IDEAS home Printed from https://ideas.repec.org/p/bdr/borrec/093.html

Inflación Básica.Una Estimación Basada en Modelos VAR Estructurales

Author

Listed:
  • Luis Fernando Melo

  • Franz A.Hamann

Abstract

En este trabajo se presenta y se aplica para Colombia una técnica desarrollada por Quah y Vahey (1995) para medir la inflación básica a partir de la hipótesis de neutralidad del dinero en el largo plazo. Así, la inflación básica se define como aquella parte de la inflación observada que no tiene efectos sobre el producto real en el mediano y largo plazo. Esta definición es consistente con la idea de la existencia de una curva de Phillips vertical en el largo plazo. Dichas hipótesis se pueden incorporar como restricciones dinámicas impuestas sobre un sistema de vectores autorregresivos (VAR) y de esta forma obtener una medida de inflación básica que elimina la ambiguedad de escoger entre diferentes medidas alternativas.

Suggested Citation

  • 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.
    • Handle: RePEc:bdr:borrec:093
    DOI: 10.32468/be.93
    as

    Download full text from publisher

    File URL: https://doi.org/10.32468/be.93
    Download Restriction: no
    File URL: https://libkey.io/10.32468/be.93?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-442, October.
    2. Jurgen A. Doornik & Henrik Hansen, 2008. "An Omnibus Test for Univariate and Multivariate Normality," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 927-939, December.
    3. Runkle, David E, 1987. "Vector Autoregressions and Reality: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 454-454, October.
    4. Gregory C. Reinsel & Sung K. Ahn, 1992. "Vector Autoregressive Models With Unit Roots And Reduced Rank Structure:Estimation. Likelihood Ratio Test, And Forecasting," Journal of Time Series Analysis, Wiley Blackwell, vol. 13(4), pages 353-375, July.
    5. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 10(Win), pages 2-16.
    6. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    7. Juan Carlos Echeverry, 1996. "The Fall in Colombian Savings During the 1990s. Theory and Evidence," Borradores de Economia 061, Banco de la Republica de Colombia.
    8. Quah, Danny & Vahey, Shaun P, 1995. "Measuring Core Inflation?," Economic Journal, Royal Economic Society, vol. 105(432), pages 1130-1144, September.
    9. 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.
    10. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
    11. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    12. Alejandro López & Martha Misas & Hugo Oliveros, 1996. "Understanding Consumption in Colombia," Borradores de Economia 058, Banco de la Republica de Colombia.
    13. Lastrapes, William D & Selgin, George A, 1994. "Buffer-Stock Money: Interpreting Short-Run Dynamics Using Long-Run Restrictions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 26(1), pages 34-54, February.
    14. Matthew D. Shapiro & Mark W. Watson, 1988. "Sources of Business Cycle Fluctuations," NBER Chapters, in: NBER Macroeconomics Annual 1988, Volume 3, pages 111-156, National Bureau of Economic Research, Inc.
    15. Bernanke, Ben S., 1986. "Alternative explanations of the money-income correlation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 49-99, January.
    16. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    17. Olivier J. Blanchard & Mark W. Watson, 1986. "Are Business Cycles All Alike?," NBER Chapters, in: The American Business Cycle: Continuity and Change, pages 123-180, National Bureau of Economic Research, Inc.
    18. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    19. Johansen, Soren, 1992. "Determination of Cointegration Rank in the Presence of a Linear Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 383-397, August.
    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. Juan José Echavarría Soto & Enrique López Enciso & Martha Misas Arango, 2008. "El tipo de cambio real de equilibrio en Colombia y su desalineamiento: estimación a través de un modelo SVEC," Investigación Conjunta-Joint Research, in: Centro de Estudios Monetarios Latinoamericanos (CEMLA) (ed.), Estimación y Uso de Variables no Observables en la Región, edition 1, volume 1, chapter 12, pages 365-395, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    2. Juan José Echavarría Soto & Enrique López Enciso & Martha Misas Arango, 2008. "La tasa de cambio real de equilibrio en Colombia y su desalineamiento: estimación a través de un modelo SVEC," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 26(57), pages 282-319, December.
    3. Martha Misas Arango & Enrique L�pez, 2000. "La Utilizaci�N De La Capacidad Instalada De La Industria En Colombia: Un Nuevo Enfoque," Borradores de Economia 3096, Banco de la Republica.
    4. 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.
    5. Martha Misas A. & Enrique López E., 2000. "La utilización de la capacidad instalada de la industria en Colombia: un nuevo enfoque," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 18(38), pages 5-44, December.
    6. Luis Arango & Andres Gonzalez, 2001. "Some evidence of smooth transition nonlinearity in Colombian inflation," Applied Economics, Taylor & Francis Journals, vol. 33(2), pages 155-162.
    7. Martha Misas Arango & Enrique López Enciso & Juana Téllez Corredor & José Fernando Escobar, 2005. "La Inflación Subyacente en Colombia: Un Enfoque de Tendencias Estocásticas Comunes Asociadas a un VEC Estructural," Borradores de Economia 324, Banco de la Republica de Colombia.
    8. Martha Misas A & Enrique L�pez E, 2001. "Desequilibrios Reales En Colombia," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 19(40), pages 5-45.

