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Predicción de la Actividad Económica a Partir de Indicadores de las Encuestas de Opinión Empresarial: Evidencia para República Dominicana
[Forecasting Economic Activity using Manufacturing Opinion Surveys: Evidence for the Dominican Republic]

Author

Listed:
  • Jimenez Polanco, Miguel A.
  • Ramírez Escoboza, Merlym

Abstract

Manufacturing Surveys conducted by central banks, serve as a support to monetary policy decisions. This research analyzes the predictive power of indicators from EOE manufacturing survey of the Central Bank of the Dominican Republic to predict the economic cycle and to the development of macroeconomic forecasts. Additionally, we made an analysis of the indicators built from the qualitative responses of the survey and how they are related to official data. This analysis is performed by extracting the cyclical component using the Bry-Boschan (1971) approach used by the NBER for the analysis of business cycles. By doing this, the turning points of the series are identified. We estimate bivariate Vector Autoregressive to test for Granger causality in order to see if there is predictive causality in the indicators from EOE. Finally, we develop some forecasting exercises that show evidence of substantial improvements in short-term forecasts of the Monthly Economic Activity Index (IMAE), when indicators from the manufacturing survey are included. We conclude that the indicators obtained from the surveys have predictive information that can be used to model economic activity and that can serve as a support for the monetary policy decisions.

Suggested Citation

  • Jimenez Polanco, Miguel A. & Ramírez Escoboza, Merlym, 2015. "Predicción de la Actividad Económica a Partir de Indicadores de las Encuestas de Opinión Empresarial: Evidencia para República Dominicana [Forecasting Economic Activity using Manufacturing Opinion Surveys: Evidence for the Dominican Republic]," MPRA Paper 75861, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:75861
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    References listed on IDEAS

    as
    1. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1, December.
    2. repec:ecr:col027:4770 is not listed on IDEAS
    3. William R. Keeton & Michael Verba, 2004. "What can regional manufacturing surveys tell us? lessons from the Tenth District," Economic Review, Federal Reserve Bank of Kansas City, vol. 89(Q III), pages 39-70.
    4. 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.
    5. Richard Deitz & Charles Steindel, 2005. "The predictive abilities of the New York Fed's Empire State Manufacturing Survey," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 11(Jan).
    6. Matthew Harris & Raymond E. Owens & Pierre-Daniel G. Sarte, 2004. "Using manufacturing surveys to assess economic conditions," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 90(Fall), pages 65-92.
    7. Pablo Pincheira, 2014. "Predicción del Empleo Sectorial y Total en Base a Indicadores de Confianza Empresarial," Working Papers Central Bank of Chile 729, Central Bank of Chile.
    8. Timothy G. Schiller & Michael E. Trebing, 2003. "Taking the measure of manufacturing," Business Review, Federal Reserve Bank of Philadelphia, issue Q4, pages 24-37.
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    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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