Empirical Economics

, Volume 53, Issue 2, pp 617–640 | Cite as

Investigation of institutional changes in the UK housing market using structural break tests and time-varying parameter models

  • Hanxiong Zhang
  • Robert Hudson
  • Hugh Metcalf
  • Viktor Manahov
Article
  • 202 Downloads

Abstract

This paper investigates the effects of institutional changes within the UK housing market in recent decades using structural break tests and time-varying parameter models. This approach is motivated by models of institutional change drawn from the political science literature which focus on the existence of both fast-moving and slow-moving institutional changes and the interactions between them as drivers of the dynamics of asset prices. As a methodological contribution, we use several time-varying parameter models for the first time in investigations of institutional change. Our findings support the existence of both structural breaks and continuous variance in parameters. This contributes to our understanding of the housing market in two respects. Firstly, the dates of structural breaks appear to better match unexpected market shocks rather than remarkable political events, and this supports prior institutional theory. Secondly, assessment of the effect of slow-moving institutional changes shows that people’s biased expectations rather than the economic fundamentals have increasingly played an important role in driving housing prices in the short run although fundamentals continue to drive house prices to converge to their long-run equilibrium.

Keywords

Institutional changes Time-varying parameters Bubbles Housing market 

JEL Classification

C32 G00 G02 G12 G17 

References

  1. Ahking FW (2002) Model mis-specification and Johansen’s co-integration analysis: an application to the US money demand. J Macroecon 24:51–66. doi: 10.1016/S0164-0704(02)00017-4 CrossRefGoogle Scholar
  2. Akerlof GA, Shiller RJ (2010) Animal spirits: how human psychology drives the economy, and why it matters for global capitalism (new in paper). Princeton University Press, PrincetonGoogle Scholar
  3. Baddeley M (2005) Housing bubbles, herds and frenzies: evidence from british housing markets. University of Cambridge, CambridgeGoogle Scholar
  4. Bai J, Perron P (1998) Estimating and testing linear models with multiple structural changes. Econometrica 66:47–78. doi: 10.2307/2998540 CrossRefGoogle Scholar
  5. Barkoulas J, Baum CF (1997) A re-examination of the fragility of evidence from cointegration-based tests of foreign exchange market efficiency. Appl Financ Econ 7:635–643. doi: 10.1080/758533855 CrossRefGoogle Scholar
  6. Black A, Fraser P, Hoesli M (2006) House prices, fundamentals and bubbles. J Bus Finance Account 33:1535–1555. doi: 10.1111/j.1468-5957.2006.00638.x CrossRefGoogle Scholar
  7. Brown JP, Song H, McGillivray A (1997) Forecasting UK house prices: a time varying coefficient approach. Econ Modell 14:529–548. doi: 10.1016/S0264-9993(97)00006-0 CrossRefGoogle Scholar
  8. Chow GC (1960) Tests of equality between sets of coefficients in two linear regressions. Econometrica 28:591–605. doi: 10.2307/1910133 CrossRefGoogle Scholar
  9. Commandeur JJF, Koopman SJ (2007) An introduction to state space time series analysis. Oxford University Press, OxfordGoogle Scholar
  10. Culpepper PD (2005) Institutional change in contemporary capitalism: coordinated financial systems since 1990. World Politics 57:173–199. doi: 10.1353/wp.2005.0016 CrossRefGoogle Scholar
  11. Enders W (2010) Applied econometric time series, 3rd edn. Wiley, New YorkGoogle Scholar
  12. Engle RF, Granger CWJ (1987) Co-integration and error correction: representation, estimation, and testing. Econometrica 55:251–276. doi: 10.2307/1913236 CrossRefGoogle Scholar
  13. Engle RF, Watson M (1987) The Kalman filter: applications to forecasting and rational expectations models. In: Bewley T (ed) Advances in econometrics, Fifth World Congress, vol 1. Cambridge University Press, pp 245–283Google Scholar
  14. Finicelli A (2007) House price developments and fundamentals in the United States. Bank of Italy occasional paper no 7. doi: 10.2139/ssrn.1014576
  15. Girouard N, Kennedy M, van den Noord P, Andre C (2006) Recent house price developments: the role of fundamentals OECD economics. Department working papers no 475, pp 1–60. doi: 10.1787/864035447847
