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Housing Market Spillovers in South Africa: Evidence from an Estimated Small Open Economy DSGE Model

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  • Rangan Gupta

    () (Department of Economics, University of Pretoria)

  • Xiaojin Sun

    () (Department of Economics and Finance, University of Texas at El Paso)

Abstract

This paper evaluates, for the first time, the impact of housing market spillovers on a small open economy, namely South Africa, using a small-open economy new Keynesian dynamic stochastic general equilibrium model (SOE-NKDSGE) which explicitly incorporates a housing sector. Using quarterly data covering the period of 1971:Q1-2015:Q3, we obtain the following set of results: (a) Over the business cycle, the housing preference shock and the technology shock in the consumption sector drive most of the fluctuations of real house price; (b) The spillover effects of the housing market to the boarder economy are not negligible; (c) The central bank of South Africa has actively responded to house price movements over the past 45 years; and (d) The flexible exchange rate policy has helped South Africa maintain the macroeconomic stability to a large extent.

Suggested Citation

  • 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.
  • Handle: RePEc:pre:wpaper:201641
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    References listed on IDEAS

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    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. Farmer, Roger E.A. & Khramov, Vadim & Nicolò, Giovanni, 2015. "Solving and estimating indeterminate DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 54(C), pages 17-36.
    3. Funke, Michael & Paetz, Michael & Pytlarczyk, Ernest, 2011. "Stock market wealth effects in an estimated DSGE model for Hong Kong," Economic Modelling, Elsevier, vol. 28(1-2), pages 316-334, January.
    4. Christophe Andre & Rangan Gupta & Patrick T. Kanda, 2012. "Do House Prices Impact Consumption and Interest Rate? Evidence from OECD Countries using an Agnostic Identification Procedure," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 58(1), pages 19-70.
    5. Morris A. Davis, 2010. "housing and the business cycle," The New Palgrave Dictionary of Economics, Palgrave Macmillan.
    6. Matteo Iacoviello, 2005. "House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle," American Economic Review, American Economic Association, vol. 95(3), pages 739-764, June.
    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. Ambrogio Cesa‐Bianchi & Luis Felipe Cespedes & Alessandro Rebucci, 2015. "Global Liquidity, House Prices, and the Macroeconomy: Evidence from Advanced and Emerging Economies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 301-335, 03.
    9. Hideaki Hirata & M. Ayhan Kose & Christopher Otrok & Marco E Terrones, 2013. "Global House Price Fluctuations: Synchronization and Determinants," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 9(1), pages 119-166.
    10. Thomas A. Lubik & Frank Schorfheide, 2004. "Testing for Indeterminacy: An Application to U.S. Monetary Policy," American Economic Review, American Economic Association, vol. 94(1), pages 190-217, March.
    11. 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.
    12. Daria Finocchiaro & Virginia Queijo Heideken, 2013. "Do Central Banks React to House Prices?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(8), pages 1659-1683, December.
    13. Sun, Xiaojin & Tsang, Kwok Ping, 2014. "Optimal interest rate rule in a DSGE model with housing market spillovers," Economics Letters, Elsevier, vol. 125(1), pages 47-51.
    14. Funke, Michael & Paetz, Michael, 2013. "Housing prices and the business cycle: An empirical application to Hong Kong," Journal of Housing Economics, Elsevier, vol. 22(1), pages 62-76.
    15. Cesa-Bianchi, Ambrogio, 2013. "Housing cycles and macroeconomic fluctuations: A global perspective," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 215-238.
    16. Jordi Galí & Tommaso Monacelli, 2005. "Monetary Policy and Exchange Rate Volatility in a Small Open Economy," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 707-734.
    17. 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.
    18. Matteo Iacoviello & Stefano Neri, 2010. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 125-164, April.
    19. Ndahiriwe Kasai & Rangan Gupta, 2010. "Financial Liberalization and the Effectiveness of Monetary Policy on House Prices in South Africa," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(4), pages 59-74, November.
    20. Goodness C. Aye & Rangan Gupta & Alain Kaninda & Wendy Nyakabawo & Aarifah Razak, 2013. "House Price, Stock Price and Consumption in South Africa: A Structural VAR Approach," Working Papers 201309, University of Pretoria, Department of Economics.
    21. Vittorio Peretti & Rangan Gupta & Roula Inglesi-Lotz, 2012. "Do House Prices Impact Consumption and Interest Rate in South Africa? Evidence from a Time-Varying Vector Autoregressive Model," Working Papers 201216, University of Pretoria, Department of Economics.
    22. Goodness C. Aye & Rangan Gupta & Mampho P. Modise, 2015. "Do Stock Prices Impact Consumption and Interest Rate in South Africa? Evidence from a Time-varying Vector Autoregressive Model," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(2), pages 176-196, August.
    23. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    24. Baele, Lieven & Bekaert, Geert & Cho, Seonghoon & Inghelbrecht, Koen & Moreno, Antonio, 2015. "Macroeconomic regimes," Journal of Monetary Economics, Elsevier, vol. 70(C), pages 51-71.
    25. Marc Giannoni & Michael Woodford, 2003. "How forward-looking is optimal monetary policy?," Proceedings, Federal Reserve Bank of Cleveland, pages 1425-1483.
    26. 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.
    27. Darracq Pariès, Matthieu & Notarpietro, Alessandro, 2008. "Monetary policy and housing prices in an estimated DSGE for the US and the euro area," Working Paper Series 972, European Central Bank.
    28. Ambrogio Cesa-Bianchi & Luis Felipe Céspedes & Alessandro Rebucci, 2015. "Global Liquidity, House Prices and the Macroeconomy: Evidence from Advanced and Emerging Economies," IDB Publications (Working Papers) 6865, Inter-American Development Bank.
    29. 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.
    30. Gupta, Rangan & Jurgilas, Marius & Kabundi, Alain, 2010. "The effect of monetary policy on real house price growth in South Africa: A factor-augmented vector autoregression (FAVAR) approach," Economic Modelling, Elsevier, vol. 27(1), pages 315-323, January.
    31. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    32. Roula Inglesi-Lotz & Rangan Gupta, 2013. "The long-run relationship between house prices and inflation in South Africa: an ARDL approach," International Journal of Strategic Property Management, Taylor & Francis Journals, vol. 17(2), pages 188-198, June.
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    Citations

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    Cited by:

    1. Rangan Gupta & Hylton Hollander & Mark E. Wohar, 2016. "The Impact of Oil Shocks in a Small Open Economy New-Keynesian Dynamic Stochastic General Equilibrium Model for South Africa," Working Papers 201652, University of Pretoria, Department of Economics.
    2. Guangling Liu & Thabang Molise, 2018. "Is Basel III counter-cyclical: The case of South Africa?," Working Papers 10/2018, Stellenbosch University, Department of Economics.

    More about this item

    Keywords

    Housing Market; Spillovers; Monetary Policy; Dynamic Stochastic General Equilibrium Model; South Africa;

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • 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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