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Using Survey Data of Inflation Expectations in the Estimation of Learning and Rational Expectations Models

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  • ARTURO ORMEÑO
  • KRISZTINA MOLNÁR

Abstract

Does survey data contain useful information for estimating macroeconomic models? We address this question by using survey data of inflation expectations to estimate the New Keynesian model by Smets and Wouters () and compare its performance under rational expectations and adaptive learning. The survey information serves as an additional moment restriction and helps us to determine the learning agents' forecasting model for inflation. Adaptive learning fares similarly to rational expectations in fitting macro data, but clearly outperforms rational expectations in fitting macro and survey data simultaneously. In other words, survey data contain additional information that is not present in the macro data alone.

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  • Arturo Ormeño & Krisztina Molnár, 2015. "Using Survey Data of Inflation Expectations in the Estimation of Learning and Rational Expectations Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(4), pages 673-699, June.
  • Handle: RePEc:wly:jmoncb:v:47:y:2015:i:4:p:673-699
    DOI: 10.1111/jmcb.12224
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    2. Kuang, Pei & Mitra, Kaushik, 2016. "Long-run growth uncertainty," Journal of Monetary Economics, Elsevier, vol. 79(C), pages 67-80.
    3. F. Di Pace & K. Mitra & S. Zhang, 2021. "Adaptive Learning and Labor Market Dynamics," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(2-3), pages 441-475, March.
    4. Mele, Antonio & Molnár, Krisztina & Santoro, Sergio, 2020. "On the perils of stabilizing prices when agents are learning," Journal of Monetary Economics, Elsevier, vol. 115(C), pages 339-353.
    5. Sergey Ivashchenko & Rangan Gupta, 2017. "Near-Rational Expectations: How Far are Surveys from Rationality?," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 60(1), pages 1-27.
    6. Roberta Cardani & Alessia Paccagnini & Stelios D. Bekiros, 2017. "The Effectiveness of Forward Guidance in an Estimated DSGE Model for the Euro Area: the Role of Expectations," Working Papers 201701, School of Economics, University College Dublin.
    7. Eleni Iliopulos & Erica Perego & Thepthida Sopraseuth, 2018. "International business cycles: Information matters," THEMA Working Papers 2018-13, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    8. Volha Audzei & Sergey Slobodyan, 2018. "Sparse Restricted Perception Equilibrium," Working Papers 2018/8, Czech National Bank.
    9. Vázquez, Jesús & Aguilar, Pablo, 2021. "Adaptive learning with term structure information," European Economic Review, Elsevier, vol. 134(C).
    10. Gobbi, Lucio & Mazzocchi, Ronny & Tamborini, Roberto, 2019. "Monetary policy, de-anchoring of inflation expectations, and the “new normal”," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    11. Kortelainen, Mika & Paloviita, Maritta & Viren, Matti, 2016. "How useful are measured expectations in estimation and simulation of a conventional small New Keynesian macro model?," Economic Modelling, Elsevier, vol. 52(PB), pages 540-550.
    12. Sergey Ivashchenko & Rangan Gupta, 2017. "Near-Rational Expectations: How Far are Surveys from Rationality?," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 60(1), pages 1-27.

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    More about this item

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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