Using the Consumer Price Index in Forecasting for Small Geographic Areas
Joseph S. Rabianski (),
Julian Diaz () and
Neil G. Carn Additional contact information Joseph S. Rabianski: Department of Real Estate Georgia State University Atlanta, Georgia 30302-4020, http://www.cba.gsu.edu/ Julian Diaz: Department of Real Estate Georgia State University Atlanta, Georgia 30302-4020, http://www.cba.gsu.edu/ Neil G. Carn: Department of Real Estate Georgia State University Atlanta, Georgia 30302-4020, http://www.cba.gsu.edu/
Abstract:
The usefulness of the consumer price index (CPI) as a tool for updating and forecasting income and house values in small geographic market areas is explored in this paper. The topic is introduced by briefly discussing the construction of the CPI and its traditional use as an updating index. The accuracy of such employment is examined statistically with data from 191 census tracts in the metropolitan Atlanta area. For the data set examined, use of the CPI for updating both income and house values is associated with significant and systematic error and bias calling into question its usefulness.
JEL-codes:L85 (search for similar items in EconPapers) Date: 1994
Ordering information: This journal article can be ordered from Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323 http://aux.zicklin.b ... u/jrer/about/get.htm
Journal of Real Estate Research is edited by Dr. Ko Wang
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