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Relationships among regional housing markets: Evidence on adjustments of housing burden

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  • Tsai, I-Chun

Abstract

High regional house prices relative to income may result in residents moving to other regions with lower housing burden; this generates relationships among regional housing markets. From this perspective, this study employed Markov-switching models to examine housing affordability in 10 regional housing markets in the UK. The results show that levels of housing burden among regions are related, thereby proving that a high cost of housing burden in one region may result in residents buying houses in other regions. Moreover, this study found that house prices in most regions tend to converge with income levels but are asymmetric within the period of convergence. Specifically, because the period of high housing loans lasts longer, and vice versa, housing demand increases as soon as house prices drop. Thus, periods of “inexpensive” house prices do not last long. This paper explains why living costs in different regions are related, and proposes that housing demands may have asymmetric reactions when house prices are too high or too low.

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  • Tsai, I-Chun, 2019. "Relationships among regional housing markets: Evidence on adjustments of housing burden," Economic Modelling, Elsevier, vol. 78(C), pages 309-318.
    • Handle: RePEc:eee:ecmode:v:78:y:2019:i:c:p:309-318
    DOI: 10.1016/j.econmod.2018.09.026
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    as
    1. Benbouzid, Nadia & Mallick, Sushanta & Pilbeam, Keith, 2018. "The housing market and the credit default swap premium in the UK banking sector: A VAR approach," Research in International Business and Finance, Elsevier, vol. 44(C), pages 1-15.
    2. Camacho, Maximo, 2011. "Markov-switching models and the unit root hypothesis in real US GDP," Economics Letters, Elsevier, vol. 112(2), pages 161-164, August.
    3. Rangan Gupta & Stephen Miller, 2012. "“Ripple effects” and forecasting home prices in Los Angeles, Las Vegas, and Phoenix," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(3), pages 763-782, June.
    4. Steven C. Bourassa, 1996. "Measuring the Affordability of Home-ownership," Urban Studies, Urban Studies Journal Limited, vol. 33(10), pages 1867-1877, December.
    5. Mark J. Holmes & Arthur Grimes, 2008. "Is There Long-run Convergence among Regional House Prices in the UK?," Urban Studies, Urban Studies Journal Limited, vol. 45(8), pages 1531-1544, July.
    6. 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.
    7. Newman, Sandra J. & Holupka, C. Scott, 2014. "Housing affordability and investments in children," Journal of Housing Economics, Elsevier, vol. 24(C), pages 89-100.
    8. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    9. Steve Cook & Duncan Watson, 2016. "A new perspective on the ripple effect in the UK housing market: Comovement, cyclical subsamples and alternative indices," Urban Studies, Urban Studies Journal Limited, vol. 53(14), pages 3048-3062, November.
    10. Kanas, Angelos & Genius, Margarita, 2005. "Regime (non)stationarity in the US/UK real exchange rate," Economics Letters, Elsevier, vol. 87(3), pages 407-413, June.
    11. Guntermann, Karl L & Norrbin, Stefan C, 1991. "Empirical Tests of Real Estate Market Efficiency," The Journal of Real Estate Finance and Economics, Springer, vol. 4(3), pages 297-313, September.
    12. repec:ebl:ecbull:v:3:y:2008:i:11:p:1-11 is not listed on IDEAS
    13. Agnello, Luca & Schuknecht, Ludger, 2011. "Booms and busts in housing markets: Determinants and implications," Journal of Housing Economics, Elsevier, vol. 20(3), pages 171-190, September.
    14. Montagnoli, Alberto & Nagayasu, Jun, 2015. "UK house price convergence clubs and spillovers," Journal of Housing Economics, Elsevier, vol. 30(C), pages 50-58.
    15. Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2011. "Investigating regional house price convergence in the United States: Evidence from a pair-wise approach," Economic Modelling, Elsevier, vol. 28(6), pages 2369-2376.
    16. Zan Yang & Jie Chen, 2014. "Effects of Housing Policy on Affordability," SpringerBriefs in Economics, in: Housing Affordability and Housing Policy in Urban China, edition 127, chapter 0, pages 87-110, Springer.
    17. Shyh-Wei Chen, 2008. "Non-stationarity and Non-linearity in Stock Prices: Evidence from the OECD Countries," Economics Bulletin, AccessEcon, vol. 3(11), pages 1-11.
