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Metodologías semi-estructurales para estimar la Inflación básica mensual en Colombia

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Abstract

Realizamos el cálculo de varias medidas (semi-)estructurales de inflación básica mensual de Colombia, para el periodo 2000:1-2017:11, a partir de dos metodologías semi-estructurales, a saber, modelos VAR estructurales (SVAR) y modelos macroeconómicos semiestructurales de tipo Neokeynesiano. Además, se realiza una evaluación de las medidas con base en siete criterios deseables para una medida de este tipo. Los resultados de evaluación individual favorecen la medida obtenida usando modelos Neokeynesianos semi-estructurales y luego la de un SVAR con restricción de signos; así mismo, auguran buen desempeño de promedios que incluyen cuatro medidas, entre ellas dos de las propuestas en este trabajo.

Suggested Citation

  • Norberto Rodríguez-Niño & Alejandra Ramírez-Ramírez, 2018. "Metodologías semi-estructurales para estimar la Inflación básica mensual en Colombia," Borradores de Economia 1040, Banco de la Republica de Colombia.
  • Handle: RePEc:bdr:borrec:1040
    DOI: 10.32468/be.1040
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    1. Luis Fernando Melo & Franz A.Hamann, 1998. "Inflación Básica.Una Estimación Basada en Modelos VAR Estructurales," Borradores de Economia 093, Banco de la Republica de Colombia.
    2. Fank Smets, 1997. "Measuring Monetary Policy Shocks in France, Germany and Italy: The Role of The Exchange Rate," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 133(III), pages 597-616, September.
    3. Giannone, Domenico & Monti, Francesca & Reichlin, Lucrezia, 2016. "Exploiting the monthly data flow in structural forecasting," Journal of Monetary Economics, Elsevier, vol. 84(C), pages 201-215.
    4. Hernando Vargas & Andrés González & Eliana González & José Vicente Romero & José Luis Eduardo Rojas, 2010. "Assessing inflationary pressures in Colombia," BIS Papers chapters, in: Bank for International Settlements (ed.), Monetary policy and the measurement of inflation: prices, wages and expectations, volume 49, pages 129-171, Bank for International Settlements.
    5. Claudia Foroni & Massimiliano Marcellino, 2014. "Mixed‐Frequency Structural Models: Identification, Estimation, And Policy Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1118-1144, November.
    6. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    7. Quah, Danny & Vahey, Shaun P, 1995. "Measuring Core Inflation?," Economic Journal, Royal Economic Society, vol. 105(432), pages 1130-1144, September.
    8. Robert J. Gordon, 1992. "Measuring the Aggregate Price Level: Implications For Economic Performance and Policy," NBER Working Papers 3969, National Bureau of Economic Research, Inc.
    9. Andrew Binning, 2013. "Underidentified SVAR models: A framework for combining short and long-run restrictions with sign-restrictions," Working Paper 2013/14, Norges Bank.
    10. Michael F. Bryan & Stephen G. Cecchetti, 1994. "Measuring Core Inflation," NBER Chapters, in: Monetary Policy, pages 195-219, National Bureau of Economic Research, Inc.
    11. J. Sebastián Amador-Torres, 2018. "New Keynesian NAIRU and the Okun Law: An application for Colombia," Borradores de Economia 1034, Banco de la Republica de Colombia.
    12. Evans, George & Reichlin, Lucrezia, 1994. "Information, forecasts, and measurement of the business cycle," Journal of Monetary Economics, Elsevier, vol. 33(2), pages 233-254, April.
    13. Fabio C. Bagliano & Claudio Morana, 2003. "A common trends model of UK core inflation," Empirical Economics, Springer, vol. 28(1), pages 157-172, January.
    14. Fabio Bagliano & Roberto Golinelli & Claudio Morana, 2002. "Core inflation in the Euro area," Applied Economics Letters, Taylor & Francis Journals, vol. 9(6), pages 353-357.
    15. Christine Gartner & Gert Wehinger, 1998. "Core Inflation in Selected European Union Countries," Working Papers 33, Oesterreichische Nationalbank (Austrian Central Bank).
    16. repec:onb:oenbwp:y::i:33:b:1 is not listed on IDEAS
    17. Jesús Bejarano & Franz Hamann & Diego Rodríguez, 2016. "Indicador de Inflación Básica a partir de un Modelo Semi-estructural con inflación de alimentos," Borradores de Economia 935, Banco de la Republica de Colombia.
    18. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
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    More about this item

    Keywords

    Inflación básica; modelos Neo-Keynesianos semi-estructurales; SVAR; restricciones de corto y largo plazo; restricciones de signo.;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination

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