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Understanding Spatial House Price Dynamics in a Housing Boom

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Listed:
  • Leo Kaas
  • Georgi Kocharkov
  • Nicolas Syrichas

Abstract

We examine the evolution of spatial house price dispersion during Germany’s recent housing boom. Using a dataset of sales listings, we find that house price dispersion has significantly increased, which is driven entirely by rising price variation across postal codes. We show that both price divergence across labor market regions and widening spatial price variation within these regions are important factors for this trend. We propose and estimate a directed search model of the housing market to understand the driving forces of rising spatial price dispersion, highlighting the role of housing supply, housing demand and frictions in the matching process between buyers and sellers. While both shifts in housing supply and housing demand matter for overall price increases and for regional divergence, we find that variation in housing demand is the primary factor contributing to the widening spatial dispersion within labor market regions.

Suggested Citation

  • Leo Kaas & Georgi Kocharkov & Nicolas Syrichas, 2024. "Understanding Spatial House Price Dynamics in a Housing Boom," CESifo Working Paper Series 11286, CESifo.
    • Handle: RePEc:ces:ceswps:_11286
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    References listed on IDEAS

    as
    1. Herkenhoff, Kyle F. & Ohanian, Lee E. & Prescott, Edward C., 2018. "Tarnishing the golden and empire states: Land-use restrictions and the U.S. economic slowdown," Journal of Monetary Economics, Elsevier, vol. 93(C), pages 89-109.
    2. Chang-Tai Hsieh & Enrico Moretti, 2019. "Housing Constraints and Spatial Misallocation," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(2), pages 1-39, April.
    3. Hennig, Jakob, 2021. "Neighborhood quality and opposition to immigration: Evidence from German refugee shelters," Journal of Development Economics, Elsevier, vol. 150(C).
    4. Hedlund, Aaron, 2016. "Illiquidity and its discontents: Trading delays and foreclosures in the housing market," Journal of Monetary Economics, Elsevier, vol. 83(C), pages 1-13.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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