  16. Guirguis HS, Giannikos CI, Anderson RI (2005) The US housing market: asset pricing forecasts using time varying coefficients. J Real Estate Finance Econ 30:33–53. doi: 10.1007/s11146-004-4830-z CrossRefGoogle Scholar
  17. Hansen BE (2001) The new econometrics of structural change: dating breaks in U.S. labour productivity. J Econ Perspect 15:117–128. doi: 10.1257/jep.15.4.117 CrossRefGoogle Scholar
  18. Hendry DF (1984) Econometric modelling of house prices in the United Kingdom. In: Hendry DF, Wallis KF (eds) Econometrics and quantitative economics. Basil Blackwell, Oxford, pp 211–252Google Scholar
  19. Himmelberg C, Mayer C, Sinai T (2005) Assessing high house prices: bubbles, fundamentals and misperceptions. J Econ Perspect 19:67–92. doi: 10.1257/089533005775196769 CrossRefGoogle Scholar
  20. Jackson DA (1993) Stopping rules in principal components analysis: a comparison of heuristical and statistical approaches. Ecology 74:2204–2214. doi: 10.2307/1939574 CrossRefGoogle Scholar
  21. Konzelmann SJ, Fovargue-Davies M, Schnyder G (2010) Varieties of liberalism: anglo-Saxon capitalism in crisis?. Centre for Business Research, University of Cambridge, CambridgeGoogle Scholar
  22. Li G, Wong KKF, Song H, Witt SF (2006) Tourism demand forecasting: a time varying parameter error correction model. J Travel Res 45:175–185. doi: 10.1177/0047287506291596 CrossRefGoogle Scholar
  23. Lucas RE (1976) Econometric policy evaluation: a critique. In: Carnegie-Rochester conference series on public policy, vol 1, pp 19–46. doi: 10.1016/S0167-2231(76)80003-6
  24. Martin MF, Morrison WM (2008) China’s “Hot Money” problems, vol RS22921. CRS Report for Congress. https://www.fas.org/sgp/crs/row/RS22921.pdf. Accessed 25 Jun 2012
  25. O’Connor P (2010) Changes to the publication of bank and building societies statistics. Bank of England, Monetary and Financial Statistics. http://www.bankofengland.co.uk/statistics/Documents/ms/articles/artjan10.pdf. Accessed 25 Jun 2012
  26. Pesaran MH, Timmermann A (2002) Market timing and return prediction under model instability. J Empir Finance 9:495–510. doi: 10.1016/S0927-5398(02)00007-5 CrossRefGoogle Scholar
  27. Quigley JM, Raphael S (2004) Is housing unaffordable? Why isn’t it more affordable? J Econ Perspect 18:191–214. doi: 10.1257/089533004773563494 CrossRefGoogle Scholar
  28. Roland G (2004) Understanding institutional change: fast-moving and slow-moving institutions. Stud Comp Int Dev 38:109–131. doi: 10.1007/BF02686330 CrossRefGoogle Scholar
  29. Schwab RM (1982) Inflation expectations and the demand for housing. Am Econ Rev 72:143–153. doi: 10.2307/1808581 Google Scholar
  30. Shiwakoti RK, Keasey K, Hudson R (2008) Comparative performance of UK mutual Building Societies and stock retail banks: further evidence. Acc Finance 48:319–336. doi: 10.1111/j.1467-629X.2007.00244.x CrossRefGoogle Scholar
  31. Stock JH, Watson MW (2006) Forecasting with many predictors. In: Elliott G, Granger CWJ, Timmermann A (eds) Handbook of economic forecasting, vol 1, 1st edn. Elsevier, London, pp 515–554. doi: 10.1016/S1574-0706(05)01010-4 CrossRefGoogle Scholar
  32. Tsay RS (2010) Analysis of financial time series. Wiley, HobokenCrossRefGoogle Scholar
  33. Van den Bossche FAM (2011) Fitting state space models with EViews. J Stat Softw 41:1–16CrossRefGoogle Scholar
  34. Verardi V, Croux C (2009) Robust regression in Stata. Stata J 9:439–453Google Scholar
  35. Whelan K (2010) Global imbalances and the financial crisis. European Parliament’s Committee on Economic and Monetary Affairs. http://www.europarl.europa.eu/activities/committees/studies.do?language=EN. Accessed 17 Aug 2011
  36. Wu Y (1997) Rational bubbles in the stock market: accounting for the US stock-price volatility. Econ Inquiry 35:309–319. doi: 10.1111/j.1465-7295.1997.tb01912.x CrossRefGoogle Scholar
  37. Xu XE, Chen T (2012) The effect of monetary policy on real estate price growth in China. Pac Basin Finance J 20:62–77. doi: 10.1016/j.pacfin.2011.08.001 CrossRefGoogle Scholar
  38. Zivot E, Wang J (2006) Modeling financial time series with S-PLUS. Springer, New YorkGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Hanxiong Zhang
    • 1
  • Robert Hudson
    • 2
  • Hugh Metcalf
    • 3
  • Viktor Manahov
    • 4
  1. 1.Lincoln UniversityLincolnUK
  2. 2.Hull UniversityHullUK
  3. 3.Newcastle UniversityNewcastle upon TyneUK
  4. 4.York UniversityYorkUK

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