IDEAS home Printed from https://ideas.repec.org/p/col/000103/013858.html
   My bibliography  Save this paper

Un índice coincidente para Medellín

Author

Listed:
  • Gerardo Alberto Villa Durán

Abstract

En este artículo se estudia la actividad económica de Medellín entre 1984 y 2007 a través de un indicador sintético, un índice coincidente, que resume la evolución de la actividad en forma agregada. El indicador mensual compuesto se construye siguiendo la metodología propuesta por Stock y Watson, y en ese sentido no registra ninguna innovación. Siguiendo el mismo procedimiento utilizado en el caso de Medellín se construye un índice para Colombia y se compara con el de Medellín. Se utilizan como variables el número total de trabajadores, un indicador del comercio al por menor, el ingreso mediano de los trabajadores y el consumo de energía eléctrica en Medellín. Para Colombia, la masa salarial, el consumo de energía eléctrica en el sistema interconectado nacional; el índice de comercio al por menor y, finalmente, los ingresos medianos. El estudio constituye una interpretación de la economía de la ciudad construida en el contexto de indicadores cíclicos, sobre la base de un modelo estadístico.

Suggested Citation

  • Gerardo Alberto Villa Durán, 2014. "Un índice coincidente para Medellín," Ensayos Sobre Economía Regional (ESER) 13858, Banco de la República - Economía Regional.
  • Handle: RePEc:col:000103:013858
    DOI: 10.32468/eser.58
    as

    Download full text from publisher

    File URL: https://doi.org/10.32468/eser.58
    Download Restriction: no

    File URL: https://libkey.io/10.32468/eser.58?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Lisandro Abrego & Pär Österholm, 2010. "External Linkages and Economic Growth in Colombia: Insights from a Bayesian VAR Model," The World Economy, Wiley Blackwell, vol. 33(12), pages 1788-1810, December.
    2. Christian Gillitzer & Jonathan Kearns & Anthony Richards, 2005. "The Australian Business Cycle: A Coincident Indicator Approach," RBA Annual Conference Volume (Discontinued), in: Christopher Kent & David Norman (ed.),The Changing Nature of the Business Cycle, Reserve Bank of Australia.
    3. Diebold, Francis X & Rudebusch, Glenn D, 1996. "Measuring Business Cycles: A Modern Perspective," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 67-77, February.
    4. Francisco Javier LASSO VALDERRAMA, 2002. "Nueva metodología de Encuesta de hogares. ¿Más o menos desempleados?," Archivos de Economía 3282, Departamento Nacional de Planeación.
    5. Theodore M. Crone, 2000. "A new look at economic indexes for the states in the Third District," Business Review, Federal Reserve Bank of Philadelphia, issue Nov, pages 3-14.
    Full references (including those not matched with items on IDEAS)

    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. Gerardo Alberto Villa Durán, 2014. "Un índice coincidente para Medellín," Ensayos sobre Economía Regional (ESER) 58, Banco de la Republica de Colombia.
    2. repec:col:000101:013858 is not listed on IDEAS
    3. Luke Hartigan & James Morley, 2020. "A Factor Model Analysis of the Australian Economy and the Effects of Inflation Targeting," The Economic Record, The Economic Society of Australia, vol. 96(314), pages 271-293, September.
    4. Juan José Echavarría & Andrés González, 2012. "Choques internacionales reales y financieros y su impacto sobre la economía colombiana," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 30(69), pages 14-66, December.
    5. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    6. Valentina Aprigliano & Danilo Liberati, 2021. "Using Credit Variables to Date Business Cycle and to Estimate the Probabilities of Recession in Real Time," Manchester School, University of Manchester, vol. 89(S1), pages 76-96, September.
    7. Drew Creal & Siem Jan Koopman & Eric Zivot, 2008. "The Effect of the Great Moderation on the U.S. Business Cycle in a Time-varying Multivariate Trend-cycle Model," Tinbergen Institute Discussion Papers 08-069/4, Tinbergen Institute.
    8. DAVID E. ALLEN & MICHAEL McALEER & ROBERT J. POWELL & ABHAY K. SINGH, 2018. "Non-Parametric Multiple Change Point Analysis Of The Global Financial Crisis," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-23, June.
    9. Luis Eduardo Arango & Carlos Esteban Posada, 2006. "The Time-Varying Long-Run Unemployment Rate: The Colombian Case," Borradores de Economia 389, Banco de la Republica de Colombia.
    10. Chun-Chang Lee & Chih-Min Liang & Hsing-Jung Chou, 2013. "Identifying Taiwan real estate cycle turning points- An application of the multivariate Markov-switching autoregressive Model," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 3(2), pages 1-1.
    11. Ludmila Fadejeva & Aleksejs Melihovs, 2008. "The Baltic states and Europe: common factors of economic activity," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 8(1), pages 75-96, October.
    12. Cruz-Rodríguez, Alexis, 2005. "Ciclos Económicos Sincronizados y Uniones Monetarias en Centroamérica y la República Dominicana [Business Cycles Synchronisation and Monetary Union in Central American and the Dominican Republic]," MPRA Paper 72104, University Library of Munich, Germany.
    13. Marjan Petreski, 2010. "An Overhaul of a Doctrine: Has Inflation Targeting Opened a New Era in Developing-country Peggers?," FIW Working Paper series 057, FIW.
    14. Oleg Korenok & Stanislav Radchenko, 2004. "Monetary Policy Effect on the Business Cycle Fluctuations: Output vs. Index Measures of the Cycle," Macroeconomics 0409015, University Library of Munich, Germany, revised 20 Sep 2004.
    15. Siem Jan Koopman & Joao Valle e Azevedo, 2003. "Measuring Synchronisation and Convergence of Business Cycles," Tinbergen Institute Discussion Papers 03-052/4, Tinbergen Institute.
    16. S. Boragan Aruoba & Francis X. Diebold, 2010. "Real-Time Macroeconomic Monitoring: Real Activity, Inflation, and Interactions," American Economic Review, American Economic Association, vol. 100(2), pages 20-24, May.
    17. Aruoba, S. BoraÄŸan & Diebold, Francis X. & Scotti, Chiara, 2009. "Real-Time Measurement of Business Conditions," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 417-427.
    18. Graham Elliott & Allan Timmermann, 2016. "Economic Forecasting," Economics Books, Princeton University Press, edition 1, number 10740.
    19. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    20. Jeremy J. Nalewaik, 2010. "The Income- and Expenditure-Side Estimates of U.S. Output Growth," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 41(1 (Spring), pages 71-127.
    21. Bai, Jushan, 1999. "Likelihood ratio tests for multiple structural changes," Journal of Econometrics, Elsevier, vol. 91(2), pages 299-323, August.

    More about this item

    Keywords

    Indicadores económicos de Medellín; ciclo económico Medellín; indicador sintético; índice coincidente.;
    All these keywords.

    JEL classification:

    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:col:000103:013858. 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: Banco De La República - Economía Regional (email available below). General contact details of provider: https://edirc.repec.org/data/cbcgvco.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.