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Housing is local: Applying a dynamic unobserved factor model for the Dutch housing market

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  • Klarl, Torben

Abstract

We employ the multi-factor extension of the Otrok and Whiteman (1998) single, dynamic unobserved factor model in order to investigate regional Dutch house price fluctuations for the years 1995–2012. This paper is mainly concerned with two questions: First, is the Dutch housing market localized? Second, to which factors can we trace back this localization? We find that the Dutch housing market is highly localized. Although there is an important common housing cycle explaining house price comovement across all regions, idiosyncratic factors play the most important role. Although notably, group specific factors, separating Randstad of non-Randstad regions, are only of minor importance. Nevertheless, they can explain region-specific housing supply shocks. This latter finding can be partly traced back towards an agglomeration effect for Randstad regions.

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  • Klarl, Torben, 2018. "Housing is local: Applying a dynamic unobserved factor model for the Dutch housing market," Economics Letters, Elsevier, vol. 170(C), pages 79-84.
    • Handle: RePEc:eee:ecolet:v:170:y:2018:i:c:p:79-84
    DOI: 10.1016/j.econlet.2018.05.037
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    1. Duan, Kun & Mishra, Tapas & Parhi, Mamata, 2018. "Space matters: Understanding the real effects of macroeconomic variations in cross-country housing price movements," Economics Letters, Elsevier, vol. 163(C), pages 130-135.
    2. Chib, Siddhartha & Greenberg, Edward, 1996. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometric Theory, Cambridge University Press, vol. 12(3), pages 409-431, August.
    3. Flor, Michael A. & Klarl, Torben, 2017. "On the cyclicity of regional house prices: New evidence for U.S. metropolitan statistical areas," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 134-156.
    4. Esteban Rossi-Hansberg & Pierre-Daniel Sarte & Raymond Owens, 2010. "Housing Externalities," Journal of Political Economy, University of Chicago Press, vol. 118(3), pages 485-535, June.
    5. Glaeser, Edward L. & Gyourko, Joseph & Saiz, Albert, 2008. "Housing supply and housing bubbles," Journal of Urban Economics, Elsevier, vol. 64(2), pages 198-217, September.
    6. Otrok, Christopher & Whiteman, Charles H, 1998. "Bayesian Leading Indicators: Measuring and Predicting Economic Conditions in Iowa," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 997-1014, November.
    7. Peter Boelhouwer, 2017. "The role of government and financial institutions during a housing market crisis: a case study of the Netherlands," European Journal of Housing Policy, Taylor and Francis Journals, vol. 17(4), pages 591-602, October.
    8. Laura E. Jackson & M. Ayhan Kose & Christopher Otrok & Michael T. Owyang, 2016. "Specification and Estimation of Bayesian Dynamic Factor Models: A Monte Carlo Analysis with an Application to Global House Price Comovement," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 361-400, Emerald Group Publishing Limited.
    9. Peter Boelhouwer, 2017. "The role of government and financial institutions during a housing market crisis: a case study of the Netherlands," International Journal of Housing Policy, Taylor & Francis Journals, vol. 17(4), pages 591-602, October.
    10. Mario Crucini & Ayhan Kose & Christopher Otrok, 2011. "What are the driving forces of international business cycles?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 156-175, January.
    11. Ayhan Kose, M. & Otrok, Christopher & Whiteman, Charles H., 2008. "Understanding the evolution of world business cycles," Journal of International Economics, Elsevier, vol. 75(1), pages 110-130, May.
    12. Caldera, Aida & Johansson, Åsa, 2013. "The price responsiveness of housing supply in OECD countries," Journal of Housing Economics, Elsevier, vol. 22(3), pages 231-249.
    13. Ghent, Andra C. & Owyang, Michael T., 2010. "Is housing the business cycle? Evidence from US cities," Journal of Urban Economics, Elsevier, vol. 67(3), pages 336-351, May.
    14. M. Ayhan Kose & Christopher Otrok & Charles H. Whiteman, 2003. "International Business Cycles: World, Region, and Country-Specific Factors," American Economic Review, American Economic Association, vol. 93(4), pages 1216-1239, September.
    15. Del Negro, Marco & Otrok, Christopher, 2007. "99 Luftballons: Monetary policy and the house price boom across U.S. states," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1962-1985, October.
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    Cited by:

    1. Bhatt, Vipul & Kishor, N. Kundan, 2021. "(A)Synchronous Housing Markets of Global Cities," MPRA Paper 107175, University Library of Munich, Germany.

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    More about this item

    Keywords

    Housing; Business cycles; Bayesian analysis; Housing supply;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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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