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Does Inequality Really Matter in Forecasting Real Housing Returns of the United Kingdom?

Author

Listed:
  • Hossein Hassani

    (The Statistical Research Centre, Bournemouth University, Bournemouth, UK)

  • Mohammad Reza Yeganegi

    (Department of Statistics, Shahid Chamran University of Ahvaz, Ahvaz, Iran)

  • Rangan Gupta

    (Department of Economics, University of Pretoria, Pretoria, South Africa)

Abstract

In this paper, we analyze the potential role of growth in inequality for forecasting real housing returns of the United Kingdom (UK). In our forecasting exercise, we use linear and nonlinear models, as well as, measures of absolute and relative consumption and income inequalities at quarterly frequency over the period of 1975 to 2016. Our results indicate that, while nonlinearity in the data generating process of real housing returns is important, growth in inequality does not necessarily carry important information in forecasting the future path of housing prices in the UK.

Suggested Citation

  • Hossein Hassani & Mohammad Reza Yeganegi & Rangan Gupta, 2018. "Does Inequality Really Matter in Forecasting Real Housing Returns of the United Kingdom?," Working Papers 201859, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201859
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    1. Nyakabawo, Wendy & Miller, Stephen M. & Balcilar, Mehmet & Das, Sonali & Gupta, Rangan, 2015. "Temporal causality between house prices and output in the US: A bootstrap rolling-window approach," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 55-73.
    2. Christophe Andre & Rangan Gupta & Patrick T. Kanda, 2012. "Do House Prices Impact Consumption and Interest Rate? Evidence from OECD Countries using an Agnostic Identification Procedure," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 58(1), pages 19-70.
    3. Mumtaz, Haroon & Theophilopoulou, Angeliki, 2017. "The impact of monetary policy on inequality in the UK. An empirical analysis," European Economic Review, Elsevier, vol. 98(C), pages 410-423.
    4. Gupta, Rangan & Pierdzioch, Christian & Vivian, Andrew J. & Wohar, Mark E., 2019. "The predictive value of inequality measures for stock returns: An analysis of long-span UK data using quantile random forests," Finance Research Letters, Elsevier, vol. 29(C), pages 315-322.
    5. Matlack, Janna L. & Vigdor, Jacob L., 2008. "Do rising tides lift all prices? Income inequality and housing affordability," Journal of Housing Economics, Elsevier, vol. 17(3), pages 212-224, September.
    6. Edward E. Leamer, 2007. "Housing is the business cycle," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 149-233.
    7. Aye, Goodness C. & Balcilar, Mehmet & Bosch, Adél & Gupta, Rangan, 2014. "Housing and the business cycle in South Africa," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 471-491.
    8. Omokolade Akinsomi & Goodness C. Aye & Vassilios Babalos & Fotini Economou & Rangan Gupta, 2016. "Real estate returns predictability revisited: novel evidence from the US REITs market," Empirical Economics, Springer, vol. 51(3), pages 1165-1190, November.
    9. Barrell, Ray & Costantini, Mauro & Meco, Iris, 2015. "Housing wealth, financial wealth, and consumption: New evidence for Italy and the UK," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 316-323.
    10. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    11. Christou, Christina & Gupta, Rangan & Hassapis, Christis, 2017. "Does economic policy uncertainty forecast real housing returns in a panel of OECD countries? A Bayesian approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 50-60.
    12. John Y. Campbell, 2008. "Viewpoint: Estimating the equity premium," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 41(1), pages 1-21, February.
    13. Joseph Gyourko & Christopher Mayer & Todd Sinai, 2013. "Superstar Cities," American Economic Journal: Economic Policy, American Economic Association, vol. 5(4), pages 167-199, November.
    14. Omokolade Akinsomi & Goodness C. Aye & Vassilios Babalos & Fotini Economou & Rangan Gupta, 2016. "Erratum to: Real estate returns predictability revisited: novel evidence from the US REITs market," Empirical Economics, Springer, vol. 51(3), pages 1191-1191, November.
