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Learning about Housing Cost: Survey Evidence from the German House Price Boom

Author

Listed:
  • Fabian Kindermann
  • Julia Le Blanc
  • Monika Piazzesi
  • Martin Schneider
Abstract
This paper uses new household survey data to study expectation formation during the recent housing boom in Germany. The cross section of forecasts depends on only two household characteristics: location and tenure. The average household in a region responds to local conditions but underpredicts local price growth. Renters make on average higher and hence more accurate forecasts than owners, although their forecasts are more dispersed and their mean squared forecast errors are higher. A quantitative model of learning about housing cost can match these facts. It emphasizes the unique information structure of housing among asset markets: renters who do not own the asset are relatively well informed about its cash flow, since they pay for housing services that owners simply consume. Renters then make more accurate forecasts in a boom driven by an increase in rents and recovery from a financial crisis.

Suggested Citation

  • Fabian Kindermann & Julia Le Blanc & Monika Piazzesi & Martin Schneider, 2021. "Learning about Housing Cost: Survey Evidence from the German House Price Boom," NBER Working Papers 28895, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:28895
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    References listed on IDEAS

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    1. The ECB's New Strategy: Codifying Existing Practice . . . plus
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2021-08-16 11:00:01

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    Cited by:

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    2. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Studying Information Acquisition in the Field: A Practical Guide and Review," CEBI working paper series 21-15, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    3. Schnorpfeil, Philip & Weber, Michael & Hackethal, Andreas, 2023. "Households' response to the wealth effects of inflation," SAFE Working Paper Series 400, Leibniz Institute for Financial Research SAFE.
    4. Cosmin L. Ilut & Martin Schneider, 2022. "Modeling Uncertainty as Ambiguity: a Review," NBER Working Papers 29915, National Bureau of Economic Research, Inc.
    5. Niklas Gohl & Peter Haan & Claus Michelsen & Felix Weinhardt, 2022. "House Price Expectations," Discussion Papers of DIW Berlin 1994, DIW Berlin, German Institute for Economic Research.
    6. Beutel, Johannes & Metiu, Norbert & Stockerl, Valentin, 2021. "Toothless tiger with claws? Financial stability communication, expectations, and risk-taking," Journal of Monetary Economics, Elsevier, vol. 120(C), pages 53-69.
    7. Joris Wauters & Zivile Zekaite & Garo Garabedian, 2024. "Owner-occupied housing costs, policy communication, and inflation expectations," Working Paper Research 449, National Bank of Belgium.
    8. Gohl, Niklas & Haan, Peter & Michelsen, Claus & Weinhardt, Felix, 2022. "House Price Expectations," IZA Discussion Papers 15040, Institute of Labor Economics (IZA).
    9. Edika Quispe-Torreblanca & David Hume & John Gathergood & George Loewenstein & Neil Stewart, 2023. "At the Top of the Mind: Peak Prices and the Disposition Effect," Discussion Papers 2023-09, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    10. Sarah Kiesl-Reiter & Melanie Lührmann & Jonathan Shaw & Joachim Winter, 2024. "The Formation of Subjective House Price Expectations," Rationality and Competition Discussion Paper Series 491, CRC TRR 190 Rationality and Competition.
    11. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2022. "Recent Advances in Studies of News Consumption," ECONtribute Discussion Papers Series 204, University of Bonn and University of Cologne, Germany.
    12. Charles Ka Yui Leung & (single author only), 2021. "Handbook of Real Estate and Macroeconomics: An Introduction," ISER Discussion Paper 1137, Institute of Social and Economic Research, Osaka University.
    13. Gohl, Niklas & Haan, Peter & Michelsen, Claus & Weinhardt, Felix, 2024. "House price expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 379-398.
    14. Berg, Tobias & Haselmann, Rainer & Kick, Thomas & Schreiber, Sebastian, 2023. "Unintended consequences of QE: Real estate prices and financial stability," IMFS Working Paper Series 196, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    15. Kiesl-Reiter, Sarah, 2024. "Subjective Expectations about Joint Return Distributions," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302423, Verein für Socialpolitik / German Economic Association.
    16. Geng Li & Nitish R. Sinha, 2023. "Are Real Assets Owners Less Averse to Inflation? Evidence from Consumer Sentiments and Inflation Expectations," Finance and Economics Discussion Series 2023-058, Board of Governors of the Federal Reserve System (U.S.).

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    JEL classification:

    • E0 - Macroeconomics and Monetary Economics - - General
    • G0 - Financial Economics - - General
    • R0 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General

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