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A new method for quantification of qualitative expectations

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  • Joachim Zuckarelli

Abstract

For many research purposes it is necessary to quantify qualitative inflation or other expectations from consumer or business surveys. The standard quantification method that is widely referred to in the literature for qualitative inflation expectations is the Carlson-Parkin method, with various extensions. This study proposes a novel quantification method that connects the survey respondents’ inflation experience with forward looking information. The article outlines the new approach and applies it exemplarily to qualitative inflation survey data for the Euro area and the United States.

Suggested Citation

  • Joachim Zuckarelli, 2015. "A new method for quantification of qualitative expectations," Economics and Business Letters, Oviedo University Press, vol. 4(3), pages 123-128.
    • Handle: RePEc:ove:journl:aid:10867
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    File URL: https://reunido.uniovi.es/index.php/EBL/article/view/10867
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    1. Michel De Vroey & Pierre Malgrange, 2016. "Macroeconomics," Chapters, in: Gilbert Faccarello & Heinz D. Kurz (ed.), Handbook on the History of Economic Analysis Volume III, chapter 27, pages 372-390, Edward Elgar Publishing.
    2. Steffen Henzel & Timo Wollmershäuser, 2006. "Quantifying Inflation Expectations with the Carlson-Parkin Method: A Survey-based Determination of the Just Noticeable Difference," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(3), pages 321-352.
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    Cited by:

    1. Claveria, Oscar, 2019. "Forecasting the unemployment rate using the degree of agreement in consumer unemployment expectations," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 53(1), pages 1-3.
    2. Oscar Claveria, 2019. "Forecasting the unemployment rate using the degree of agreement in consumer unemployment expectations," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 53(1), pages 1-10, December.
    3. Oscar Claveria, 2021. "Forecasting with Business and Consumer Survey Data," Forecasting, MDPI, vol. 3(1), pages 1-22, February.
    4. repec:iab:iabjlr:v:53:i:1:p:art.3 is not listed on IDEAS

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