    18. Alan W. Evans, 1991. "'Rabbit Hutches on Postage Stamps': Planning, Development and Political Economy," Urban Studies, Urban Studies Journal Limited, vol. 28(6), pages 853-870, December.
    19. Shi, Shuping, 2017. "Speculative bubbles or market fundamentals? An investigation of US regional housing markets," Economic Modelling, Elsevier, vol. 66(C), pages 101-111.
    20. Steven Cook, 2005. "Detecting long-run relationships in regional house prices in the UK," International Review of Applied Economics, Taylor & Francis Journals, vol. 19(1), pages 107-118.
    21. I-Chun Tsai, 2015. "Spillover Effect between the Regional and the National Housing Markets in the UK," Regional Studies, Taylor & Francis Journals, vol. 49(12), pages 1957-1976, December.
    22. Katrakilidis, Constantinos & Trachanas, Emmanouil, 2012. "What drives housing price dynamics in Greece: New evidence from asymmetric ARDL cointegration," Economic Modelling, Elsevier, vol. 29(4), pages 1064-1069.
    23. Pain, Nigel & Westaway, Peter, 1997. "Modelling structural change in the UK housing market: A comparison of alternative house price models," Economic Modelling, Elsevier, vol. 14(4), pages 587-610, October.
    24. Geoffrey Meen, 2000. "Housing cycles and efficiency," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(2), pages 114-140, May.
    25. Balcilar, Mehmet & Gupta, Rangan & Shah, Zahra B., 2011. "An in-sample and out-of-sample empirical investigation of the nonlinearity in house prices of South Africa," Economic Modelling, Elsevier, vol. 28(3), pages 891-899, May.
    26. Meen, Geoffrey, 2000. "Housing Cycles and Efficiency," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(2), pages 114-140, May.
    27. Yuming Fu & Lilian K. Ng, 2001. "Market Efficiency and Return Statistics: Evidence from Real Estate and Stock Markets Using a Present‐Value Approach," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 29(2), pages 227-250.
    28. Hall, Stephen G & Psaradakis, Zacharias & Sola, Martin, 1999. "Detecting Periodically Collapsing Bubbles: A Markov-Switching Unit Root Test," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 143-154, March-Apr.
    29. Alberto, Montagnoli & Jun, Nagayasu, 2013. "An Investigation of Housing Affordability in the UK Regions," SIRE Discussion Papers 2013-64, Scottish Institute for Research in Economics (SIRE).
    30. Malpezzi, Stephen, 1999. "A Simple Error Correction Model of House Prices," Journal of Housing Economics, Elsevier, vol. 8(1), pages 27-62, March.
    31. Clodagh Memery, 2001. "The Housing System And The Celtic Tiger: The State Response To A Housing Crisis Of Affordability And Access," European Journal of Housing Policy, Taylor and Francis Journals, vol. 1(1), pages 79-104.
    32. Gan, Quan & Hill, Robert J., 2009. "Measuring housing affordability: Looking beyond the median," Journal of Housing Economics, Elsevier, vol. 18(2), pages 115-125, June.
    33. Zan Yang & Jie Chen, 2014. "Housing Affordability and Housing Policy in Urban China," SpringerBriefs in Economics, Springer, edition 127, number 978-3-642-54044-8, September.
    34. Barkham, R. J. & Geltner, D. M., 1996. "Price Discovery and Efficiency in the UK Housing Market," Journal of Housing Economics, Elsevier, vol. 5(1), pages 41-63, March.
    35. Fry, J. M., 2009. "Bubbles and contagion in English house prices," MPRA Paper 17687, University Library of Munich, Germany.
    36. Clodagh Memery, 2001. "The Housing System And The Celtic Tiger: The State Response To A Housing Crisis Of Affordability And Access," International Journal of Housing Policy, Taylor & Francis Journals, vol. 1(1), pages 79-104.
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    2. Yang, Zhenbing & Chen, Zhuo & Shao, Shuai & Yang, Lili, 2022. "Can housing price regulation improve R&D performance in universities? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    3. Chang, Kuang-Liang, 2020. "Are cyclical patterns of international housing markets interdependent?," Economic Modelling, Elsevier, vol. 88(C), pages 14-24.

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    More about this item

    Keywords

    Housing affordability; Housing burden; Regional housing markets; Asymmetric housing demands;
    All these keywords.

    JEL classification:

    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • 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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