This paper compares housing price indices estimated using three models with several sets of property transaction data. The commonly used hedonic price model suffers from potential specification bias and inefficiency, while the weighted repeat‐sales model presents potentially more serious bias and inefficiency problems. A hybrid model combining hedonic and repeat‐sales equations avoids most of these sources of bias and inefficiency. This paper evaluates the performance of each type of model using a particularly rich local housing market database. The results, though ambiguous, appear to confirm the problems with the repeat sales model but suggest that systematic differences between repeat‐transacting and single‐transacting properties lead to bias in the hedonic and hybrid models as well.
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