IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

An In-Sample and Out-of-Sample Empirical Investigation of the Nonlinearity in House Prices of South Africa

  • Mehmet Balcilar

    ()

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

  • Rangan Gupta

    ()

    (Department of Economics, University of Pretoria)

  • Zahra Shah

    ()

    (Department of Economics, University of Pretoria)

This paper first tests if housing prices in the five segments of the South African housing market, namely, large-middle, medium-middle, small-middle, luxury and affordable, exhibits non-linearity based on smooth transition autoregressive (STAR) models estimated using quarterly data covering the period of 1970:Q2 to 2009:Q3. We find overwhelming evidence of non-linearity in these five segments based on in-sample evaluation of the linear and non-linear models. We then provide further support for non-linearity by comparing one- to four-quarters-ahead out-of-sample forecasts of the non-linear time series model with those of the classical and Bayesian versions of the linear autoregressive (AR) models for each of these segments, over an out-of-sample horizon of 2001:Q1 to 2009:Q3, using an in-sample period from 1970:Q2 to 2000:Q4. Our results indicate that barring the one-, two and four-step(s)-ahead forecasts of the small-middle-segment, the non-linear model always outperforms the linear models.

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Paper provided by University of Pretoria, Department of Economics in its series Working Papers with number 201008.

as
in new window

Length: 17 pages
Date of creation: Mar 2010
Date of revision:
Handle: RePEc:pre:wpaper:201008
Contact details of provider: Postal: PRETORIA, 0002
Phone: (+2712) 420 2413
Fax: (+2712) 362-5207
Web page: http://www.up.ac.za/economics
More information through EDIRC

References listed on IDEAS
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.:

as in new window
  1. Rapach, David E. & Strauss, Jack K., 2009. "Differences in housing price forecastability across US states," International Journal of Forecasting, Elsevier, vol. 25(2), pages 351-372.
  2. James H. Stock & Mark W. Watson, 2001. "Forecasting output and inflation: the role of asset prices," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
  3. Rangan Gupta & Sonali Das, 2010. "Predicting Downturns in the US Housing Market: A Bayesian Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 41(3), pages 294-319, October.
  4. Rangan Gupta & Stephen Miller, 2012. "“Ripple effects” and forecasting home prices in Los Angeles, Las Vegas, and Phoenix," The Annals of Regional Science, Springer, vol. 48(3), pages 763-782, June.
  5. Karl E. Case, John M. Quigley, Robert J. Shiller., 2001. "Comparing Wealth Effects: The Stock Market versus The Housing Market," Economics Working Papers E01-308, University of California at Berkeley.
  6. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2002. "Do Financial Variables Help Forecasting Inflation and Real Activity in the Euro Area?," CEPR Discussion Papers 3146, C.E.P.R. Discussion Papers.
  7. Andra C. Ghent & Michael T. Owyang, 2009. "Is housing the business cycle? evidence from U.S. cities," Working Papers 2009-007, Federal Reserve Bank of St. Louis.
  8. Muellbauer, J & Murphy, A, 1996. "Booms and Busts in the UK Housing Market," Economics Papers 125, Economics Group, Nuffield College, University of Oxford.
  9. repec:cup:cbooks:9780521632423 is not listed on IDEAS
  10. Matteo Iacoviello & Stefano Neri, 2007. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," Boston College Working Papers in Economics 659, Boston College Department of Economics, revised 23 Oct 2009.
  11. Englund, Peter & Ioannides, Yannis M., 1997. "House Price Dynamics: An International Empirical Perspective," Journal of Housing Economics, Elsevier, vol. 6(2), pages 119-136, June.
  12. Martha Banbura & Domenico Giannone & Lucrezia Reichlin, 2008. "Large Bayesian VARs," Working Papers ECARES 2008_033, ULB -- Universite Libre de Bruxelles.
  13. Edward E. Leamer, 2007. "Housing IS the Business Cycle," NBER Working Papers 13428, National Bureau of Economic Research, Inc.
  14. repec:cup:cbooks:9780521634809 is not listed on IDEAS
  15. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1983. "Forecasting and Conditional Projection Using Realistic Prior Distributions," NBER Working Papers 1202, National Bureau of Economic Research, Inc.
  16. Ian Christensen & Paul Corrigan & Caterina Mendicino & Shin-Ichi Nishiyama, 2009. "Consumption, Housing Collateral, and the Canadian Business Cycle," Working Papers 09-26, Bank of Canada.
  17. Bernanke, Ben & Gertler, Mark, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Working Papers 95-15, C.V. Starr Center for Applied Economics, New York University.
  18. Chris Bloor & Troy Matheson, 2010. "Analysing shock transmission in a data-rich environment: a large BVAR for New Zealand," Empirical Economics, Springer, vol. 39(2), pages 537-558, October.
  19. Vargas-Silva, Carlos, 2008. "Monetary policy and the US housing market: A VAR analysis imposing sign restrictions," Journal of Macroeconomics, Elsevier, vol. 30(3), pages 977-990, September.
  20. Rangan Gupta, 2006. "FORECASTING THE SOUTH AFRICAN ECONOMY WITH VARs AND VECMs," South African Journal of Economics, Economic Society of South Africa, vol. 74(4), pages 611-628, December.
  21. 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 0972, European Central Bank.
  22. Richard K. Green, 1997. "Follow the Leader: How Changes in Residential and Non-residential Investment Predict Changes in GDP," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 25(2), pages 253-270.
  23. Matteo Iacoviello, 2002. "House prices, borrowing constraints and monetary policy in the business cycle," Boston College Working Papers in Economics 542, Boston College Department of Economics, revised 06 Dec 2004.
  24. Rangan Gupta & Moses m. Sichei, 2006. "A Bvar Model For The South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 74(3), pages 391-409, 09.
  25. Sonali Das & Rangan Gupta & Alain Kabundi, 2009. "Could we have predicted the recent downturn in the South African Housing Market?," Working Papers 149, Economic Research Southern Africa.
  26. Eitrheim, Oyvind & Terasvirta, Timo, 1996. "Testing the adequacy of smooth transition autoregressive models," Journal of Econometrics, Elsevier, vol. 74(1), pages 59-75, September.
  27. Rapach, David E. & Wohar, Mark E., 2006. "In-sample vs. out-of-sample tests of stock return predictability in the context of data mining," Journal of Empirical Finance, Elsevier, vol. 13(2), pages 231-247, March.
  28. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
  29. Gary Engelhardt, 2001. "Nominal Loss Aversion, Housing Equity Constraints, and Household Mobility: Evidence from the United States," Center for Policy Research Working Papers 42, Center for Policy Research, Maxwell School, Syracuse University.
  30. Terasvirta, T & Anderson, H M, 1992. "Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S119-36, Suppl. De.
  31. Efthymios Pavlidis & I Paya & D Peel & A M Spiru, 2009. "Bubbles in House Prices and their Impact on Consumption: Evidence for the US," Working Papers 601552, Lancaster University Management School, Economics Department.
  32. Rapach, David E. & Wohar, Mark E., 2006. "The out-of-sample forecasting performance of nonlinear models of real exchange rate behavior," International Journal of Forecasting, Elsevier, vol. 22(2), pages 341-361.
  33. 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.
  34. Sarantis, Nicholas, 2001. "Nonlinearities, cyclical behaviour and predictability in stock markets: international evidence," International Journal of Forecasting, Elsevier, vol. 17(3), pages 459-482.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:pre:wpaper:201008. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Rangan Gupta)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.