    15. Määttänen, Niku & Terviö, Marko, 2014. "Income distribution and housing prices: An assignment model approach," Journal of Economic Theory, Elsevier, vol. 151(C), pages 381-410.
    16. Plakandaras, Vasilios & Gupta, Rangan & Gogas, Periklis & Papadimitriou, Theophilos, 2015. "Forecasting the U.S. real house price index," Economic Modelling, Elsevier, vol. 45(C), pages 259-267.
    17. John Y. Campbell, 2007. "Estimating the Equity Premium," NBER Working Papers 13423, National Bureau of Economic Research, Inc.
    18. Thomas Goda & Chris Stewart & Alejandro Torres García, 2016. "Absolute Income Inequality and Rising House Prices," Documentos de Trabajo de Valor Público 15247, Universidad EAFIT.
    19. Gupta, Rangan & Kabundi, Alain & Miller, Stephen M., 2011. "Forecasting the US real house price index: Structural and non-structural models with and without fundamentals," Economic Modelling, Elsevier, vol. 28(4), pages 2013-2021, July.
    20. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05r, Department of Economics, University of Birmingham.
    21. Guglielmo Maria Caporale & Ricardo M. Sousa & Mark E. Wohar, 2019. "Can the Consumption–Wealth Ratio Predict Housing Returns? Evidence from OECD Countries," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 47(4), pages 935-976, December.
    22. Rapach, David E. & Strauss, Jack K., 2009. "Differences in housing price forecastability across US states," International Journal of Forecasting, Elsevier, vol. 25(2), pages 351-372.
    23. Rapach, David E. & Wohar, Mark E. & Rangvid, Jesper, 2005. "Macro variables and international stock return predictability," International Journal of Forecasting, Elsevier, vol. 21(1), pages 137-166.
    24. Caporale, Guglielmo Maria & Sousa, Ricardo M., 2016. "Consumption, wealth, stock and housing returns: Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 36(C), pages 562-578.
    25. Markus Demary, 2010. "The interplay between output, inflation, interest rates and house prices: international evidence," Journal of Property Research, Taylor & Francis Journals, vol. 27(1), pages 1-17, April.
    26. Cai, Zongwu & Fan, Jianqing & Yao, Qiwei, 2000. "Functional-coefficient regression models for nonlinear time series," LSE Research Online Documents on Economics 6314, London School of Economics and Political Science, LSE Library.
    27. N. Kundan Kishor & Hardik A. Marfatia, 2018. "Forecasting house prices in OECD economies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(2), pages 170-190, March.
    28. Jan R. Kim & Keunsuk Chung, 2016. "House prices and business cycles: The case of the UK," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 19(2), pages 131-146, June.
    29. Edward E. Leamer, 2015. "Housing Really Is the Business Cycle: What Survives the Lessons of 2008–09?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 43-50, March.
    30. Risse, Marian & Kern, Martin, 2016. "Forecasting house-price growth in the Euro area with dynamic model averaging," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 70-85.
    31. Cai, Zongwu & Masry, Elias, 2000. "Nonparametric Estimation Of Additive Nonlinear Arx Time Series: Local Linear Fitting And Projections," Econometric Theory, Cambridge University Press, vol. 16(4), pages 465-501, August.
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    Cited by:

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    2. Marilena Mironiuc & Elena Ionașcu & Maria Carmen Huian & Alina Țaran, 2021. "Reflecting the Sustainability Dimensions on the Residential Real Estate Prices," Sustainability, MDPI, vol. 13(5), pages 1-28, March.
    3. Berisha, Edmond & Meszaros, John & Gupta, Rangan, 2023. "Income inequality and house prices across US states," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 192-197.
    4. Abebe Hailemariam & Sefa Awaworyi Churchill & Russell Smyth & Kingsley Tetteh Baako, 2021. "Income inequality and housing prices in the very long‐run," Southern Economic Journal, John Wiley & Sons, vol. 88(1), pages 295-321, July.

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    More about this item

    Keywords

    Income and Consumption Inequalities; Real Housing Returns; Forecasting; Linear and Nonlinear Models; United Kingdom;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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