Forecasting house price inflation: a model combination approach
Abstract
In this paper we use a range of statistical models to forecast New Zealand house price in ation. We address the issue of model uncertainty by combining forecasts using weights based on out-of-sample forecast performance. We consider how the combined forecast for house prices performs relative to both the individual model forecasts and the Reserve Bank of New Zealand's house price forecasts. We find that the combination forecast is on par with the best of the models for most forecast horizons, and has produced lower root mean squared forecast errors than the Reserve Bank's forecasts.Download Info
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Paper provided by Reserve Bank of New Zealand in its series Reserve Bank of New Zealand Discussion Paper Series with number DP2011/07.Length: 32 p.
Date of creation: Nov 2011
Date of revision:
Handle: RePEc:nzb:nzbdps:2011/07
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Keywords:Find related papers by JEL classification:
- E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-04-23 (All new papers)
- NEP-FOR-2012-04-23 (Forecasting)
- NEP-MAC-2012-04-23 (Macroeconomics)
- NEP-URE-2012-04-23 (Urban & Real Estate Economics)
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