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Estimating a stock-flow model for the Swiss housing market

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  • Elizabeth Steiner

Abstract

This paper analyses the development of housing market imbalances, housing prices and residential investment in Switzerland within a stock-flow framework. In the long run, the desired level of residential capital stock and the existing residential capital stock revert. Empirical results indicate, however, that housing demand can diverge from the existing supply for several years due to the slow adjustment of the residential capital stock to shocks. In the short run, the market therefore has to be cleared by price adjustments. And indeed, it can be shown empirically that changes in prices are significantly and strongly dependent on the level of stock imbalances. Furthermore, housing prices prove to be an important determinant of residential investment, which in turn drives the adjustment process of the residential capital stock towards its desired level.

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  • Elizabeth Steiner, 2010. "Estimating a stock-flow model for the Swiss housing market," Working Papers 2010-08, Swiss National Bank.
    • Handle: RePEc:snb:snbwpa:2010-08
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    Cited by:

    1. Nobili, Andrea & Zollino, Francesco, 2017. "A structural model for the housing and credit market in Italy," Journal of Housing Economics, Elsevier, vol. 36(C), pages 73-87.
    2. Dirk Drechsel & Anne Kathrin Funk, 2017. "Time-Varying and Regional Dynamics in Swiss Housing Markets," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 153(I), pages 37-72, March.
    3. Antje Hildebrandt & Duy T. Huynh-Olesen & Katharina Steiner & Karin Wagner, 2013. "Residential Property Prices in Central, Eastern and Southeastern European Countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 52-76.
    4. Dirk Drechsel, 2015. "Housing Cycles in Switzerland - A Time-Varying Approach," KOF Working papers 15-381, KOF Swiss Economic Institute, ETH Zurich.
    5. Kajuth, Florian, 2021. "Land leverage and the housing market: Evidence from Germany1," Journal of Housing Economics, Elsevier, vol. 51(C).
    6. Gregor Bäurle & Elizabeth Steiner, 2015. "How do Individual Sectors Respond to Macroeconomic Shocks? A Structural Dynamic Factor Approach Applied to Swiss Data," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 151(III), pages 167-225, September.

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    More about this item

    Keywords

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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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