| 李雪松,张巍巍.有序选择因子结构模型的MCMC估计及应用[J].数量经济技术经济研究,2014,(8):131-146 |
| 有序选择因子结构模型的MCMC估计及应用 |
| MCMC estimation of An Ordered Probit Factor Structure Model and Evaluation of China’s Distributional Treatment Effects |
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| DOI： |
| 中文关键词: 政策效应 有序选择因子 结构模型 MCMC估计 |
| 英文关键词: Treatment Effects Ordered Probit Factor Structure Model MCMC Estimation |
| 基金项目: |
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| 中文摘要: |
| 为了评估中国分布类政策效应，根据中国微观数据的变量可得性，本文在Heckman等构建的因子结构模型基础上，将Heckman基准模型中的连续型测度方程调整为离散型有序选择模型，建立了有序选择因子结构模型，并推导出MCMC估计方法。运用该方法，结合中国样本数据，本文对高等教育的分布类政策效应进行了实证估计。有序选择因子结构模型及其MCMC估计方法对于经济政策的分布类效应评估具有普遍的理论适应性和实际应用价值。 |
| 英文摘要: |
| This paper constructs an ordered probit factor structure model through modifying the continuous measurement equation of the baseline factor structure model, which is developed by Heckman, to a discrete ordered probit function to accommodate China’s micro-data structure. Then, the MCMC estimation method is developed and used to evaluate the distributional treatment effects of China’s higher education. The ordered probit factor structure model and its MCMC algorithm are both theoretically and empirically useful to evaluate the distributional treatment effects of general economic policy. |
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