IDEAS home Printed from https://ideas.repec.org/p/rza/wpaper/85.html
   My bibliography  Save this paper

Is a DFM Well Suited for Forecasting Regional House Price Inflation?

Author

Listed:
  • Sonali Das
  • Rangan Gupta
  • Alain Kabundi

Abstract

This paper uses the Dynamic Factor Model (DFM) framework, which accommodates a large cross-section of macroeconomic time series for forecasting regional house price inflation. As a case study, we use data on house price inflation for five metropolitan areas of South Africa. The DFM used in this study contains 282 quarterly series observed over the period 1980Q1-2006Q4. The results, based on the Mean Absolute Errors of one- to four-quarters-ahead out of sample forecasts over the period of 2001Q1 to 2006Q4, indicate that, in majority of the cases, the DFM outperforms the VARs, both classical and Bayesian, with the latter incorporating both spatial and non-spatial models. Our results, thus, indicate the blessing of dimensionality.

Suggested Citation

  • Sonali Das & Rangan Gupta & Alain Kabundi, 2008. "Is a DFM Well Suited for Forecasting Regional House Price Inflation?," Working Papers 85, Economic Research Southern Africa.
  • Handle: RePEc:rza:wpaper:85
    as

    Download full text from publisher

    File URL: http://www.econrsa.org/node/109
    Download Restriction: no

    References listed on IDEAS

    as
    1. Guneratne Banda Wickremasinghe & Param Silvapulle, 2004. "Exchange Rate Pass-Through to Manufactured Import Prices: The Case of Japan," International Trade 0406006, EconWPA.
    2. Campa, Jose M. & Goldberg, Linda S. & Gonzalez-Minguez, Jose M., 2005. "Exchange-rate pass-through to import prices in the euro area," IESE Research Papers D/609, IESE Business School.
    3. Amit Kara & Edward Nelson, 2003. "The Exchange Rate and Inflation in the UK," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(5), pages 585-608, November.
    4. Pinelopi Koujianou Goldberg & Michael M. Knetter, 1997. "Goods Prices and Exchange Rates: What Have We Learned?," Journal of Economic Literature, American Economic Association, pages 1243-1272.
    5. Jose Manuel Campa & Linda S. Goldberg, 2002. "Exchange Rate Pass-Through into Import Prices: A Macro or Micro Phenomenon?," NBER Working Papers 8934, National Bureau of Economic Research, Inc.
    6. Khosla, Anil & Teranishi, Juro, 1989. "Exchange Rate Pass-Through in Export Prices -An International Comparison-," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 30(1), pages 31-48, June.
    7. Wing T. Woo, 1984. "Exchange Rates and the Prices of Nonfood, Nonfuel Products," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 15(2), pages 511-536.
    8. Jiawen Yang, 1997. "Exchange Rate Pass-Through In U.S. Manufacturing Industries," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 95-104, February.
    9. Athukorala, Premachandra, 1991. "Exchange rate pass-through : The case of Korean exports of manufactures," Economics Letters, Elsevier, vol. 35(1), pages 79-84, January.
    10. Knetter, Michael M., 1994. "Is export price adjustment asymmetric?: evaluating the market share and marketing bottlenecks hypotheses," Journal of International Money and Finance, Elsevier, vol. 13(1), pages 55-70, February.
    11. Ware, Roger & Winter, Ralph, 1988. "Forward markets, currency options and the hedging of foreign exchange risk," Journal of International Economics, Elsevier, vol. 25(3-4), pages 291-302, November.
    12. Kenichi Ohno, 1989. "Export Pricing Behavior of Manufacturing: A U.S.: Japan Comparison," IMF Staff Papers, Palgrave Macmillan, vol. 36(3), pages 550-579, September.
    13. Dornbusch, Rudiger, 1987. "Exchange Rates and Prices," American Economic Review, American Economic Association, vol. 77(1), pages 93-106, March.
    14. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    15. Ronald Macdonald & Luca Antonio Ricci, 2004. "Estimation Of The Equilibrium Real Exchange Rate For South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 72(2), pages 282-304, June.
    16. Yang, Jian & Guo, Hui & Wang, Zijun, 2006. "International transmission of inflation among G-7 countries: A data-determined VAR analysis," Journal of Banking & Finance, Elsevier, vol. 30(10), pages 2681-2700, October.
    17. Kevin Nell, 2000. "Imported Inflation in South Africa: An Empirical Study," Studies in Economics 0005, School of Economics, University of Kent.
    18. William L. Branson, 1972. "The Trade Effects of the 1971 Currency Realignments," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 3(1), pages 15-70.
    19. Ki-Ho Kim, 1998. "US inflation and the dollar exchange rate: a vector error correction model," Applied Economics, Taylor & Francis Journals, vol. 30(5), pages 613-619.
    20. Marston, Richard C., 1990. "Pricing to market in Japanese manufacturing," Journal of International Economics, Elsevier, vol. 29(3-4), pages 217-236, November.
    21. Feinberg, Robert M, 1991. "The Choice of Exchange-Rate Index and Domestic Price Passthrough," Journal of Industrial Economics, Wiley Blackwell, vol. 39(4), pages 409-420, June.
    22. Kadiyali, Vrinda, 1997. "Exchange rate pass-through for strategic pricing and advertising: An empirical analysis of the U.S. photographic film industry," Journal of International Economics, Elsevier, vol. 43(3-4), pages 437-461, November.
    23. Webber, Anthony G., 2000. "Newton's gravity law and import prices in the Asia Pacific," Japan and the World Economy, Elsevier, vol. 12(1), pages 71-87, January.
    24. Menon, Jayant, 1995. " Exchange Rate Pass-Through," Journal of Economic Surveys, Wiley Blackwell, vol. 9(2), pages 197-231, June.
    25. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    26. Feinberg, Robert M, 1989. "The Effects of Foreign Exchange Movements on U.S. Domestic Prices," The Review of Economics and Statistics, MIT Press, vol. 71(3), pages 505-511, August.
    27. Dwyer, Jacqueline & Kent, Christopher & Pease, Andrew, 1994. "Exchange Rate Pass-Through: Testing the Small Country Assumption for Australia," The Economic Record, The Economic Society of Australia, vol. 70(211), pages 408-423, December.
    28. Marco Rossi & Daniel Leigh, 2002. "Exchange Rate Pass-Through in Turkey," IMF Working Papers 02/204, International Monetary Fund.
    29. Catherine L. Mann, 1986. "Prices, profit margins, and exchange rates," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Jun, pages 366-379.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rangan Gupta & Marius Jurgilas & Alain Kabundi & Stephen M. Miller, 2011. "Monetary policy and housing sector dynamics in a large-scale Bayesian vector autoregressive model," International Journal of Strategic Property Management, Taylor & Francis Journals, vol. 16(1), pages 1-20, August.
    2. 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.
    3. Das, Sonali & Gupta, Rangan & Kabundi, Alain, 2009. "Could we have predicted the recent downturn in the South African housing market?," Journal of Housing Economics, Elsevier, pages 325-335.
    4. Rangan Gupta & Marius Jurgilas & Stephen M. Miller & Dylan van Wyk, 2010. "Financial Market Liberalization, Monetary Policy, and Housing Price Dynamics," Working Papers 201009, University of Pretoria, Department of Economics.

    More about this item

    Keywords

    Dynamic Factor Model; VAR; BVAR; Forecast Accuracy;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rza:wpaper:85. 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: (Charles Tanton). General contact details of provider: http://edirc.repec.org/data/ersacza.html .

    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.

    We have no references for this item. You can help adding them by using 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.