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Heterogeneidad de los Índices de Producción Sectoriales de la Industria Colombiana

Author

Listed:
  • Davinson Stev Abril Salcedo

    (Universidad Nacional)

  • Luis Fernando Melo Velandia

    (Banco de la República de Colombia)

  • Daniel Parra Amado

    (Banco de la República de Colombia)

Abstract

En este documento se cuantifican medidas estadísticas sobre el comportamiento de los índices de producción industrial sectoriales en Colombia, las cuales permiten caracterizar su heterogeneidad para el período 1990 - 2014. Dentro de los resultados más sobresalientes se destacan: i) existen cambios en las tasas de las expansión y en la volatilidad a nivel sectorial entre décadas, ii) todos los sectores estudiados tienen por lo menos un quiebre estructural, iii) la mayoría de industrias se ven afectadas por los efectos calendario de Semana Santa y días festivos, excepto por la refinación de petróleo, las sustancias químicas y vidrio, y iv) el ciclo económico de gran parte de las industrias se encuentra más vinculado al ciclo de la demanda externa que de la interna, aunque ambos son factores relevantes en la explicación del ciclo industrial sectorial. Los resultados obtenidos en el presente estudio apoyan la presencia de heterogeneidad sectorial dentro de la industria colombiana.

Suggested Citation

  • Davinson Stev Abril Salcedo & Luis Fernando Melo Velandia & Daniel Parra Amado, 2015. "Heterogeneidad de los Índices de Producción Sectoriales de la Industria Colombiana," Borradores de Economia 888, Banco de la Republica de Colombia.
    • Handle: RePEc:bdr:borrec:888
    DOI: 10.32468/be.888
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    References listed on IDEAS

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    1. Harding, Don & Pagan, Adrian, 2002. "Dissecting the cycle: a methodological investigation," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 365-381, March.
    2. Santiago Cajiao Raigosa & Luis Fernando Melo Velandia & Daniel Parra Amado, 2014. "Pronósticos para una economía menos volátil: el caso colombiano," Coyuntura Económica, Fedesarrollo, December.
    3. Achim Zeileis, 2005. "A Unified Approach to Structural Change Tests Based on ML Scores, F Statistics, and OLS Residuals," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 445-466.
    4. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    5. Carlos Medina & Christian M. Posso & Jorge A.Tamayo & Emma Monsalve, 2012. "Dinámica de la Demanda Laboral en la Industria Manufacturera Colombiana 1993-2009: una Estimación Panel VAR," Borradores de Economia 9372, Banco de la Republica.
    6. Juan Esteban Carranza & Stefany Moreno, 2013. "Tamaño y estructura vertical de la cadena de producción industrial colombiana desde 1990," Borradores de Economia 751, Banco de la Republica de Colombia.
    7. Ploberger, Werner & Kramer, Walter, 1992. "The CUSUM Test with OLS Residuals," Econometrica, Econometric Society, vol. 60(2), pages 271-285, March.
    8. Villarreal, Francisco G., 2005. "Elementos teóricos del ajuste estacional de series económicas utilizando X-12-ARIMA y TRAMO-SEATS," Estudios Estadísticos 4741, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    9. Cochrane, John H, 1988. "How Big Is the Random Walk in GNP?," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 893-920, October.
    10. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    11. Juan José Echavarría & Mauricio Villamizar & colaboración Juanita González, 2006. "El Proceso Colombiano de Desindustrialización," Borradores de Economia 361, Banco de la Republica de Colombia.
    12. Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1, March.
    13. Gerhard Bry & Charlotte Boschan, 1971. "Foreword to "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs"," NBER Chapters, in: Cyclical Analysis of Time Series: Selected Procedures and Computer Programs, pages -1, National Bureau of Economic Research, Inc.
    14. Medina-Durango, Carlos Alberto & Posso Suárez, Christian Manuel & Tamayo, Jorge A. & Monsalve, Emma, 2012. "Dinámica de la demanda laboral en la industria manufacturera colombiana 1993-2009 : una estimación panel VAR," Chapters, in: Arango-Thomas, Luis Eduardo & Hamann-Salcedo, Franz Alonso (ed.), El mercado de trabajo en Colombia : hechos, tendencias e instituciones, chapter 7, pages 289-330, Banco de la Republica de Colombia.
    15. Arango-Thomas, Luis Eduardo & Hamann-Salcedo, Franz Alonso (ed.), 2012. "El mercado de trabajo en Colombia : hechos, tendencias e instituciones," Books, Banco de la Republica de Colombia, number 2012-12, July.
    16. Luis Fernando Melo Velandia & Daniel Parra Amado, 2014. "Efectos calendario sobre la producción industrial en Colombia," Borradores de Economia 820, Banco de la Republica de Colombia.
    17. Ploberger, Werner & Kramer, Walter & Kontrus, Karl, 1989. "A new test for structural stability in the linear regression model," Journal of Econometrics, Elsevier, vol. 40(2), pages 307-318, February.
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    More about this item

    Keywords

    Efectos calendario; descomposición de series; ciclos económicos.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production

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