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Testing for Persistence with Breaks and Outliers in South African House Prices

  • Luis A. Gil-Alana

    ()

    (School of Economics and Business Administration, University of Navarra)

  • Goodness C. Aye

    ()

    (Department of Economics, University of Pretoria)

  • Rangan Gupta

    ()

    (Department of Economics, University of Pretoria)

This study examines the time series behaviour of South African house prices within a fractional integration modelling framework while identifying potential breaks and outliers. We used quarterly data on the six house price indexes, namely affordable, luxury, middle-segment (all sizes, large, medium and small sizes), covering the periods 1966:Q1-2012:Q1 for the different middle-segments, 1966:Q3-2012:Q1 for the luxury segment and 1969:Q4-2012:Q1 for the affordable segment. In general, there is persistence in South African house prices with breaks identified. Our results show that in the cases of affordable and luxury, shocks will be transitory, disappearing in the long run, while for the remaining four series of the middle-segment, shocks will be permanent. Hence, for the middle-segment series strong policy measures must be adopted in the event of negative shocks, in order to recover the original trends.

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File URL: http://www.unav.es/facultad/econom/files/workingpapersmodule/@random50169a3d22927/1354835793_WP_UNAV_20_12.pdf
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Paper provided by School of Economics and Business Administration, University of Navarra in its series Faculty Working Papers with number 20/12.

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Length: 28 pages
Date of creation: 07 Dec 2012
Date of revision:
Handle: RePEc:una:unccee:wp2012
Contact details of provider: Web page: http://www.unav.es/facultad/econom

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  1. 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.
  2. Pesaran, H.M. & Timmermann, A., 2003. "How Costly is it to Ignore Breaks when Forecasting the Direction of a Time Series?," Cambridge Working Papers in Economics 0306, Faculty of Economics, University of Cambridge.
  3. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2004. "Non-Linearities And Fractional Integration In The Us Unemployment Rate," Economics and Finance Discussion Papers 04-17, Economics and Finance Section, School of Social Sciences, Brunel University.
  4. Sonali Das & Rangan Gupta & Patrick T Kanda, 2010. "Bubbles in South African House Prices and their Impact on Consumption," Working Papers 201017, University of Pretoria, Department of Economics.
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  9. Sonali Das & Rangan Gupta & Alain Kabundi, 2009. "Could we have predicted the recent downturn in the South African Housing Market?," Working Papers 149, Economic Research Southern Africa.
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  11. Barros, Carlos Pestana & Gil-Alana, Luis A. & Payne, James E., 2011. "An analysis of oil production by OPEC countries: Persistence, breaks, and outliers," Energy Policy, Elsevier, vol. 39(1), pages 442-453, January.
  12. Jaume Garcia & Josep Maria Raya, 2011. "Price and Income Elasticities of Demand for Housing Characteristics in the City of Barcelona," Regional Studies, Taylor & Francis Journals, vol. 45(5), pages 597-608.
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  20. Rangan Gupta & Faaiqa Hartley, 2013. "The Role of Asset Prices in Forecasting Inflation and Output in South Africa," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 12(3), pages 239-291, December.
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  22. Gupta, Rangan & Jurgilas, Marius & Kabundi, Alain, 2010. "The effect of monetary policy on real house price growth in South Africa: A factor-augmented vector autoregression (FAVAR) approach," Economic Modelling, Elsevier, vol. 27(1), pages 315-323, January.
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  24. Ohanissian, Arek & Russell, Jeffrey R. & Tsay, Ruey S., 2008. "True or Spurious Long Memory? A New Test," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 161-175, April.
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