Semi-parametric models for satisfaction with income
Semi-parametric models for satisfaction with income
复制标题
收入满意度的半参数模型
DOI：
10.1007/s10258-002-0006-z
复制
发表时间：
2002
影响因子：
1.3
通讯作者：
A. Soest
中科院分区：
文献类型：
--
作者：
Charles Bellemare;B. Melenberg;A. Soest
概述了一些可用于分析有序响应变量的参数和半参数模型、估计器和规格检验。特别是，将推广有序概率的有限因变量模型与推广线性模型的回归模型进行比较。然后应用这些技术来分析自我报告的家庭收入满意度与家庭收入、家庭结构和其他背景变量之间的关系。数据取自德国社会经济小组1998年的浪潮。结果被用来估计等价量表和儿童的费用。我们发现，标准的有序概率模型被拒绝了，而一些半参数规范在非参数备选方案的规范测试中幸存下来。然而，对于参数和半参数规范，估计的等价性尺度通常是相似的。
An overview is presented of some parametric and semi-parametric models, estimators, and specification tests that can be used to analyze ordered response variables. In particular, limited dependent variable models that generalize ordered probit are compared to regression models that generalize the linear model. These techniques are then applied to analyze how self-reported satisfaction with household income relates to household income, family composition, and other background variables. Data are drawn from the 1998 wave of the German Socio-Economic Panel. The results are used to estimate equivalence scales and the cost of children. We find that the standard ordered probit model is rejected, while some semi-parametric specifications survive specification tests against nonparametric alternatives. The estimated equivalence scales, however, are often similar for the parametric and semi-parametric specifications.
影响因子：
6.1
作者：
ROBINSON, PM
通讯作者：
ROBINSON, PM
影响因子：
6.3
作者：
ICHIMURA, H
通讯作者：
ICHIMURA, H