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The Asymmetric Effects of Regional House Prices in the UK: New Evidence from Panel Quantile Regression Framework

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  • Panayiotis Tzeremes

Abstract

This study unfurls the non-linear behaviour of regional house prices in the United Kingdom by employing quarterly observations spanning the period 1992Q1–2017Q4. Our enquiry aims at examining UK house prices within a multivariable framework and, more specifically, by employing panel quantile regression with fixed effect. In brief, the empirical findings obtained from these methodologies indicate that the UK house prices are influenced at lower and upper quantiles, and that precisely they are influenced by variables such as income, private sector housing starts and employment. We highly support that there is a strong heterogeneity among UK regions and that asymmetry may be one of the keys of the ripple effect. Particularly, the income shows a positively significant performance at lower and higher regional house prices. Moreover, the variables private sector housing starts and employment rate are statistically significant for house prices. Leveraging for first-time panel quantile regression for the case of regional house prices in the UK, policymakers will have a profound understanding of regional house prices. JEL Classifications: C22, R21, R31

Suggested Citation

  • Panayiotis Tzeremes, 2022. "The Asymmetric Effects of Regional House Prices in the UK: New Evidence from Panel Quantile Regression Framework," Studies in Microeconomics, , vol. 10(1), pages 7-22, June.
    • Handle: RePEc:sae:miceco:v:10:y:2022:i:1:p:7-22
    DOI: 10.1177/2321022220980541
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    as
    1. Dimitrios Staikos & Wenjun Xue, 2017. "What drives housing prices, rent and new construction in China," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 10(5), pages 662-686, October.
    2. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    3. Carol Alexander & Michael Barrow, 1994. "Seasonality and Cointegration of Regional House Prices in the UK," Urban Studies, Urban Studies Journal Limited, vol. 31(10), pages 1667-1689, December.
    4. Holly, Sean & Jones, Natasha, 1997. "House prices since the 1940s: Cointegration, demography and asymmetries," Economic Modelling, Elsevier, vol. 14(4), pages 549-565, October.
    5. Huiming Zhu & Zheng Li & Peng Guo, 2018. "The impact of income, economic openness and interest rates on housing prices in China: evidence from dynamic panel quantile regression," Applied Economics, Taylor & Francis Journals, vol. 50(38), pages 4086-4098, August.
    6. 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.
    7. Pesaran, M Hashem & Timmermann, Allan, 1992. "A Simple Nonparametric Test of Predictive Performance," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 561-565, October.
    8. Galvao Jr., Antonio F., 2011. "Quantile regression for dynamic panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 164(1), pages 142-157, September.
    9. Harding, Matthew & Lamarche, Carlos, 2009. "A quantile regression approach for estimating panel data models using instrumental variables," Economics Letters, Elsevier, vol. 104(3), pages 133-135, September.
    10. repec:bla:scotjp:v:44:y:1997:i:3:p:225-46 is not listed on IDEAS
    11. Damette, Olivier & Delacote, Philippe, 2012. "On the economic factors of deforestation: What can we learn from quantile analysis?," Economic Modelling, Elsevier, vol. 29(6), pages 2427-2434.
    12. 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.
    13. Ivan A. Canay, 2011. "A simple approach to quantile regression for panel data," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 368-386, October.
    14. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    15. Steven Cook & Dimitrios Vougas, 2009. "Unit root testing against an ST-MTAR alternative: finite-sample properties and an application to the UK housing market," Applied Economics, Taylor & Francis Journals, vol. 41(11), pages 1397-1404.
    16. McDonald, Ronald & Taylor, Mark P, 1993. "Regional House Prices in Britain: Long-Run Relationships and Short-Run Dynamics," Scottish Journal of Political Economy, Scottish Economic Society, vol. 40(1), pages 43-55, February.
    17. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    18. 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.
    19. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
    20. Kato, Kengo & F. Galvao, Antonio & Montes-Rojas, Gabriel V., 2012. "Asymptotics for panel quantile regression models with individual effects," Journal of Econometrics, Elsevier, vol. 170(1), pages 76-91.
    21. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    22. Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Tests of Linear Hypotheses and l[subscript]1 Estimation," Econometrica, Econometric Society, vol. 50(6), pages 1577-1583, November.
    23. Andrew Abbott & Glauco De Vita, 2013. "Testing for long-run convergence across regional house prices in the UK: a pairwise approach," Applied Economics, Taylor & Francis Journals, vol. 45(10), pages 1227-1238, April.
    24. Steven Cook & Sean Holly, 2000. "Statistical Properties of UK House Prices: An Analysis of Disaggregated Vintages," Urban Studies, Urban Studies Journal Limited, vol. 37(11), pages 2045-2051, October.
    25. Albert Saiz & Susan Wachter, 2011. "Immigration and the Neighborhood," American Economic Journal: Economic Policy, American Economic Association, vol. 3(2), pages 169-188, May.
    26. Matthew Harding & Carlos Lamarche, 2017. "Penalized Quantile Regression with Semiparametric Correlated Effects: An Application with Heterogeneous Preferences," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 342-358, March.
    27. John Ashworth & Simon C. Parker, 1997. "Modelling Regional House Prices in the UK," Scottish Journal of Political Economy, Scottish Economic Society, vol. 44(3), pages 225-246, August.
    28. Lamarche, Carlos, 2011. "Measuring the incentives to learn in Colombia using new quantile regression approaches," Journal of Development Economics, Elsevier, vol. 96(2), pages 278-288, November.
    29. Chris Hudson & John Hudson & Bruce Morley, 2018. "Differing house price linkages across UK regions: A multi-dimensional recursive ripple model," Urban Studies, Urban Studies Journal Limited, vol. 55(8), pages 1636-1654, June.
    30. Lamarche, Carlos, 2010. "Robust penalized quantile regression estimation for panel data," Journal of Econometrics, Elsevier, vol. 157(2), pages 396-408, August.
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    2. Xinba Li & Chuanrong Zhang, 2021. "Did the COVID-19 Pandemic Crisis Affect Housing Prices Evenly in the U.S.?," Sustainability, MDPI, vol. 13(21), pages 1-28, November.

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    More about this item

    Keywords

    House prices; asymmetry; panel quantile regression; ripple effect;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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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