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Índice De Atividade Econômica: Os Modelos De Filtro De Kalman E Box-Jenkins Comparados

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  • Vamerson Schwingel Ribeiro
  • Joilson Dias

Abstract

This paper has as objective to build a composite economic activity index for the local economy, created as form of measuring the economic activity. We use the factor analysis technique to determinate the components and their weights. This local index is then compared to national ones. As a result, the index behaves nicely as a local coincident index of the economic activities. Two techniques are used in their forecast; the first was the Kalman Filter and the second one the Box-Jenkins model. The presence of outliers required that we use a new technique in order the coefficients of the Kalman Filter model to be stable. The two techniques are then compared using a statistic test developed by Diebold and Mariano (1995). As a final result, the two models' forecasting are the same.

Suggested Citation

  • Vamerson Schwingel Ribeiro & Joilson Dias, 2004. "Índice De Atividade Econômica: Os Modelos De Filtro De Kalman E Box-Jenkins Comparados," Anais do XXXII Encontro Nacional de Economia [Proceedings of the 32nd Brazilian Economics Meeting] 103, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    • Handle: RePEc:anp:en2004:103
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    File URL: http://www.anpec.org.br/encontro2004/artigos/A04A103.pdf
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    References listed on IDEAS

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    1. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    2. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    3. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    4. Victor Zarnowitz, 1991. "What is a Business Cycle?," NBER Working Papers 3863, National Bureau of Economic Research, Inc.
    5. Lin, Dennis K. J. & Guttman, Irwin, 1993. "Handling spuriosity in the Kalman filter," Statistics & Probability Letters, Elsevier, vol. 16(4), pages 259-268, March.
    6. Spacov, Andrei Dudus & Duarte, Angelo José Mont'Alverne & Issler, João Victor, 2004. "Indicadores coincidentes de atividade econômica e uma cronologia de recessões para o Brasil," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 527, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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