IDEAS home Printed from https://ideas.repec.org/a/sae/urbstu/v54y2017i2p466-481.html
   My bibliography  Save this article

The spatial dimension of US house prices

Author

Listed:
  • Katharina Pijnenburg

Abstract

Spatial heterogeneity and spatial dependence are two well established aspects of house price developments. However, the analysis of differences in spatial dependence across time and space has not gained much attention yet. This paper jointly analyses these three aspects of spatial data. A panel smooth transition regression model is applied that allows for heterogeneity across time and space in spatial house price spillovers and for heterogeneity in the effect of the fundamentals on house price dynamics. Evidence is found for heterogeneity in spatial spillovers of house prices across space and time: house prices in neighbouring regions spill over more in times of increasing neighbouring house prices then when neighbouring house prices are declining. This is interpreted as evidence for the disposition effect. Moreover, heterogeneity in the effect of the fundamentals on house price dynamics could not be detected for all variables; real per capita disposable income and the unemployment rate have a homogeneous effect across time and space.

Suggested Citation

  • Katharina Pijnenburg, 2017. "The spatial dimension of US house prices," Urban Studies, Urban Studies Journal Limited, vol. 54(2), pages 466-481, February.
    • Handle: RePEc:sae:urbstu:v:54:y:2017:i:2:p:466-481
    DOI: 10.1177/0042098015606595
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0042098015606595
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0042098015606595?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Todd Kuethe & Valerien Pede, 2011. "Regional Housing Price Cycles: A Spatio-temporal Analysis Using US State-level Data," Regional Studies, Taylor & Francis Journals, vol. 45(5), pages 563-574.
    2. Raven Molloy & Christopher L. Smith & Abigail Wozniak, 2011. "Internal Migration in the United States," Journal of Economic Perspectives, American Economic Association, vol. 25(3), pages 173-196, Summer.
    3. Laura E. Kodres & Matthew Pritsker, 2002. "A Rational Expectations Model of Financial Contagion," Journal of Finance, American Finance Association, vol. 57(2), pages 769-799, April.
    4. Stanley McGreal & Paloma Taltavull de La Paz, 2013. "Implicit House Prices: Variation over Time and Space in Spain," Urban Studies, Urban Studies Journal Limited, vol. 50(10), pages 2024-2043, August.
    5. Holly, Sean & Hashem Pesaran, M. & Yamagata, Takashi, 2011. "The spatial and temporal diffusion of house prices in the UK," Journal of Urban Economics, Elsevier, vol. 69(1), pages 2-23, January.
    6. Brady, Ryan R., 2014. "The spatial diffusion of regional housing prices across U.S. states," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 150-166.
    7. Patrick Sevestre & Laszlo Matyas, 2008. "The Econometrics of Panel Data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00279977, HAL.
    8. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    9. Nicolas DEBARSY (CERPE De Namur) & Cem ERTUR & James P. LeSAGE, 2010. "Interpreting Dynamic Space-Time Panel Data Models," LEO Working Papers / DR LEO 800, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    10. Karl E. Case & Robert J. Shiller, 1988. "The behavior of home buyers in boom and post-boom markets," New England Economic Review, Federal Reserve Bank of Boston, issue Nov, pages 29-46.
    11. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    12. de Bandt, O. & Barhoumi, K. & Bruneau, C., 2010. "The international transmission of house price shocks," Working papers 274, Banque de France.
    13. Shiller, Robert J., 1999. "Human behavior and the efficiency of the financial system," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 20, pages 1305-1340, Elsevier.
    14. Petr Zemcik & Vyacheslav Mikhed, 2009. "Do House Prices Reflect Fundamentals? Aggregate and Panel Data Evidence," ERES eres2009_275, European Real Estate Society (ERES).
