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Pronósticos de corto plazo en tiempo real para la actividad económica colombiana

  • Deicy J. Cristiano

    ()

  • Manuel D. Hernández

    ()

  • José David Pulido

    ()

La toma de decisiones de política económica requiere estimaciones del comportamiento de la actividad económica en tiempo real. Sin embargo, la información utilizada solo está disponible a nivel de indicadores de actividad y de encuestas de opinión, los cuales suelen tener distintas frecuencias y rezagos de publicación, además de choques idiosincráticos. En este trabajo se adaptan para la economía colombiana los esquemas de pronóstico de Camacho y Perez-Quiros (2009,2010) que producen estimaciones del crecimiento del PIB en tiempo real. El modelo de factores dinámicos adaptado involucra series de actividad de diferente frecuencia, disponibilidad y procedencia, empleadas con la información disponible en el momento de cada publicación. La evaluación de pronóstico sugiere que el modelo presenta un mejor desempeño frente a otros esquemas de referencia, y que la precisión de los pronósticos aumenta al incorporar el flujo de información en tiempo real de los indicadores de actividad.

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Paper provided by Banco de la Republica de Colombia in its series Borradores de Economia with number 724.

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Length: 20
Date of creation: Jul 2012
Handle: RePEc:bdr:borrec:724
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  1. Juan Manuel Julio & Anderson Grajales, "undated". "¿Qué nos dicen los índices de confianza?," Borradores de Economia 659, Banco de la Republica de Colombia.
  2. Herman Kamil & José David Pulido & José Luis Torres, 2010. "El IMACO": un índice mensual líder de la actividad económica en Colombia"," BORRADORES DE ECONOMIA 007129, BANCO DE LA REPÚBLICA.
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  6. repec:dgr:rugccs:200505 is not listed on IDEAS
  7. Doz, Catherine & Giannone, Domenico & Reichlin, Lucrezia, 2011. "A two-step estimator for large approximate dynamic factor models based on Kalman filtering," Journal of Econometrics, Elsevier, vol. 164(1), pages 188-205, September.
  8. Martin D.D. Evans, 2005. "Where Are We Now? Real-Time Estimates of the Macro Economy," NBER Working Papers 11064, National Bureau of Economic Research, Inc.
  9. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2008. "A Quasi Maximum Likelihood Approach for Large Approximate Dynamic Factor Models," Working Papers ECARES 2008_034, ULB -- Universite Libre de Bruxelles.
  10. Michael Pedersen, 2010. "Extracting GDP Signals From the Monthly Indicator of Economic Activity: Evidence From Chilean Real-Time Data," Working Papers Central Bank of Chile 595, Central Bank of Chile.
  11. Bouwman, Kees E. & Jacobs, Jan P.A.M., 2005. "Forecasting with real-time macroeconomic data: the ragged-edge problem and revisions," CCSO Working Papers 200505, University of Groningen, CCSO Centre for Economic Research.
  12. Kajal Lahiri & George Monokroussos, 2011. "Nowcasting US GDP: The role of ISM Business Surveys," Discussion Papers 11-01, University at Albany, SUNY, Department of Economics.
  13. Mario Forni & Marc Hallin & Lucrezia Reichlin & Marco Lippi, 2000. "The generalised dynamic factor model: identification and estimation," ULB Institutional Repository 2013/10143, ULB -- Universite Libre de Bruxelles.
  14. Philipp Maier, 2011. "Mixed Frequency Forecasts for Chinese GDP," Staff Working Papers 11-11, Bank of Canada.
  15. Jean Boivin & Serena Ng, 2003. "Are More Data Always Better for Factor Analysis?," NBER Working Papers 9829, National Bureau of Economic Research, Inc.
  16. Roberto S. Mariano & Yasutomo Murasawa, 2003. "A new coincident index of business cycles based on monthly and quarterly series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 427-443.
  17. Laura D’Amato & Lorena Garegnani & Emilio Blanco, 2011. "Using the Flow of High Frequency Information for Short Term Forecasting of Economic Activity in Argentina," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(64), pages 7-33, October -.
  18. 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.
  19. Felipe Bravo & Helmut Franken, 2001. "Un Indicador Líder del IMACEC," Working Papers Central Bank of Chile 99, Central Bank of Chile.
  20. Juan Manuel Julio, "undated". "Modeling Data Revisions," Borradores de Economia 641, Banco de la Republica de Colombia.
  21. Domenico Giannone & Lucrezia Reichlin & Saverio Simonelli, 2009. "Nowcasting Euro Area Economic Activity in Real-Time: The Role of Confidence Indicators," CSEF Working Papers 240, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
  22. Bhattacharya, Rudrani & Pandey, Radhika & Veronese, Giovanni, 2011. "Tracking India Growth in Real Time," Working Papers 11/90, National Institute of Public Finance and Policy.
  23. Maximo Camacho & Gabriel Perez-Quiros, 2009. "Ñ-STING: España Short Term INdicator of Growth," Working Papers 0912, Banco de España;Working Papers Homepage.
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