IDEAS home Printed from https://ideas.repec.org/a/ioe/cuadec/v38y2001i115p291-319.html
   My bibliography  Save this article

Un Modelo de Switching para el Crecimiento en Chile

Author

Listed:
  • Christian Johnson

Abstract

This article presents a historical analysis of the Chilean monthly growth rate from 1987 to 2000, applying the Switching Regime methodology design by Hamilton (1989). Three scenarios were considered, which imply a number of parameters estimated using the

Suggested Citation

  • Christian Johnson, 2001. "Un Modelo de Switching para el Crecimiento en Chile," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 38(115), pages 291-319.
  • Handle: RePEc:ioe:cuadec:v:38:y:2001:i:115:p:291-319
    as

    Download full text from publisher

    File URL: http://www.economia.uc.cl/docs/115johna.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Rodrigo Valdés, 1998. "Efectos de la Política Monetaria en Chile," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 35(104), pages 97-125.
    2. Patricio Rojas & Eduardo López & Susana Jiménez, 1997. "Determinantes del Crecimiento y Estimación del Producto Potencial en Chile: El Rol del Comercio," Working Papers Central Bank of Chile 24, Central Bank of Chile.
    3. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    4. repec:bla:jecsur:v:13:y:1999:i:5:p:505-28 is not listed on IDEAS
    5. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    6. Hamilton, James D, 1991. "A Quasi-Bayesian Approach to Estimating Parameters for Mixtures of Normal Distributions," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(1), pages 27-39, January.
    7. Simon Potter, 1999. "Nonlinear Time Series Modelling: An Introduction," Journal of Economic Surveys, Wiley Blackwell, vol. 13(5), pages 505-528, December.
    8. Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cruz-Rodríguez, Alexis, 2004. "Un análisis del ciclo económico de la República Dominicana bajo cambios de régimen [Analysis of business cycle of the Dominican Republic using Markov Switching model]," MPRA Paper 54352, University Library of Munich, Germany.
    2. Byron Idrovo A., 2010. "¿Cuál es el crecimiento de largo plazo de la economía chilena? Una respuesta formal para una antigua pregunta," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, December.
    3. Alejandro R. Pena Sanchez, 2004. "El ciclo económico en Uruguay - Un modelo de Switching Regimes," Econometric Society 2004 Latin American Meetings 111, Econometric Society.
    4. Idrovo Aguirre, Byron & Contreras, Javier, 2009. "Un Modelo SARIMA para Predecir la Tasa de Desempleo de Chile [A model SARIMA to predict chilean unemployment]," MPRA Paper 19369, University Library of Munich, Germany, revised 17 Sep 2009.
    5. Luis E Arango & Luz Adriana Flórez & Angélica M Arosemena, 2005. "El Tramo Corto de la Estructura a Plazo como Predictor de Expectativas de la Actividad Económica en Colombia," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 42(125), pages 79-101.
    6. Idrovo Aguirre, Byron, 2006. "Estimación del spread de tasas de corto y largo plazo: Un indicador de alerta temprana [An estimation of short and long term rates spread: a leading indicator]," MPRA Paper 11116, University Library of Munich, Germany, revised 12 Mar 2007.
    7. Idrovo Aguirre, Byron, 2007. "Los Ciclos del Mercado Inmobiliario y su Relación con los Ciclos de la Economía [Housing Market Fluctuations and the Economic Cycles]," MPRA Paper 19365, University Library of Munich, Germany, revised 24 Sep 2007.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cruz-Rodríguez, Alexis, 2004. "Un análisis del ciclo económico de la República Dominicana bajo cambios de régimen [Analysis of business cycle of the Dominican Republic using Markov Switching model]," MPRA Paper 54352, University Library of Munich, Germany.
    2. Mr. Christian A Johnson, 2013. "Potential Output and Output Gap in Central America, Panama and Dominican Republic," IMF Working Papers 2013/145, International Monetary Fund.
    3. Engel, Charles, 1994. "Can the Markov switching model forecast exchange rates?," Journal of International Economics, Elsevier, vol. 36(1-2), pages 151-165, February.
    4. Sylvia Frühwirth‐Schnatter & Sylvia Kaufmann, 2006. "How do changes in monetary policy affect bank lending? An analysis of Austrian bank data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(3), pages 275-305, April.
    5. Hamilton, James D., 1996. "Specification testing in Markov-switching time-series models," Journal of Econometrics, Elsevier, vol. 70(1), pages 127-157, January.
    6. Peter Tillmann, 2003. "The Regime‐Dependent Determination of Credibility: A New Look at European Interest Rate Differentials," German Economic Review, Verein für Socialpolitik, vol. 4(4), pages 409-431, November.
    7. AKA, Bédia F., 2009. "Business Cycle And Sectoral Fluctuations: A Nonlinear Model For Côte D’Ivoire," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 9(1), pages 111-126.
    8. Michael T. Owyang, 2002. "Modeling Volcker as a non-absorbing state: agnostic identification of a Markov-switching VAR," Working Papers 2002-018, Federal Reserve Bank of St. Louis.
    9. Psaradakis, Zacharias & Sola, Martin, 1998. "Finite-sample properties of the maximum likelihood estimator in autoregressive models with Markov switching," Journal of Econometrics, Elsevier, vol. 86(2), pages 369-386, June.
    10. Yunmi Kim & Lijuan Huo & Tae-Hwan Kim, 2020. "Dealing with Markov-Switching Parameters in Quantile Regression Models," Working papers 2020rwp-166, Yonsei University, Yonsei Economics Research Institute.
    11. Ghysels, E., 1993. "A Time Series Model with Periodic Stochastic Regime Switching," Cahiers de recherche 9314, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    12. Londoño Yarce, Juan Miguel & Regúlez Castillo, Marta & Vázquez Pérez, Jesús, 2014. "An Alternative View of the US Price-Dividend Ratio Dynamics," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    13. Monica Billio & Laurent Ferrara & Dominique Guegan & Gian Luigi Mazzi, 2009. "Evaluation of Nonlinear time-series models for real-time business cycle analysis of the Euro," Documents de travail du Centre d'Economie de la Sorbonne 09053, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    14. Sean D. Campbell, 2002. "Specification Testing and Semiparametric Estimation of Regime Switching Models: An Examination of the US Short Term Interest Rate," Working Papers 2002-26, Brown University, Department of Economics.
    15. Kim, Chang-Jin & Nelson, Charles R, 2001. "A Bayesian Approach to Testing for Markov-Switching in Univariate and Dynamic Factor Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 989-1013, November.
    16. Simon Potter, 1999. "Nonlinear Time Series Modelling: An Introduction," Journal of Economic Surveys, Wiley Blackwell, vol. 13(5), pages 505-528, December.
    17. Gross, Marco & Binder, Michael, 2013. "Regime-switching global vector autoregressive models," Working Paper Series 1569, European Central Bank.
    18. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working Papers 1210, University of Nevada, Las Vegas , Department of Economics.
    19. Aliyu, Shehu Usman Rano, 2020. "What have we learnt from modelling stock returns in Nigeria: Higgledy-piggledy?," MPRA Paper 110382, University Library of Munich, Germany, revised 06 Jun 2021.
    20. Hendricks, Torben W. & Kempa, Bernd, 2009. "The credit channel in U.S. economic history," Journal of Policy Modeling, Elsevier, vol. 31(1), pages 58-68.

    More about this item

    Keywords

    Growth; monetary policy; algorithm EM; optimization;
    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ioe:cuadec:v:38:y:2001:i:115:p:291-319. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jaime Casassus (email available below). General contact details of provider: https://edirc.repec.org/data/iepuccl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.