Time on the Market and Probability of Sale Using a Generalized Geometric Hazard Model

Author:

Caudill Steven B.1,Bogosavljevic Ksenija2,Johnson Ken H.2,Mixon Franklin G.3

Affiliation:

1. Department of Economics , Florida Atlantic University , Boca Raton 33431 , FL , USA

2. Department of Finance , Florida Atlantic University , Boca Raton 33431 , FL , USA

3. Center for Economic Education , Columbus State University , Columbus 31907 , GA , USA

Abstract

Abstract This study makes two main contributions to the applied econometrics literature. First, it shows how the all-important marginal effects for time on the market and probability of sale can be obtained from any hazard model. Second, it extends the generalization of the geometric due to Gómez-Déniz, E. 2010. “Another Generalization of the Geometric Distribution.” Test 19: 399–415 to include covariates for use in the estimation of time on the market and probability of sale regressions in real estate, thus creating an entirely new hazard model based on probability of sale rather than time on the market. For the generalized geometric we develop expressions for the marginal effects (with approximate standard errors) for both the probability of sale and time on the market. This formulation allows the impact of changes in independent variables on both the probability of sale and time on the market to be determined from a single regression model. For comparison, we also obtain these two sets of marginal effects for the popular Weibull hazard model. The geometric, generalized geometric, and Weibull hazard models, along with two sets of marginal effects for each, are estimated using data on condominium listings in a metropolitan area in Florida.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Economics and Econometrics,Statistics and Probability

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Stochastic Simulation and Analysis of Geometric Model of Probability;2022 Euro-Asia Conference on Frontiers of Computer Science and Information Technology (FCSIT);2022-12

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