    15. Mikhed, Vyacheslav & Zemcík, Petr, 2009. "Do house prices reflect fundamentals? Aggregate and panel data evidence," Journal of Housing Economics, Elsevier, vol. 18(2), pages 140-149, June.
    16. de Bandt,O. & Malik, S., 2010. "Is there Evidence of Shift-Contagion in International Housing Markets?," Working papers 295, Banque de France.
    17. David Genesove & Christopher Mayer, 2001. "Loss Aversion and Seller Behavior: Evidence from the Housing Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1233-1260.
    18. David Gray, 2012. "District House Price Movements in England and Wales 1997–2007: An Exploratory Spatial Data Analysis Approach," Urban Studies, Urban Studies Journal Limited, vol. 49(7), pages 1411-1434, May.
    19. Bram van Dijk & Philip Hans Franses & Richard Paap & Dick van Dijk, 2011. "Modelling regional house prices," Applied Economics, Taylor & Francis Journals, vol. 43(17), pages 2097-2110.
    20. Olivier Bandt & Thomas Knetsch & Juan Peñalosa & Francesco Zollino (ed.), 2010. "Housing Markets in Europe," Springer Books, Springer, number 978-3-642-15340-2, September.
    21. Bruno Giussani & George Hadjimatheou, 1991. "Modeling Regional House Prices In The United Kingdom," Papers in Regional Science, Wiley Blackwell, vol. 70(2), pages 201-219, April.
    22. Engelhardt, Gary V., 2003. "Nominal loss aversion, housing equity constraints, and household mobility: evidence from the United States," Journal of Urban Economics, Elsevier, vol. 53(1), pages 171-195, January.
    23. Shefrin, Hersh & Statman, Meir, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-790, July.
    24. Anenberg, Elliot, 2011. "Loss aversion, equity constraints and seller behavior in the real estate market," Regional Science and Urban Economics, Elsevier, vol. 41(1), pages 67-76, January.
    25. Frans M. Dieleman & William A. V. Clark & Marinus C. Deurloo, 2000. "The Geography of Residential Turnover in Twenty-seven Large US Metropolitan Housing Markets, 1985-95," Urban Studies, Urban Studies Journal Limited, vol. 37(2), pages 223-245, February.
    26. Ibarra, Raul & Trupkin, Danilo R., 2016. "Reexamining the relationship between inflation and growth: Do institutions matter in developing countries?," Economic Modelling, Elsevier, vol. 52(PB), pages 332-351.
    27. repec:arz:wpaper:eres2009-275 is not listed on IDEAS
    28. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1, July-Dece.
    29. Chien-Chiang Lee & Mei-Se Chien, 2011. "Empirical Modelling of Regional House Prices and the Ripple Effect," Urban Studies, Urban Studies Journal Limited, vol. 48(10), pages 2029-2047, August.
    30. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cipollini, Andrea & Parla, Fabio, 2020. "Housing market shocks in italy: A GVAR approach," Journal of Housing Economics, Elsevier, vol. 50(C).
    2. I-Chun Tsai, 2019. "Interregional correlations in the US housing market at three price tiers," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(1), pages 1-24, August.
    3. Yingchao Lin & Zhili Ma & Ke Zhao & Weiyan Hu & Jing Wei, 2018. "The Impact of Population Migration on Urban Housing Prices: Evidence from China’s Major Cities," Sustainability, MDPI, vol. 10(9), pages 1-14, September.
    4. I-Chun Tsai, 2018. "The cause and outcomes of the ripple effect: housing prices and transaction volume," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 351-373, September.
    5. repec:ire:issued:v:22:n:01:2019:p:27-59 is not listed on IDEAS
    6. Tan, Ronghui & He, Qingsong & Zhou, Kehao & Xie, Peng, 2019. "The effect of new metro stations on local land use and housing prices: The case of Wuhan, China," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    7. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2019. "A Regional Decomposition of US Housing Prices and Volume: Market Dynamics and Economic Diversification Opportunities," Working Papers in Economics & Finance 2019-06, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    8. I-Chun Tsai & Che-Chun Lin, 2019. "Variations and Influences of Connectedness among US Housing Markets," International Real Estate Review, Global Social Science Institute, vol. 22(1), pages 27-58.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Katharina Pijnenburg, 2014. "The Spatial Dimension of US House Price Developments," ERSA conference papers ersa14p127, European Regional Science Association.
