We estimate an accelerated failure time (AFT) model to investigate the effects of several characteristics suggested as indicators of firm survival for initial public offerings (lPOs). The results indicate that the survival time for IPOs increases with size, age of the firm at the offering, the initial return, IPO activity level in the market, and the percentage of insider ownership, while the survival time decreases with increases in the general market level at the time of the offering and the number of risk characteristics. Additionally, the survival time is negatively affected if the IPO is in the computer and data, wholesale, restaurant, or airline industries and positively affected if the IPO is in the optical or drug industries.

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A two-stage least squares model of housing prices is estimated with data collected from 3358 single-family home transactions. The results provide evidence for an optimal marketing period and indicate that a liquidity premium is priced in single-family home sales. Consistent with the hypothesis derived from economic search models, the model shows higher selling prices for houses having longer expected marketing periods. The model also shows a price premium for houses that sell faster than expectations. This effect supports the concept that liquidity is a value-enhancing characteristic. Copyright American Real Estate and Urban Economics Association.

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