S. Caudill, Ksenija Bogosavljevic, Ken H. Johnson, F. Mixon
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引用次数: 1
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.
本研究对应用计量经济学文献有两个主要贡献。首先,它展示了如何从任何风险模型中获得时间对市场和销售概率的最重要的边际效应。其次,由于Gómez-Déniz, E. 2010,它扩展了几何的泛化。"几何分布的另一种推广"测试19:39 - 415包括协变量,用于估计市场上的时间和房地产销售回归的概率,从而创建一个基于销售概率而不是市场上的时间的全新风险模型。对于广义几何模型,我们给出了销售概率和上市时间的边际效应(近似标准误差)表达式。该公式允许从单一回归模型确定独立变量对销售概率和市场时间的变化的影响。为了比较,我们也得到了这两组流行的威布尔风险模型的边际效应。几何、广义几何和威布尔风险模型,以及每种模型的两组边际效应,利用佛罗里达州一个大都市地区的公寓上市数据进行估计。