Convergence of Metropolitan House Prices in South Africa: A Re-Examination Using Efficient Unit Root Tests
AbstractThis paper analyzes whether the Law of One Price (LOOP) holds in the housing market of five metropolitan areas of South Africa, namely Cape Town, Durban, Greater Johannesburg, Port Elizabeth/Uitenhage and Pretoria. We test the existence of LOOP using the efficient unit root tests proposed by Elliott et al. (1996) [DF-GLS] and Elliott (1999) [DF-GLSu] based on monthly data on residential property prices covering the period of 1967:01 to 2009:03 for the large-, medium and small-middle segments of the housing market. Based on the DF-GLSu test, we find overwhelming evidence of the existence of LOOP in twelve of the fifteen possible cases, especially as the sample period becomes more recent. More importantly, our results are in sharp contrast with those obtained by Burger and Van Rensburg (2008) using quarterly data based on the Im, Pesharan and Shin (IPS, 2003) test, which are, in turn, shown to be highly sensitive to frequency of the data and temporal aggregation. With the rejection or the non-rejection of the null hypothesis of unit roots, based on panel data tests, not providing sufficient evidence to conclude that all the series in the panels have a unit root or that they are all stationary, more reliability should be placed on our results obtained from the efficient unit root tests.
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Bibliographic InfoPaper provided by University of Pretoria, Department of Economics in its series Working Papers with number 200922.
Length: 15 pages
Date of creation: Oct 2009
Date of revision:
Efficient Unit Root Tests; House Prices; Law of One Price; Price Convergence; Single Market;
Other versions of this item:
- Sonali DAS , Rangan GUPTA & Patrick A. KAYA, 2010. "Convergence Of Metropolitan House Prices In South Africa: A Re-Examination Using Efficient Unit Root Tests," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 10(1).
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- D40 - Microeconomics - - Market Structure and Pricing - - - General
- L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services
This paper has been announced in the following NEP Reports:
- NEP-AFR-2009-10-24 (Africa)
- NEP-ALL-2009-10-24 (All new papers)
- NEP-URE-2009-10-24 (Urban & Real Estate Economics)
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