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U.S. Metropolitan House Price Dynamics

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  • Elias Oikarinen
  • Steven C. Bourassa
  • Martin Hoesli
  • Janne Engblom

Abstract

Using data for the 50 largest U.S. Metropolitan Statistical Areas (MSAs), this study contributes to the literature on regional heterogeneity in house price dynamics in several ways. We use recent advances in panel econometrics that allow for regional heterogeneity, cross-sectional dependence, and non- stationary but cointegrated data. We formally test for regional differences and explore the relationships between the price elasticity of housing supply and the income elasticity of prices, as well as bubble size and duration. The estimated mean long-term elasticity of house prices with respect to aggregate personal income is 0.86 across MSAs, but varies considerably between cities. Short-term momentum and reversion dynamics also show substantial regional heterogeneity. The dynamics are significantly associated with the price elasticity of housing supply. The long-term income elasticity generally is greater, short-term momentum is stronger, and adjustment towards the long-term fundamental price level is weaker in the more supply-inelastic MSAs. Hence, while house price cycles around long-term fundamental price levels typically are highly synchronized across MSAs within the same region, house price bubbles tend to be larger and longer-lasting in the MSAs with more inelastic housing supply.

Suggested Citation

  • Elias Oikarinen & Steven C. Bourassa & Martin Hoesli & Janne Engblom, 2017. "U.S. Metropolitan House Price Dynamics," LARES lares_2017_paper_25, Latin American Real Estate Society (LARES).
  • Handle: RePEc:lre:wpaper:lares_2017_paper_25
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    2. Charles Ka Yui LEUNG, 2022. "Housing and Macroeconomics," ISER Discussion Paper 1197, Institute of Social and Economic Research, Osaka University.
    3. Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2019. "Property heterogeneity and convergence club formation among local house prices," Journal of Housing Economics, Elsevier, vol. 43(C), pages 1-13.
    4. Christian A. L. Hilber, 2019. "Immobilienpreise und Immobilienzyklen und die Rolle von Angebotsbeschränkungen [The impact of local supply constraints on house prices and price dynamics]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 37-65, November.
    5. Antoine Giannetti, 2021. "Home Sales Pair Counts: The Organic Metric for Trading Volume in Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(2), pages 610-634, June.
    6. P. S. Morawakage & G. Earl & B. Liu & E. Roca & A. Omura, 2023. "Housing Risk and Returns in Submarkets with Spatial Dependence and Heterogeneity," The Journal of Real Estate Finance and Economics, Springer, vol. 67(4), pages 695-734, November.
    7. Edward Mateosian, 2023. "An empirical analysis of the economic impact of air pollution," EERI Research Paper Series EERI RP 2023/03, Economics and Econometrics Research Institute (EERI), Brussels.
    8. Mohammad Reza Farzanegan & Mehdi Feizi & Hassan F. Gholipour, 2019. "Drought and Property Prices: Empirical Evidence from Iran," MAGKS Papers on Economics 201916, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    9. Iheonu, Chimere & Asongu, Simplice & Odo, Kingsley & Ojiem, Patrick, 2020. "Financial Sector Development and Investment in Selected ECOWAS Countries: Empirical Evidence using Heterogeneous Panel Data Method," MPRA Paper 107102, University Library of Munich, Germany.
    10. John Muellbauer, 2019. "A Tale of Two Cities: Is Overvaluation a Capital Issue?," Springer Books, in: Rob Nijskens & Melanie Lohuis & Paul Hilbers & Willem Heeringa (ed.), Hot Property, chapter 0, pages 51-62, Springer.
    11. Chen, Feng & Mei, Chang-Lin, 2021. "Scale-adaptive estimation of mixed geographically weighted regression models," Economic Modelling, Elsevier, vol. 94(C), pages 737-747.
    12. Engerstam, Sviatlana, 2020. "Macroeconomic determinants of apartment prices in Swedish and German cities," Working Paper Series 20/2, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    13. Shengguo Li & Jiaqi Liu & Jichang Dong & Xuerong Li, 2021. "20 Years of Research on Real Estate Bubbles, Risk and Exuberance: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(17), pages 1-24, August.
    14. Lu, Yunzhi & Li, Jie & Yang, Haisheng, 2021. "Time-varying inter-urban housing price spillovers in China: Causes and consequences," Journal of Asian Economics, Elsevier, vol. 77(C).
    15. Xiaoping Zhou & Zhenyang Qin & Yingjie Zhang & Linyi Zhao & Yan Song, 2019. "Quantitative Estimation and Spatiotemporal Characteristic Analysis of Price Deviation in China's Housing Market," Sustainability, MDPI, vol. 11(24), pages 1-28, December.
    16. Chimere O. Iheonu & Simplice A. Asongu & Kingsley O. Odo & Patrick K. Ojiem, 2020. "Financial sector development and Investment in selected countries of the Economic Community of West African States: empirical evidence using heterogeneous panel data method," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-15, December.
    17. Mohammad Reza Farzanegan & Mehdi Feizi & Hassan F. Gholipour, 2021. "Drought and Property Prices: Empirical Evidence from Provinces of Iran," Economics of Disasters and Climate Change, Springer, vol. 5(2), pages 203-221, July.

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    More about this item

    Keywords

    bolha; Bubble; cross-sectional dependence; dados do painel; Dependência transversal; dinâmica; Dynamics; House Price; Panel Data; preço da casa;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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