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Are House Prices in South Africa Really Non-Stationary? Evidence from SPSM-Based Panel KSS Test with a Fourier Function

Author

Listed:
  • Tsangyao Chang

    (Department of Finance, Feng Chia University, Taichung, Taiwan)

  • Tsung-pao Wu

    (Department of Finance, Feng Chia University, Taichung, Taiwan)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

Abstract

This study applies the Sequential Panel Selection Method (SPSM) to investigate the time-series properties of provincial house prices for entire, large, medium, and small middle-segments of South Africa. Quarterly time-series data were collected from nine provinces in South Africa for different house-size categories over the period of 1978.Q1 to 2012.Q4. Whereas other panel-based unit root tests are joint tests of a unit root for all members of a panel and are incapable of determining the mix of integrated of order zero (I(0)) series and integrated of order one (I(1)) series in a panel setting, the SPSM proposed by Chortareas and Kapetanios (2009) can clearly identify how many and which series in the panel are stationary processes by classifying a whole panel into a group of stationary and non-stationary series. The empirical results from several panel-based, as well as standard pure time-series, unit root tests, indicate that house prices for the nine provinces studied here are either stationary or non-stationary. However, results from the SPSM using the panel-version of the Kapetanios et al. (KSS, 2003) test with a Fourier function unequivocally indicate that house prices are stationary for the 9 provinces under study. Our test results have important economic and policy implications for South Africa.

Suggested Citation

  • Tsangyao Chang & Tsung-pao Wu & Rangan Gupta, 2013. "Are House Prices in South Africa Really Non-Stationary? Evidence from SPSM-Based Panel KSS Test with a Fourier Function," Working Papers 201324, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201324
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    Cited by:

    1. Geoffrey Ngene & Charles Lambert & Ali Darrat, 2015. "Testing Long Memory in the Presence of Structural Breaks: An Application to Regional and National Housing Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 50(4), pages 465-483, May.
    2. Nicholas Apergis & Tsangyao Chang & Christina Christou & Rangan Gupta, 2017. "Convergence of Health Care Expenditures Across the US States: A Reconsideration," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 303-316, August.
    3. Xolisa Vayi & Andrew Phiri, 2018. "A sequential panel selection approach to cointegration analysis: An application to Wagner’s law for South Africa," Working Papers 1831, Department of Economics, Nelson Mandela University.
    4. Tsangyao CHANG & Yifei CAI & Wen-Yi CHEN, 2017. "Are Suicide Rate Fluctuations Transitory or Permanent? Panel KSS Unit Root Test with a Fourier Function through the Sequential Panel Selection Method," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 5-17, September.
    5. Xolisa Vayi & Andrew Phiri, 2018. "A Sequential Panel Selection Approach to Cointegration Analysis: An Application to Wagner’s Law for South African Provincial Data," Economic Research Guardian, Weissberg Publishing, vol. 8(1), pages 25-39, June.

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    More about this item

    Keywords

    House Prices; Panel KSS Unit Root Test; Sequential Panel Selection Method; Non-Stationary;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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