Forecasting Housing Prices: Dynamic Factor Model versus LBVAR Model

Yarui Li and David Leatham ()

No 103667, 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania from Agricultural and Applied Economics Association

Abstract: 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.

Keywords: Demand; and; Price; Analysis (search for similar items in EconPapers)
Pages: 29
Date: 2010
New Economics Papers: this item is included in nep-for and nep-ure
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/103667/files/A ... Housing%20Prices.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea11:103667

DOI: 10.22004/ag.econ.103667

Access Statistics for this paper

More papers in 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().