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La formación de expectativas de inflación en Colombia

Author

Listed:
  • Carlos Huertas Campos
  • Eliana González Molano
  • Cristhian Ruiz Cardozo

Abstract

En este documento se analiza el mecanismo de formación de las expectativas de inflación en Colombia usando diferentes medidas de esta variable a uno y dos años. Los resultados indican que las expectativas se forman de manera adaptativa y racional. Hay evidencia que soporta la hipótesis de aprendizaje adaptativo. Las pruebas estadísticas sugieren que la meta de inflación ha ganado credibilidad y se puede considerar como una expectativa racional.

Suggested Citation

  • Carlos Huertas Campos & Eliana González Molano & Cristhian Ruiz Cardozo, 2015. "La formación de expectativas de inflación en Colombia," Borradores de Economia 12699, Banco de la Republica.
    • Handle: RePEc:col:000094:012699
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    References listed on IDEAS

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    1. Orphanides, Athanasios & Williams, John C., 2007. "Robust monetary policy with imperfect knowledge," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1406-1435, July.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    3. 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.
    4. George W. Evans & Seppo Honkapohja & Noah Williams, 2010. "Generalized Stochastic Gradient Learning," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(1), pages 237-262, February.
    5. Athanasios Orphanides & John C. Williams, 2006. "Monetary Policy with Imperfect Knowledge," Journal of the European Economic Association, MIT Press, vol. 4(2-3), pages 366-375, 04-05.
    6. Ece Oral & Hülya Saygili & Mesut Saygili & S. Özge Tuncel, 2011. "Inflation Expectations in Turkey: Evidence from Panel Data," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2011(1), pages 5-28.
    7. Thomas Jonsson & Pär Österholm, 2012. "The properties of survey-based inflation expectations in Sweden," Empirical Economics, Springer, vol. 42(1), pages 79-94, February.
    8. George W. Evans & Seppo Honkapohja, 2003. "Expectations and the Stability Problem for Optimal Monetary Policies," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(4), pages 807-824.
    9. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    10. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    11. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    12. Pfajfar, Damjan & Santoro, Emiliano, 2010. "Heterogeneity, learning and information stickiness in inflation expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 426-444, September.
    13. Souleles, Nicholas S, 2004. "Expectations, Heterogeneous Forecast Errors, and Consumption: Micro Evidence from the Michigan Consumer Sentiment Surveys," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(1), pages 39-72, February.
    14. Friedrich Heinemann & Katrin Ullrich, 2006. "The Impact of EMU on Inflation Expectations," Open Economies Review, Springer, vol. 17(2), pages 175-195, April.
    15. Branch, William A. & Evans, George W., 2006. "A simple recursive forecasting model," Economics Letters, Elsevier, vol. 91(2), pages 158-166, May.
    16. George W. Evans, 2001. "Expectations in Macroeconomics. Adaptive versus Eductive Learning," Revue Économique, Programme National Persée, vol. 52(3), pages 573-582.
    17. Gerberding, Christina, 2001. "The information content of survey data on expected price developments for monetary policy," Discussion Paper Series 1: Economic Studies 2001,09, Deutsche Bundesbank.
    18. Martin Fukac, 2008. "Heterogeneous Expectations, Adaptive Learning,and Forward-Looking Monetary Policy," Reserve Bank of New Zealand Discussion Paper Series DP2008/07, Reserve Bank of New Zealand.
    19. Bank for International Settlements, 2010. "Monetary policy and the measurement of inflation: prices, wages and expectations," BIS Papers, Bank for International Settlements, number 49.
    20. Henry Sabrowski, 2008. "Inflation Expectation Formation of German Consumers: Rational or Adaptive?," Working Paper Series in Economics 100, University of Lüneburg, Institute of Economics.
    21. Weber, Anke, 2007. "Heterogeneous expectations, learning and European inflation dynamics," Discussion Paper Series 1: Economic Studies 2007,16, Deutsche Bundesbank.
    22. Olivier Jean Blanchard & Stanley Fischer, 1989. "Lectures on Macroeconomics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262022834, April.
    23. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    24. Hakan Kara & Hande Kucuk-Tuğer, 2010. "Inflation expectations in Turkey: learning to be rational," Applied Economics, Taylor & Francis Journals, vol. 42(21), pages 2725-2742.
    25. González-Molano, Eliana Rocío & Jalil-Barney, Munir Andrés & Romero-Chamorro, José Vicente, 2011. "Inflación y expectativas de inflación en Colombia," Chapters, in: López Enciso, Enrique & Ramírez Giraldo, María Teresa (ed.), Formación de precios y salarios en Colombia T.2, volume 2, chapter 13, pages 491-519, Banco de la Republica de Colombia.
    26. Keane, Michael P & Runkle, David E, 1990. "Testing the Rationality of Price Forecasts: New Evidence from Panel Data," American Economic Review, American Economic Association, vol. 80(4), pages 714-735, September.
    27. Fabia A de Carvalho & Mauricio S. Bugarin, 2006. "Inflation Expectations in Latin America," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 101-145, January.
    28. Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
    29. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    30. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    31. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    32. John A. Carlson & Neven T. Valev, 2002. "A Disinflation Trade-Off: Speed Versus Final Destination," Economic Inquiry, Western Economic Association International, vol. 40(3), pages 450-456, July.
    33. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    34. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
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    Cited by:

    1. Romero, José Vicente & Naranjo-Saldarriaga, Sara, 2024. "Weather shocks and inflation expectations in semi-structural models," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(2).

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    More about this item

    Keywords

    Aprendizaje adaptativo; encuestas; expectativas; inflación.;
    All these keywords.

    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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