References listed on IDEAS

    as
    1. Luis Fernando Melo & Fabio Nieto & Mario Ramos V., 2003. "A Leading Index For The Colombian Economic Activity," BORRADORES DE ECONOMIA 001920, BANCO DE LA REPÚBLICA.
    2. Mauricio Avella & Leopoldo Fergusson, 2004. "El Ciclo Económico Enfoques e Ilustraciones Los Ciclos Económicos de Estados Unidos y Colombia," Borradores de Economia 284, Banco de la Republica de Colombia.
    3. Luis Eduardo Arango & Fernando Arias & Luz Adriana Flórez & Munir Jalil, 2008. "Cronología de los ciclos de negocios recientes en Colombia," Revista Lecturas de Economía, Universidad de Antioquia - CIE, June.
    4. Jorge Luis Hurtado Guarín & Luis Fernando Melo Velandia, 2010. "Una metodología multivariada de desagregación temporal," Borradores de Economia 586, Banco de la Republica de Colombia.
    5. Gupta, Rangan & Kabundi, Alain, 2011. "A large factor model for forecasting macroeconomic variables in South Africa," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1076-1088, October.
    6. Aruoba, S. BoraÄŸan & Diebold, Francis X. & Scotti, Chiara, 2009. "Real-Time Measurement of Business Conditions," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 417-427.
    7. Herman Kamil & José David Pulido & José Luis Torres, 2010. "El "IMACO": un índice mensual de la actividad económica en Colombia," Monetaria, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(4), pages 495-548, octubre-d.
    8. Filippo Altissimo & Riccardo Cristadoro & Mario Forni & Marco Lippi & Giovanni Veronese, 2010. "New Eurocoin: Tracking Economic Growth in Real Time," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 1024-1034, November.
    9. 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.
    10. Christian Schumacher, 2007. "Forecasting German GDP using alternative factor models based on large datasets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(4), pages 271-302.
    11. Andrew C. Harvey & Thomas M. Trimbur, 2003. "General Model-Based Filters for Extracting Cycles and Trends in Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 244-255, May.
    12. Vidal Alejandro, Pavel & Fundora Fernández, Annia, 2008. "Trade-growth relationship in Cuba: estimation using the Kalman filter," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    13. 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.
    14. Herman Kamil & Jose David Pulido & Jose Luis Torres, 2010. "El "IMACO": un índice mensual líder de la actividad económica en Colombia," Borradores de Economia 609, Banco de la Republica de Colombia.
    15. Martha Misas A. & Marla Ripoll N. & Enrique López E., 1995. "Una Descripción Del Ciclo Industrial En Colombia," BORRADORES DE ECONOMIA 003707, BANCO DE LA REPÚBLICA.
    16. Boivin, Jean & Ng, Serena, 2006. "Are more data always better for factor analysis?," Journal of Econometrics, Elsevier, vol. 132(1), pages 169-194, May.
    17. Stock, James H. & Watson, Mark, 2011. "Dynamic Factor Models," Scholarly Articles 28469541, Harvard University Department of Economics.
    18. Megna, Robert & Xu, Qiang, 2003. "Forecasting the New York State economy: The coincident and leading indicators approach," International Journal of Forecasting, Elsevier, vol. 19(4), pages 701-713.
    19. Thomas J. Sargent & Christopher A. Sims, 1977. "Business cycle modeling without pretending to have too much a priori economic theory," Working Papers 55, Federal Reserve Bank of Minneapolis.
    20. Victor Gómez & Agustín Maravall, 1996. "Programs TRAMO and SEATS, Instruction for User (Beta Version: september 1996)," Working Papers 9628, Banco de España;Working Papers Homepage.
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    Keywords

    Indicador; Modelo Factorial Dinámico; Filtro de Kalman; Valle del Cauca; Regional;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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