The Journal of Real Estate Finance and Economics
Volume 14, Issue 1, Article 5 (Abstract)
Title:	Appraisals, Transaction Incentives, and Smoothing
Author:	Peter Chinloy, Man Cho and Isaac F. Megbolugbe
Abstract:	This paper is structured around three principal objectives. The first is to determine whether any incentives for appraisals support an underlying purchase offer, which may be termed a transaction bias. Appraisals that are lower than purchase prices could involve additional cost for justification and thus undermine the transaction. The second objective is to test whether appraisal data are smoothed or exhibit less volatility than purchase data. The paper compares the volatility of separate appraisal and purchase data. given separate appraisal and purchase time series, the third objective is to derive the implied optimal appraisal updating rule. The model is applied to appraisal and purchase price indices for 3.7 million repeat transactions on mortgages bought by Fannie Mae and Freddie Mac by using monthly data from January 2975 to December 1993. The paper draws three principal conclusions. First, appraisals are systematically higher than purchase data, a first moment differential. Second, appraisal smoothing does not occur generally. Third, the appraisal updating rule for the United States appears to involve error correction whereby underappraisals from previous periods are eventually adjusted.
Keywords:	Appraisal smoothing, appraisal bias, house price indices, house price volatility