Abstract
We adopt a multistage search model, in which the home seller's reservation price is determined by her or his opportunity cost, search cost, discount rate and additional market parameters. The model indicates that a greater dispersion in offer prices leads to higher reservation and optimal asking prices. A unique dataset from the Tokyo condominium resale market enables us to test those modeled hypotheses. Empirical results indicate that a one percentage point increase in the standard deviation of submarket transaction prices results in a two‐tenths of a percent increase in the initial asking price and in the final transaction price. Increases in the dispersion of market prices enhance the probabilities of a successful transaction and/or an accelerated sale.
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