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Is a DFM Well-Suited in Forecasting Regional House Price Inflation?

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Author Info

  • Sonali Das

    ()
    (LQM, CSIR, Pretoria)

  • Rangan Gupta

    ()
    (Department of Economics, University of Pretoria)

  • Alain Kabundi

    ()
    (Department of Economics and Econometrics, University of Johannesburg)

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.

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Bibliographic Info

Paper provided by University of Pretoria, Department of Economics in its series Working Papers with number 200814.

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Length: 21 pages
Date of creation: Jun 2008
Date of revision:
Handle: RePEc:pre:wpaper:200814

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Keywords: Dynamic Factor Model; VAR; BVAR; Forecast Accuracy;

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