    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. Keating, John W., 2000. "Macroeconomic Modeling with Asymmetric Vector Autoregressions," Journal of Macroeconomics, Elsevier, vol. 22(1), pages 1-28, January.
    2. Ericsson, Neil R & Hendry, David F & Mizon, Grayham E, 1998. "Exogeneity, Cointegration, and Economic Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 370-387, October.
    3. Gonzalo, Jesus & Ng, Serena, 2001. "A systematic framework for analyzing the dynamic effects of permanent and transitory shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 25(10), pages 1527-1546, October.
    4. Calcagnini, Giorgio & Giombini, Germana & Travaglini, Giuseppe, 2016. "Modelling energy intensity, pollution per capita and productivity in Italy: A structural VAR approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1482-1492.
    5. Buckle, Robert A. & Kim, Kunhong & Kirkham, Heather & McLellan, Nathan & Sharma, Jarad, 2007. "A structural VAR business cycle model for a volatile small open economy," Economic Modelling, Elsevier, vol. 24(6), pages 990-1017, November.
    6. Esposti, Roberto, 2002. "Public agricultural R&D design and technological spill-ins: A dynamic model," Research Policy, Elsevier, vol. 31(5), pages 693-717, July.
    7. Galadima, Mukhtar Danladi & Aminu, Abubakar Wambai, 2019. "Shocks effects of macroeconomic variables on natural gas consumption in Nigeria: Structural VAR with sign restrictions," Energy Policy, Elsevier, vol. 125(C), pages 135-144.
    8. Ireland, Peter N., 2004. "A method for taking models to the data," Journal of Economic Dynamics and Control, Elsevier, vol. 28(6), pages 1205-1226, March.
    9. Ramon Moreno, 1992. "Macroeconomic shocks and business cycles in Australia," Economic Review, Federal Reserve Bank of San Francisco, pages 34-52.
    10. Robert A Buckle & Kunhong Kim & Heather Kirkham & Nathan McLellan & Jared Sharma, 2002. "A structural VAR model of the New Zealand business cycle," Treasury Working Paper Series 02/26, New Zealand Treasury.
    11. Evans, Charles L. & Marshall, David A., 2007. "Economic determinants of the nominal treasury yield curve," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1986-2003, October.
    12. Pagan, Jose A. & Soydemir, Gokce A., 2001. "Response asymmetries in the Latin American equity markets," International Review of Financial Analysis, Elsevier, vol. 10(2), pages 175-185.
    13. Lastrapes, William D. & Selgin, George, 1995. "The liquidity effect: Identifying short-run interest rate dynamics using long-run restrictions," Journal of Macroeconomics, Elsevier, vol. 17(3), pages 387-404.
    14. Alain DeSerres & Alain Guay & Pierre St-Amant, "undated". "Estimating and Projecting Potential Output Using Structural VAR Methodology: The Case of the Mexican Economy," Staff Working Papers 95-2, Bank of Canada.
    15. Barber, Brad M. & Click, Reid W. & Darrough, Masako N., 1999. "The impact of shocks to exchange rates and oil prices on U.S. sales of American and Japanese automakers," Japan and the World Economy, Elsevier, vol. 11(1), pages 57-93, January.
    16. Pao-Lin Tien, 2009. "Using Long-Run Restrictions to Investigate the Sources of Exchange Rate Fluctuations," Wesleyan Economics Working Papers 2009-004, Wesleyan University, Department of Economics.
    17. Piyachart Phiromswad, 2014. "Measuring monetary policy with empirically grounded identifying restrictions," Empirical Economics, Springer, vol. 46(2), pages 681-699, March.
    18. Faust, Jon & Whiteman, Charles H., 1997. "General-to-specific procedures for fitting a data-admissible, theory-inspired, congruent, parsimonious, encompassing, weakly-exogenous, identified, structural model to the DGP: A translation and criti," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 47(1), pages 121-161, December.
    19. Kilian, Lutz & Ivanov, Ventzislav, 2001. "A Practitioner's Guide to Lag-Order Selection for Vector Autoregressions," CEPR Discussion Papers 2685, C.E.P.R. Discussion Papers.
    20. Keating, John W., 1996. "Structural information in recursive VAR orderings," Journal of Economic Dynamics and Control, Elsevier, vol. 20(9-10), pages 1557-1580.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:bdr:borrec:093. 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: Clorith Angélica Bahos Olivera (email available below). General contact details of provider: https://edirc.repec.org/data/brcgvco.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.