TY  - CPAPER 
AB  - The purpose of this paper is to compare the forecasting power of DFM and LBVAR models as they are used to forecast house price growth rates for 42 metropolitan areas in the United States. The forecasting performances of these two large-scale models are compared based on the Theil U-statistic.
AU  - Li, Yarui
AU  - Leatham, David J.
DA  - 2010
DA  - 2010
DO  - 10.22004/ag.econ.103667
DO  - doi
ID  - 103667
KW  - Demand and Price Analysis
KW  - Housing market
KW  - DFM
KW  - LBVAR
KW  - dynamic PCA
L1  - https://ageconsearch.umn.edu/record/103667/files/AAEA-Forecasting%20Housing%20Prices.pdf
L2  - https://ageconsearch.umn.edu/record/103667/files/AAEA-Forecasting%20Housing%20Prices.pdf
L4  - https://ageconsearch.umn.edu/record/103667/files/AAEA-Forecasting%20Housing%20Prices.pdf
LA  - eng
LA  - English
LK  - https://ageconsearch.umn.edu/record/103667/files/AAEA-Forecasting%20Housing%20Prices.pdf
N2  - The purpose of this paper is to compare the forecasting power of DFM and LBVAR models as they are used to forecast house price growth rates for 42 metropolitan areas in the United States. The forecasting performances of these two large-scale models are compared based on the Theil U-statistic.
PY  - 2010
PY  - 2010
T1  - Forecasting Housing Prices: Dynamic Factor Model versus LBVAR Model
TI  - Forecasting Housing Prices: Dynamic Factor Model versus LBVAR Model
UR  - https://ageconsearch.umn.edu/record/103667/files/AAEA-Forecasting%20Housing%20Prices.pdf
Y1  - 2010
ER  -