The Blessing Of Dimensionality In Forecasting Real House Price Growth In The Nine Census Divisions Of The Us
AbstractThis paper analyzes whether a wealth of information contained in 126 monthly series used by large-scale Bayesian Vector Autoregressive (LBVAR) models, as well as Factor Augmented Vector Autoregressive (FAVAR) models, either Bayesian or classical, can prove to be more useful in forecasting real house price growth rate of the nine census divisions of the US, compared to the small-scale VAR models, that merely use the house prices. Using the period of 1991:02 to 2000:12 as the in-sample period and 2001:01 to 2005:06 as the out-of-sample horizon, we compare the forecast performance of the alternative models for one- to twelve–months ahead forecasts. Based on the average Root Mean Squared Error (RMSEs) for one- to twelve–months ahead forecasts, we find that the alternative FAVAR models outperform the other models in eight of the nine census divisions.
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Bibliographic InfoPaper provided by University of Pretoria, Department of Economics in its series Working Papers with number 200902.
Length: 21 pages
Date of creation: Jan 2009
Date of revision:
Dynamic Factor Model; BVAR; Forecast Accuracy;
Find related papers by 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-01-24 (All new papers)
- NEP-CBA-2009-01-24 (Central Banking)
- NEP-FOR-2009-01-24 (Forecasting)
- NEP-MAC-2009-01-24 (Macroeconomics)
- NEP-URE-2009-01-24 (Urban & Real Estate Economics)
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- Rangan Gupta, 2012. "Forecasting House Prices for the Four Census Regions and the Aggregate US Economy: The Role of a Data-Rich Environment," Working Papers, University of Pretoria, Department of Economics 201214, University of Pretoria, Department of Economics.
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