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Housing and the Business Cycle in South Africa

Author

Listed:
  • Goodness C. Aye

    () (Department of Economics, University of Pretoria)

  • Mehmet Balcilar

    () (Department of Economics, Eastern Mediterranean University, Famagusta, North Cyprus,via Mersin 10, Turkey)

  • Adel Bosch

    () (Department of Economics, University of Pretoria)

  • Rangan Gupta

    () (Department of Economics, University of Pretoria)

Abstract

This paper examines the housing-output growth nexus in South Africa by accounting for the time variation in the causal link with a bootstrapped rolling Granger non-causality test. We use quarterly data on real gross domestic product, real house prices, real gross fixed capital formation and number of building plans passed. Our data span 1971Q2-2012Q2. Using full sample bootstrap Granger causality tests, we find a uni-directional causality from output to number of building plans passed; a uni-directional causality from real house price to output and a bi-directional causal link between residential investment and output. However, using parameter stability tests, we show that estimated VARs are unstable, thus full-sample Granger causality inference may be invalid. Hence, we use a bootstrap rolling window estimation to evaluate Granger causality between the housing variables and the growth rate. In general, we find that the causality from housing to output and, vice versa, differ across different sample periods due to structural changes. Specifically speaking, house price is found to have the strongest causal relationship with output compared to residential investment and number of building plans passed, with real house price showing predictive ability in all but one downward phase of the business cycle during this period.

Suggested Citation

  • Goodness C. Aye & Mehmet Balcilar & Adel Bosch & Rangan Gupta, 2013. "Housing and the Business Cycle in South Africa," Working Papers 201323, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201323
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    Cited by:

    1. Aye, Goodness C. & Balcilar, Mehmet & El Montasser, Ghassen & Gupta, Rangan & Manjez, Nangamso C., 2016. "Can debt ceiling and government shutdown predict us real stock returns? A bootstrap rolling window approach. - Gli effetti sui rendimenti azionari reali negli USA del tetto del debito pubblico e del b," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 69(1), pages 11-32.
    2. Rangan Gupta & Patrick T. Kanda & Mampho P. Modise & Alessia Paccagnini, 2015. "DSGE model-based forecasting of modelled and nonmodelled inflation variables in South Africa," Applied Economics, Taylor & Francis Journals, vol. 47(3), pages 207-221, January.
    3. repec:ipg:wpaper:2014-562 is not listed on IDEAS
    4. Christophe André & Nikolaos Antonakakis & Rangan Gupta & Mulatu F. Zerihun, 2017. "Asymmetric Behaviour in Nominal and Real Housing Prices: Evidence from Advanced and Emerging Economies," Working Papers 201711, University of Pretoria, Department of Economics.
    5. Gustafsson, Peter & Stockhammar, Pär & Österholm, Pär, 2016. "Macroeconomic effects of a decline in housing prices in Sweden," Journal of Policy Modeling, Elsevier, pages 242-255.
    6. Rangan Gupta & Patrick T. kanda & Mampho P. Modise & Alessia Paccagnini, 2013. "DSGE Model-Based Forecasting of Modeled and Non-Modeled Inflation Variables in South Africa," Working Papers 201374, University of Pretoria, Department of Economics.
    7. Christou, Christina & Gupta, Rangan & Hassapis, Christis, 2017. "Does economic policy uncertainty forecast real housing returns in a panel of OECD countries? A Bayesian approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 50-60.
    8. Tsung-Hsien Michael Lee & Wenjuan Chen, 2015. "Is There an Asymmetric Impact of Housing on Output?," SFB 649 Discussion Papers SFB649DP2015-020, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    9. Laurie Binge & Willem H Boshoff, 2016. "Modelling South African Art Prices: An analysis of post-2000 price behaviour," Working Papers 18/2016, Stellenbosch University, Department of Economics.
    10. Nikolaos Antonakakis & Mehmet Balcilar & Rangan Gupta & Clement Kyei, 2016. "Components of Economic Policy Uncertainty and Predictability of US Stock Returns and Volatility: Evidence from a Nonparametric Causality-in-Quantile Approach," Working Papers 201639, University of Pretoria, Department of Economics.
    11. Rangan Gupta & Xiaojin Sun, 2016. "Housing Market Spillovers in South Africa: Evidence from an Estimated Small Open Economy DSGE Model," Working Papers 201641, University of Pretoria, Department of Economics.
    12. Hossein Hassani & Zara Ghodsi & Rangan Gupta & Mawuli Segnon, 2017. "Forecasting Home Sales in the Four Census Regions and the Aggregate US Economy Using Singular Spectrum Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 49(1), pages 83-97, January.
    13. Aye, Goodness C., 2016. "Causality between Oil Price and South Africa's Food Price: Time Varying Approach - Relazione di causalità tra prezzo del petrolio e pr ezzo dei prodotti alimentari in Sud Africa: un approccio time var," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 69(3), pages 193-212.

    More about this item

    Keywords

    House price; residential investment; number of building plans; GDP; bootstrap; time varying causality;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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