Peter Englund (Stockholm School of Economics) John Quigley (University of California at Berkeley) Christian Redfearn (University of California at Berkeley)
Additional information is available for the following
registered author(s):
Estimates of the prices of housing and the value of the stock are derived from observations on housing transactions. These transactions may well be a non-random sample of the underlying population of dwellings. For example, it is widely thought that smaller "starter homes" sell more frequently than more expensive properties and that the frequency of transactions on high-valued properties varies over the business cycle. This paper considers the importance of these selectivity issues in making imputations about housing price trends. We estimate a model of housing price determination and of the nonrandom selection of observed transactions. We analyze the factors affecting the probabilities that transactions on different houses will be observed, and we estimate the effect of these factors upon housing prices. The analysis considers a variety of plausible selection models. For each of the alternatives, the estimated effect of selectivity upon housing price calculations is quite substantial. The analysis is based on a unique body of data containing observations of all house sales in Sweden during the period 1981- 1993.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.: