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Abstract
Hedonic pricing models that include a variable measuring the number of days a property was on the market produce varied coefficients, with most being negative. This study uses meta-regression to examine the relationship between selling price and time-on-the-market (TOM) for residential properties. The meta-regression model tests whether the TOM coefficient is affected by the year of sale, income, model specification, and location. The results show that the TOM coefficient is sensitive to time of sale, income, size of the hedonic model, and model specification. The TOM coefficient is not sensitive to geographical location.