Measurement Error in Residential Property Valuation: An Application of Forecast Combination

41 Pages Posted: 30 May 2015 Last revised: 18 Sep 2016

See all articles by Dennis Glennon

Dennis Glennon

Government of the United States of America - Office of the Comptroller of the Currency (OCC)

Hua Kiefer

FDIC

Tom Mayock

Virginia Tech

Date Written: July 6, 2016

Abstract

In this study we use property-level transaction data to construct several different out-of-sample forecasts for the sales of individual homes in 10 counties in Florida. We utilize a number of common forecast combination methods and analyze the properties of their forecast errors. The results from this analysis suggest that relatively simple forecast combination schemes have the potential to reduce the error in property value estimates, possibly by a wide margin. Lastly, we find that the forecast error associated with constructing valuations using popular house price indices has been very large in our sample.

Keywords: Housing Valuation, Forecast Combination

JEL Classification: C53, R31

Suggested Citation

Glennon, Dennis and Kiefer, Hua and Mayock, Tom, Measurement Error in Residential Property Valuation: An Application of Forecast Combination (July 6, 2016). Available at SSRN: https://ssrn.com/abstract=2610865 or http://dx.doi.org/10.2139/ssrn.2610865

Dennis Glennon

Government of the United States of America - Office of the Comptroller of the Currency (OCC) ( email )

250 E Street, SW
Senior Financial Economist; Economics Department
Washington, DC 20219-0001
United States
202-874-4725 (Phone)
202-874-5394 (Fax)

Hua Kiefer

FDIC ( email )

550 17th Street NW
Washington, DC 20429
United States

Tom Mayock (Contact Author)

Virginia Tech ( email )

Blacksburg, VA
United Kingdom

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