Are House Prices in South Africa Really Non-Stationary? Evidence from SPSM-Based Panel KSS Test with a Fourier Function
AbstractThis 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by University of Pretoria, Department of Economics in its series Working Papers with number 201324.
Length: 33 pages
Date of creation: Apr 2013
Date of revision:
House Prices; Panel KSS Unit Root Test; Sequential Panel Selection Method; Non-Stationary;
Find related papers by JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
This paper has been announced in the following NEP Reports:
- NEP-AFR-2013-06-04 (Africa)
- NEP-ALL-2013-06-04 (All new papers)
- NEP-URE-2013-06-04 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Yoosoon Chang, 2000.
"Nonlinear IV Unit Root Tests in Panels with Cross-Sectional Dependency,"
CIRJE-F-85, CIRJE, Faculty of Economics, University of Tokyo.
- Chang, Yoosoon, 2002. "Nonlinear IV unit root tests in panels with cross-sectional dependency," Journal of Econometrics, Elsevier, vol. 110(2), pages 261-292, October.
- Muellbauer, John & Murphy, Anthony, 1997.
"Booms and Busts in the UK Housing Market,"
Royal Economic Society, vol. 107(445), pages 1701-27, November.
- Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002.
"Unit root tests in panel data: asymptotic and finite-sample properties,"
Journal of Econometrics,
Elsevier, vol. 108(1), pages 1-24, May.
- Tom Doan, . "LEVINLIN: RATS procedure to perform Levin-Lin-Chu test for unit roots in panel data," Statistical Software Components RTS00242, Boston College Department of Economics.
- Kaddour Hadri, 1999.
"Testing For Stationarity In Heterogeneous Panel Data,"
1999_04, University of Liverpool Management School.
- Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
- Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003.
"Testing for unit roots in heterogeneous panels,"
Journal of Econometrics,
Elsevier, vol. 115(1), pages 53-74, July.
- Tom Doan, . "IPSHIN: RATS procedure to implement Im, Pesaran and Shin panel unit root test," Statistical Software Components RTS00098, Boston College Department of Economics.
- Pasaran, M.H. & Im, K.S. & Shin, Y., 1995. "Testing for Unit Roots in Heterogeneous Panels," Cambridge Working Papers in Economics 9526, Faculty of Economics, University of Cambridge.
- Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2010.
"Unit Roots and Structural Change: An Application to US House-Price Indices,"
2010-04, University of Connecticut, Department of Economics, revised Dec 2010.
- Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2010. "Unit Roots and Structural Change: An Application to US House-Price Indices," Working Papers 1004, University of Nevada, Las Vegas , Department of Economics.
- Kenneth D. West & Whitney K. Newey, 1995.
"Automatic Lag Selection in Covariance Matrix Estimation,"
NBER Technical Working Papers
0144, National Bureau of Economic Research, Inc.
- Newey, Whitney K & West, Kenneth D, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," Review of Economic Studies, Wiley Blackwell, vol. 61(4), pages 631-53, October.
- Maddala, G S & Wu, Shaowen, 1999. " A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-52, Special I.
- Francis X. Diebold & Lutz Kilian, 1999.
"Unit Root Tests Are Useful for Selecting Forecasting Models,"
NBER Working Papers
6928, National Bureau of Economic Research, Inc.
- Diebold, Francis X & Kilian, Lutz, 2000. "Unit-Root Tests Are Useful for Selecting Forecasting Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(3), pages 265-73, July.
- Francis X. Diebold & Lutz Kilian, 1999. "Unit Root Tests are Useful for Selecting Forecasting Models," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-063, New York University, Leonard N. Stern School of Business-.
- Pascalau, Razvan, 2008.
"Unit Roots Tests with Smooth Breaks: An Application to the Nelson-Plosser Data Set,"
7220, University Library of Munich, Germany.
- Razvan Pascalau, 2010. "Unit root tests with smooth breaks: an application to the Nelson-Plosser data set," Applied Economics Letters, Taylor and Francis Journals, vol. 17(6), pages 565-570.
- Georgios Chortareas & George Kapetanios, 2004.
"Getting PPP Right: Identifying Mean Reverting Real Exchange Rates in Panels,"
Money Macro and Finance (MMF) Research Group Conference 2004
32, Money Macro and Finance Research Group.
- Chortareas, Georgios & Kapetanios, George, 2009. "Getting PPP right: Identifying mean-reverting real exchange rates in panels," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 390-404, February.
