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Linear and Threshold Forecasts of Output and Inflation with Stock and Housing Prices

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  • Greg Tkacz
  • Carolyn A. Wilkins

Abstract

The authors examine whether simple measures of Canadian equity and housing price misalignments contain leading information about output growth and inflation. Previous authors have found that the information content of asset prices in general, and equity and housing prices in particular, are unreliable in that they do not systematically predict future economic activity or inflation. However, earlier studies relied on simple linear relationships that would fail to pick up the potential non-linear effects of asset-price misalignments. The authors' results suggest that housing prices are useful for predicting GDP growth, even within a linear context. Moreover, both stock and housing prices can improve inflation forecasts, especially when using a threshold specification. These improvements in forecast performance are relative to the information contained in Phillips-curve type indicators for inflation and IS-curve type indicators for GDP growth.

Suggested Citation

  • Greg Tkacz & Carolyn A. Wilkins, 2006. "Linear and Threshold Forecasts of Output and Inflation with Stock and Housing Prices," Staff Working Papers 06-25, Bank of Canada.
  • Handle: RePEc:bca:bocawp:06-25
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    References listed on IDEAS

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    Cited by:

    1. Jason Allen & Robert Amano & David P. Byrne & Allan W. Gregory, 2009. "Canadian city housing prices and urban market segmentation," Canadian Journal of Economics, Canadian Economics Association, vol. 42(3), pages 1132-1149, August.
    2. Weida Kuang & Peng Liu, 2015. "Inflation and House Prices: Theory and Evidence from 35 Major Cities in China," International Real Estate Review, Global Social Science Institute, vol. 18(2), pages 217-240.

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    More about this item

    Keywords

    Inflation and prices; Business fluctuations and cycles;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates

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