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House Prices and Economic Growth in South Africa: Evidence from Provincial-Level Data

Author

Listed:
  • Beatrice D. Simo-Kengne

    (Department of Economics, University of Pretoria)

  • Manoel Bittencourt

    (Department of Economics, University of Pretoria)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

Abstract

This paper empirically examines the effect of house price changes on economic growth across provinces in South Africa. The economic impact of house prices is estimated using a panel data set that covers all nine provinces in South Africa from 1996 to 2010. We find that when heterogeneity, endogeneity and spatial dependence are controlled for, house price changes exhibit a significant effect on regional economic growth in South Africa. The paper then introduces a Seemingly Unrelated Regression (SUR) specification and shows that spatial effects are highly important in South African housing markets. Moreover, the estimation results suggest that the wealth effect is important at the aggregated level which contrasts the relevance of the collateral effect found at the regional level.

Suggested Citation

  • 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.
  • Handle: RePEc:pre:wpaper:201116
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    1. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    4. Holly, Sean & Pesaran, M. Hashem & Yamagata, Takashi, 2010. "A spatio-temporal model of house prices in the USA," Journal of Econometrics, Elsevier, vol. 158(1), pages 160-173, September.
    5. Kostas Tsatsaronis & Haibin Zhu, 2004. "What drives housing price dynamics: cross-country evidence," BIS Quarterly Review, Bank for International Settlements, March.
    6. Ortalo-Magne, Francois & Rady, Sven, 2004. "Housing transactions and macroeconomic fluctuations: a case study of England and Wales," Journal of Housing Economics, Elsevier, vol. 13(4), pages 287-303, December.
    7. Steve Bond & Asli Leblebicioglu & Fabio Schiantarelli, 2010. "Capital accumulation and growth: a new look at the empirical evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(7), pages 1073-1099, November/.
    8. 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.
    9. Jim Clayton & Norman Miller & Liang Peng, 2010. "Price-volume Correlation in the Housing Market: Causality and Co-movements," The Journal of Real Estate Finance and Economics, Springer, vol. 40(1), pages 14-40, January.
    10. Campbell, John Y. & Cocco, Joao F., 2007. "How do house prices affect consumption? Evidence from micro data," Journal of Monetary Economics, Elsevier, vol. 54(3), pages 591-621, April.
    11. Swamy, P A V B & Tavlas, George S, 1995. "Random Coefficient Models: Theory and Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 9(2), pages 165-196, June.
    12. 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.
    13. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    14. Hanno Lustig & Stijn Van Nieuwerburgh, 2010. "How Much Does Household Collateral Constrain Regional Risk Sharing?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(2), pages 265-294, April.
    15. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," Review of Economic Studies, Oxford University Press, vol. 47(1), pages 239-253.
    16. Demary, Markus, 2009. "The Link between Output, Inflation, Monetary Policy and Housing Price Dynamics," MPRA Paper 15978, University Library of Munich, Germany.
    17. Gregory D Sutton, 2002. "Explaining changes in house prices," BIS Quarterly Review, Bank for International Settlements, September.
    18. 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).
    19. Ortalo-Magne, Francois & Rady, Sven, 2004. "Housing Transactions and Macroeconomic Fluctuations: A Case Study of England," 2004 Meeting Papers 207c, Society for Economic Dynamics.
    20. Norman Miller & Liang Peng & Michael Sklarz, 2011. "House Prices and Economic Growth," The Journal of Real Estate Finance and Economics, Springer, vol. 42(4), pages 522-541, May.
    21. Shigeyuki Hamori & Yoshihiro Hashiguchi, 2012. "Small sample properties of CIPS panel unit root test under conditional and unconditional heteroskedasticity," Economics Bulletin, AccessEcon, vol. 32(3), pages 2353-2365.
    22. Kazuhiko Hayakawa, 2006. "The Asymptotic Properties of the System GMM Estimator in Dynamic Panel Data Models When Both N and T are Large," Hi-Stat Discussion Paper Series d05-129, Institute of Economic Research, Hitotsubashi University.
    23. 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.
    24. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    25. Vahram Stepanyan & Mr. Tigran Poghosyan & Aidyn Bibolov, 2010. "House Price Determinants in Selected Countries of the Former Soviet Union," IMF Working Papers 2010/104, International Monetary Fund.
    26. W.A. Naudé & W.F. Krugell, 2006. "Sub‐national growth rate differentials in South Africa: an econometric analysis," Papers in Regional Science, Wiley Blackwell, vol. 85(3), pages 443-457, August.
    27. 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.
    28. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    29. 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 631-652, Special I.
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    Citations

