This paper is motivated by recent studies of the effect of economic ch
anges (e.g., in population, employment, and income) on house prices (s
ee Mankiw and Weil, Regional Science and Urban Economics, 19, 235-258,
1989; Hendershott and Peach draft paper presented at the AREUEA midye
ar meeting in Washington, DC, 1990; DiPasquale and Wheaton draft paper
presented at the AREUEA midyear meeting in Washington, DC, 1990). The
purpose of this study is to explore the relationship between methods
used to measure house price indices and economic determinants of house
prices at the local level. Non-nested tests proposed by Davidson and
MacKinnon (Econometrica, 49(3), 781-793, 1981) and by Green (Economic
Letters, 31, 349-354, 1989) are extended to deal with contemporaneous
correlation among disturbance terms. Also, a new chi2 test is develope
d to evaluate differences in the functional relationships between alte
rnative house price indices and economic variables. Twomethods for mea
suring house price changes are used: the repeat sales method and the a
ssessed value (AV) method. Data for Hartford, Connecticut, indicate th
at the correlation between the annual rates of change in these two pri
ce indices is high (about 0.8). But the percentage changes in the two
price indices differ substantially over periods of 2 to 10 quarters. N
evertheless, the two price indices are related to economic variables,
such as changes in local employment and unemployment, in a similar way
. The results indicate a strong role for expected inflation and unempl
oyment, both of which reduce house price changes. Furthermore, these v
ariables have considerable forecasting ability, contrary to the effici
ent market hypothesis. Model results could be improved by combining AV
and repeat price indices with about twice as much weight on the AV me
thod. (C) 1994 Academic Press, Inc.