- Georgios Chortareas & George Kapetanios, 2008. "Getting PPP Right: Identifying Mean-Reverting Real Exchange Rates in Panels," Working Papers 629, Queen Mary, University of London, School of Economics and Finance.
- Georgios Chortareas & George Kapetanios, 2004. "Getting PPP Right: Identifying Mean-Reverting Real Exchange Rates in Panels," Working Papers 517, Queen Mary, University of London, School of Economics and Finance.
- Bierens, Herman J., 1997. "Testing the unit root with drift hypothesis against nonlinear trend stationarity, with an application to the US price level and interest rate," Journal of Econometrics, Elsevier, vol. 81(1), pages 29-64, November.
- Junsoo Lee & Walter Enders, 2004. "Testing for a unit-root with a nonlinear Fourier function," Econometric Society 2004 Far Eastern Meetings 457, Econometric Society.
- Pesaran, M.H., 2003.
"A Simple Panel Unit Root Test in the Presence of Cross Section Dependence,"
Cambridge Working Papers in Economics
0346, Faculty of Economics, University of Cambridge.
- M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
- Breuer, Janice Boucher & McNown, Robert & Wallace, Myles S, 2001. "Misleading Inferences from Panel Unit-Root Tests with an Illustration from Purchasing Power Parity," Review of International Economics, Wiley Blackwell, vol. 9(3), pages 482-93, August.
- Meen, Geoffrey, 2002. "The Time-Series Behavior of House Prices: A Transatlantic Divide?," Journal of Housing Economics, Elsevier, vol. 11(1), pages 1-23, March.
- Ucar, Nuri & Omay, Tolga, 2009. "Testing for unit root in nonlinear heterogeneous panels," Economics Letters, Elsevier, vol. 104(1), pages 5-8, July.
- Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
- Josep Lluis Carrion Silvestre & Tomas del Barrio Castro & Enrique Lopez Bazo, 2003.
"Breaking the panels. An application to the GDP per capita,"
Working Papers in Economics
97, Universitat de Barcelona. Espai de Recerca en Economia.
- Josep Llu�s Carrion-i-Silvestre & Tom�s del Barrio-Castro & Enrique L�pez-Bazo, 2005. "Breaking the panels: An application to the GDP per capita," Econometrics Journal, Royal Economic Society, vol. 8(2), pages 159-175, 07.
- Chang, Yoosoon, 2002. "Nonlinear IV Unit Root Tests in Panels with Cross-Sectional Dependency," Working Papers 2000-08, Rice University, Department of Economics.
- Perron, Pierre, 1989.
"The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis,"
Econometric Society, vol. 57(6), pages 1361-1401, November.
- Perron, P, 1988. "The Great Crash, The Oil Price Shock And The Unit Root Hypothesis," Papers 338, Princeton, Department of Economics - Econometric Research Program.
- Mehmet Balcilar & Abebe D. Beyene & Rangan Gupta & Monaheng Seleteng, 2011. ""Ripple" Effects in South African House Prices," Working Papers 201102, University of Pretoria, Department of Economics.
- Beatrice D. Simo-Kengne & Manoel Bittencourt & Rangan Gupta, 2011. "House Prices and Economic Growth in South Africa: Evidence from Provincial-Level Data," Working Papers 201116, University of Pretoria, Department of Economics.
- Mehmet Balcilar & Rangan Gupta & Zahra Shah, 2010.
"An In-Sample and Out-of-Sample Empirical Investigation of the Nonlinearity in House Prices of South Africa,"
201008, University of Pretoria, Department of Economics.
- 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.
- Ralf Becker & Walter Enders & Junsoo Lee, 2006. "A Stationarity Test in the Presence of an Unknown Number of Smooth Breaks," Journal of Time Series Analysis, Wiley Blackwell, vol. 27(3), pages 381-409, 05.
- Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
- Philippe Burger & Lizelle janse Van rensburg, 2008. "Metropolitan House Prices In South Africa: Do They Converge?," South African Journal of Economics, Economic Society of South Africa, vol. 76(2), pages 291-297, 06.
- Steven Cook & Dimitrios Vougas, 2009. "Unit root testing against an ST-MTAR alternative: finite-sample properties and an application to the UK housing market," Applied Economics, Taylor & Francis Journals, vol. 41(11), pages 1397-1404.
- Sei-Wan Kim & Radha Bhattacharya, 2009. "Regional Housing Prices in the USA: An Empirical Investigation of Nonlinearity," The Journal of Real Estate Finance and Economics, Springer, vol. 38(4), pages 443-460, May.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Rangan Gupta).
If references are entirely missing, you can add them using this form.