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Geographic constraints and the housing supply elasticity in Germany

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  • Beze, Eyayaw

Abstract

The study estimates the housing supply elasticity and the impact of geographic constraints in Germany from 2008-2019 using the Bartik instrument. The results show that the housing supply is, on average, inelastic, with a floorspace elasticity of 0.22 and a units elasticity of 0.25. The study also reveals that geographical constraints partially affect the housing supply elasticity across districts. Notably, high development intensity decreases the elasticity, while the unavailability of land for development due to restrictive geography has no significant impact on the housing supply elasticity. The housing supply elasticity estimates may prove useful for calibrating quantitative urban or regional models in Germany.

Suggested Citation

  • Beze, Eyayaw, 2023. "Geographic constraints and the housing supply elasticity in Germany," Ruhr Economic Papers 1003, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    • Handle: RePEc:zbw:rwirep:1003
    DOI: 10.4419/96973169
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    References listed on IDEAS

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    1. Albert Saiz, 2010. "The Geographic Determinants of Housing Supply," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1253-1296.
    2. Timothy J. Bartik, 1991. "Who Benefits from State and Local Economic Development Policies?," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number wbsle.
    3. Hilber, Christian Albin Lukas & Mense, Andreas, 2021. "Why have house prices risen so much more than rents in superstar cities?," LSE Research Online Documents on Economics 114283, London School of Economics and Political Science, LSE Library.
    4. Saks, Raven E., 2008. "Job creation and housing construction: Constraints on metropolitan area employment growth," Journal of Urban Economics, Elsevier, vol. 64(1), pages 178-195, July.
    5. Dennis Epple & Brett Gordon & Holger Sieg, 2010. "A New Approach to Estimating the Production Function for Housing," American Economic Review, American Economic Association, vol. 100(3), pages 905-924, June.
    6. Paul Goldsmith-Pinkham & Isaac Sorkin & Henry Swift, 2020. "Bartik Instruments: What, When, Why, and How," American Economic Review, American Economic Association, vol. 110(8), pages 2586-2624, August.
    7. Edward L. Glaeser & Joseph Gyourko & Raven E. Saks, 2005. "Why Have Housing Prices Gone Up?," American Economic Review, American Economic Association, vol. 95(2), pages 329-333, May.
    8. Glaeser, Edward L., 2008. "Cities, Agglomeration, and Spatial Equilibrium," OUP Catalogue, Oxford University Press, number 9780199290444.
    9. Edward L. Glaeser & Joshua D. Gottlieb, 2009. "The Wealth of Cities: Agglomeration Economies and Spatial Equilibrium in the United States," Journal of Economic Literature, American Economic Association, vol. 47(4), pages 983-1028, December.
    10. Paciorek, Andrew, 2013. "Supply constraints and housing market dynamics," Journal of Urban Economics, Elsevier, vol. 77(C), pages 11-26.
    11. Gyourko, Joseph & Hartley, Jonathan S. & Krimmel, Jacob, 2021. "The local residential land use regulatory environment across U.S. housing markets: Evidence from a new Wharton index," Journal of Urban Economics, Elsevier, vol. 124(C).
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    Cited by:

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    2. Lennard Schlattmann, 2024. "Spatial Redistribution of Carbon Taxes," ECONtribute Discussion Papers Series 345, University of Bonn and University of Cologne, Germany.

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    More about this item

    Keywords

    House prices; housing supply; housing supply elasticity;
    All these keywords.

    JEL classification:

    • 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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