    2. Katharina Pijnenburg, 2013. "The Spatial Dimension of US House Price Developments," Discussion Papers of DIW Berlin 1270, DIW Berlin, German Institute for Economic Research.
    3. Pijnenburg, Katharina, 2017. "The spatial dimension of US house prices," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 54(2), pages 466-481.
    4. Hyun, Dongwoo & Milcheva, Stanimira, 2018. "Spatial dependence in apartment transaction prices during boom and bust," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 36-45.
    5. Carolin Fritzsche & Lars Vandrei, 2018. "Causes of Vacancies in the Housing Market – A Literature Review," ifo Working Paper Series 258, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    6. Ryan R. Brady, 2021. "Direct Forecasting for Applied Regional Analysis," Departmental Working Papers 67, United States Naval Academy Department of Economics.
    7. James E. Payne & Xiaojin Sun, 2023. "Time‐varying connectedness of metropolitan housing markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(2), pages 470-502, March.
    8. Tsai, I-Chun & Chiang, Shu-Hen, 2019. "Exuberance and spillovers in housing markets: Evidence from first- and second-tier cities in China," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 75-86.
    9. K.S. Muehlfeld & G.U. Weitzel & A. van Witteloostuijn, 2012. "Fight or freeze? Individual differences in investors’ motivational systems and trading in experimental asset markets," Working Papers 12-18, Utrecht School of Economics.
    10. Mirjam Lehenkari & Jukka Perttunen, 2010. "Holding on to the Losers: Finnish Evidence," Chapters, in: Brian Bruce (ed.), Handbook of Behavioral Finance, chapter 17, Edward Elgar Publishing.
    11. Meng, Charlotte C., 2023. "The price paid: Heuristic thinking and biased reference points in the housing market," Journal of Urban Economics, Elsevier, vol. 134(C).
    12. Grinblatt, Mark & Han, Bing, 2001. "The Disposition Effect and Momentum," University of California at Los Angeles, Anderson Graduate School of Management qt6qg5d62p, Anderson Graduate School of Management, UCLA.
    13. Cipollini, Andrea & Parla, Fabio, 2020. "Housing market shocks in italy: A GVAR approach," Journal of Housing Economics, Elsevier, vol. 50(C).
    14. Lamorgese, Andrea R. & Pellegrino, Dario, 2022. "Loss aversion in housing appraisal: Evidence from Italian homeowners," Journal of Housing Economics, Elsevier, vol. 56(C).
    15. Liu, Shuangzhe & Ma, Tiefeng & Polasek, Wolfgang, 2014. "Spatial system estimators for panel models: A sensitivity and simulation study," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 101(C), pages 78-102.
    16. Andrea Lamorgese & Dario Pellegrino, 2019. "Loss aversion in housing price appraisals among Italian homeowners," Temi di discussione (Economic working papers) 1248, Bank of Italy, Economic Research and International Relations Area.
    17. Tyran, Jean-Robert & Stephens, Thomas A, 2012. "?At least I didn?t lose money? Nominal Loss Aversion Shapes Evaluations of Housing Transactions," CEPR Discussion Papers 9198, C.E.P.R. Discussion Papers.
    18. Robert Edelstein & Wenlan Qian, 2014. "Short-Term Buyers and Housing Market Dynamics," The Journal of Real Estate Finance and Economics, Springer, vol. 49(4), pages 654-689, November.
    19. J.W.A.M. Steegmans & W.H.J. Hassink, 2015. "Decreasing house prices and household mobility: An empirical study on loss aversion and negative equity," Working Papers 15-12, Utrecht School of Economics.
    20. Gong, Yunlong & Hu, Jinxing & Boelhouwer, Peter J., 2016. "Spatial interrelations of Chinese housing markets: Spatial causality, convergence and diffusion," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 103-117.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:urbstu:v:54:y:2017:i:2:p:466-481. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: http://www.gla.ac.uk/departments/urbanstudiesjournal .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.