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A Method of Exploring the Mechanism of Inflationary Expectations Based on Qualitative Survey Data

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  • Kanoh, Satoru
  • Li, Zhi Dong

Abstract

The objective of this article is to propose a method of exploring the mechanism of expectation formation based on qualitative survey data. The survey data are regarded as a sample from a multinomial distribution whose parameters are time-variant functions of inflation expectations. The parameters are estimated using a Bayesian recursive approach, which is a generalization of the Kalman filtering technique. For illustrative purposes, the method is applied to Japanese data. One notable finding from the empirical analysis is that the expectation formation process of Japanese enterprises has varied greatly over time.

Suggested Citation

  • Kanoh, Satoru & Li, Zhi Dong, 1990. "A Method of Exploring the Mechanism of Inflationary Expectations Based on Qualitative Survey Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(4), pages 395-403, October.
  • Handle: RePEc:bes:jnlbes:v:8:y:1990:i:4:p:395-403
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    Cited by:

    1. Lahiri, Kajal & Zhao, Yongchen, 2015. "Quantifying survey expectations: A critical review and generalization of the Carlson–Parkin method," International Journal of Forecasting, Elsevier, vol. 31(1), pages 51-62.
    2. Hugo Oliveros C., 1999. "Expectativas:Una Aproximación A Través De Modelos De Escogencia Discreta," Borradores de Economia 2697, Banco de la Republica.
    3. Michael Lechner & Friedhelm Pfeiffer & Gert Wagner, 1991. "Die Arbeitsmarkterwartung in der DDR kurz vor der Währungsunion," Discussion Papers of DIW Berlin 22, DIW Berlin, German Institute for Economic Research.
    4. Hugo Oliveros, 1999. "Expectativas: Una Aproximación a Través de Modelos de Escogencia Discreta," Borradores de Economia 137, Banco de la Republica de Colombia.
    5. Kajal Lahiri & Yongchen Zhao, 2013. "Quantifying Heterogeneous Survey Expectations: The Carlson-Parkin Method Revisited," Discussion Papers 13-08, University at Albany, SUNY, Department of Economics.

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