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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

    (Banco de la República de Colombia)

  • Jaime Andres Collazos Rodríguez

    (Banco de la República de Colombia)

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 900, Banco de la Republica de Colombia.
    • Handle: RePEc:bdr:borrec:900
    DOI: 10.32468/be.900
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    References listed on IDEAS

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    1. Forni, Mario, et al, 2001. "Coincident and Leading Indicators for the Euro Area," Economic Journal, Royal Economic Society, vol. 111(471), pages 62-85, May.
    2. Pilar Poncela & Eva Senra & Lya Paola Sierra, 2014. "Common dynamics of nonenergy commodity prices and their relation to uncertainty," Applied Economics, Taylor & Francis Journals, vol. 46(30), pages 3724-3735, October.
    3. Luis Fernando Melo & Fabio Nieto & Mario Ramos V., 2003. "A Leading Index For The Colombian Economic Activity," Borradores de Economia 1920, Banco de la Republica.
    4. Kim, Chang-Jin & Nelson, Charles R, 1989. "The Time-Varying-Parameter Model for Modeling Changing Conditional Variance: The Case of the Lucas Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(4), pages 433-440, October.
    5. 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.
    6. Stock, James H. & Watson, Mark, 2011. "Dynamic Factor Models," Scholarly Articles 28469541, Harvard University Department of Economics.
    7. 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.
    8. Elena Angelini & Marta Banbura & Gerhard Rünstler, 2010. "Estimating and forecasting the euro area monthly national accounts from a dynamic factor model," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(1), pages 1-22.
    9. Maximo Camacho & Gabriel Perez-Quiros, 2010. "Introducing the euro-sting: Short-term indicator of euro area growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 663-694.
    10. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    11. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    12. Mauricio Avella G�mez & Leopoldo Fergusson T., 2004. "El ciclo econ�mico - Enfoques e ilustraciones - Los ciclos econ�micos de Estados Unidos y Colombia," Borradores de Economia 2465, Banco de la Republica.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Boivin, Jean & Ng, Serena, 2006. "Are more data always better for factor analysis?," Journal of Econometrics, Elsevier, vol. 132(1), pages 169-194, May.
    18. Camacho, Maximo & Perez-Quiros, Gabriel & Poncela, Pilar, 2013. "Short-term Forecasting for Empirical Economists: A Survey of the Recently Proposed Algorithms," Foundations and Trends(R) in Econometrics, now publishers, vol. 6(2), pages 101-161, November.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. Viviana Alfonso & Luis Eduardo Arango & Fernando Arias & Guillermo Cangrejo & Jos� David Pulido, 2012. "Ciclos de negocios en Colombia, 1975-2011," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 78, pages 115-149.
    24. Herman Kamil & Jos� David Pulido & Jos� Luis Torres, 2010. "El IMACO": un �ndice mensual l�der de la actividad econ�mica en Colombia"," Borradores de Economia 7129, Banco de la Republica.
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    Cited by:

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    Keywords

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    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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