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    Cited by:

    1. Nyakabawo, Wendy & Miller, Stephen M. & Balcilar, Mehmet & Das, Sonali & Gupta, Rangan, 2015. "Temporal causality between house prices and output in the US: A bootstrap rolling-window approach," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 55-73.
    2. Tsangyao Chang & Wen-Chi Liu & Goodness C. Aye & Rangan Gupta, 2016. "Are there housing bubbles in South Africa? Evidence from SPSM-based panel KSS test with a Fourier function," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 18(5), pages 517-532.
    3. Rangan Gupta & Charl Jooste & Kanyane Matlou, 2014. "A time-varying approach to analysing fiscal policy and asset prices in South Africa," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 6(1), pages 46-63, April.
    4. Alexander Zimper, 2014. "The minimal confidence levels of Basel capital regulation," Journal of Banking Regulation, Palgrave Macmillan, vol. 15(2), pages 129-143, April.
    5. Tsangyao Chang & Tsung-Pao Wu & Rangan Gupta, 2015. "Are house prices in South Africa really nonstationary? Evidence from SPSM-based panel KSS test with a Fourier function," Applied Economics, Taylor & Francis Journals, vol. 47(1), pages 32-53, January.
    6. Beatrice D. Simo-Kengne & Rangan Gupta & Manoel Bittencourt, 2013. "The Impact of House Prices on Consumption in South Africa: Evidence from Provincial-Level Panel VARs," Housing Studies, Taylor & Francis Journals, vol. 28(8), pages 1133-1154, November.
    7. Aye, Goodness C. & Balcilar, Mehmet & Bosch, Adél & Gupta, Rangan, 2014. "Housing and the business cycle in South Africa," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 471-491.
    8. Goodness C. Aye & Mehmet Balcilar & Rangan Gupta & Charl Jooste & Stephen M. Miller & Zeynel Abidin Ozdemir, 2012. "Fiscal Policy Shocks and the Dynamics of Asset Prices: The South African Experience," Working Papers 1211, University of Nevada, Las Vegas , Department of Economics.
    9. Beatrice D. Simo - Kengne & Mehmet Balcilar & Rangan Gupta & Monique Reid & Goodness C. Aye, 2012. "Is the relationship between monetary policy and house prices asymmetric in South Africa? Evidence from a Markov-Switching Vector Autoregressive mode," Working Papers 15-26, Eastern Mediterranean University, Department of Economics.
    10. repec:ipg:wpaper:2014-476 is not listed on IDEAS
    11. Luis A. Gil-Alana & Goodness C. Aye & Rangan Gupta, 2012. "Testing for Persistence with Breaks and Outliers in South African House Prices," Working Papers 201233, University of Pretoria, Department of Economics.
    12. Simo-Kengne, Beatrice D. & Balcilar, Mehmet & Gupta, Rangan & Reid, Monique & Aye, Goodness C., 2013. "Is the relationship between monetary policy and house prices asymmetric across bull and bear markets in South Africa? Evidence from a Markov-switching vector autoregressive model," Economic Modelling, Elsevier, vol. 32(C), pages 161-171.
    13. Tsangyao Chang & Beatrice D. Simo-Kengne & Rangan Gupta, 2013. "The Causal Relationship between House Prices and Economic Growth in the Nine Provinces of South Africa: Evidence from Panel-Granger Causality Tests," Working Papers 201317, University of Pretoria, Department of Economics.

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    More about this item

    Keywords

    House prices; Economic growth; Spatial dependence; Panel data;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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