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Heterogeneous and persistent inflation expectation formation

Author

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  • Carlos Segura-Rodriguez

    (Department of Economic Research, Central Bank of Costa Rica)

Abstract

I analyze which forecast method (rational, adaptative, last inflation or the BCCR’s inflation target) is used by the informants of the Encuesta mensual de expectativas de inflación y tipo de cambio of the Central Bank of Costa Rica to form their inflation expectation. Following Branch (2004) I assume that the agents decide between different methods based on thir forecast error. A logit model is used to estimate the probabilities that the agents assign to each method. Since the agents respond to the survey multiple times, I correct the estimation to incorporate the temporal dependence in the informants’ answers. The main result is that most of the informants use methods that require little information instead of forming rational expectations. Further, I present evidence that changes in the sample selection procedure have had important implications in the survey-based expectations. Therefore, it is not recommended to use them when a rational expectations indicator is required or to make intertemporal comparisons. ***Resumen: Se estudia cuál método de pronóstico (racional, adaptativo, última inflación observada o meta de inflación del BCCR) utilizan los informantes de la Encuesta mensual de expectativas de inflación y tipo de cambio implementada por el Banco Central de Costa Rica (BCCR) para formar sus expectativas de inflación. Siguiendo a Branch (2004), se supone que los agentes deciden entre los métodos de pronóstico con base en el error de pronóstico de cada uno de ellos. Debido a que los informantes son encuestados en múltiples ocasiones, se utiliza un modelo Logit que corrige por la posible dependencia temporal en las respuestas de los informantes para estimar la probabilidad asignada a cada uno de los métodos. Se concluye que los agentes forman expectativas con métodos que requieren de poca información en detrimento del método racional. Además, se evidencia que los cambios metodológicos en la selección de la muestra han influido en el valor de la expectativa de inflación. En consecuencia, no es recomendable utilizar el indicador de expectativas de la encuesta en metodologías que suponen expectativas racionales o para realizar comparaciones intertemporales.

Suggested Citation

  • Carlos Segura-Rodriguez, 2020. "Heterogeneous and persistent inflation expectation formation," Documentos de Trabajo 2006, Banco Central de Costa Rica.
  • Handle: RePEc:apk:doctra:2006
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    File URL: https://repositorioinvestigaciones.bccr.fi.cr/handle/20.500.12506/341
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    References listed on IDEAS

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    1. William A. Brock & Cars H. Hommes, 2001. "A Rational Route to Randomness," Chapters, in: W. D. Dechert (ed.), Growth Theory, Nonlinear Dynamics and Economic Modelling, chapter 16, pages 402-438, Edward Elgar Publishing.
    2. William Branch & George Evans, 2011. "Monetary policy and heterogeneous expectations," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 47(2), pages 365-393, June.
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    4. Branch, William A. & McGough, Bruce, 2010. "Dynamic predictor selection in a new Keynesian model with heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 34(8), pages 1492-1508, August.
    5. Tiziana Assenza & Te Bao & Cars Hommes & Domenico Massaro, 2014. "Experiments on Expectations in Macroeconomics and Finance," Research in Experimental Economics, in: Experiments in Macroeconomics, volume 17, pages 11-70, Emerald Group Publishing Limited.
    6. William A. Branch, 2004. "The Theory of Rationally Heterogeneous Expectations: Evidence from Survey Data on Inflation Expectations," Economic Journal, Royal Economic Society, vol. 114(497), pages 592-621, July.
    7. Hommes, Cars, 2011. "The heterogeneous expectations hypothesis: Some evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 1-24, January.
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    Keywords

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    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

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