Bayesian analysis of Spatial Panel Autoregressive Models with time-varying Endogenous Spatial Weights Matrices and Common Factors
| 主讲人 |
韩晓祎助理教授 |
简介 |
<p>Abstract: This paper examines the specification and estimation of spatial panel autoregressive (SAR) models with dynamic,time-varying endogenous spatial weights matrices and common factors. Motivated by the spillover effects of state Medicaid spending on welfare programs, we combine the features of endogenous time-varying weights matrices and common factors for the first time in the SAR panel models. In this particular application, endogeneity of the spatial weights matrices comes from the correlation of “economic distance” and the disturbances in the SAR equation. Common factors are introduced to control for common shocks to all states and factor loadings may capture heterogeneity in states’ responses. For the estimation, the Bayesian MCMC method is developed. Identification of factors and factor loadings, and the corresponding model selection issues based upon the Bayes factor and the deviance information criterion (DIC) are also explored. </p>
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| 时间 |
2015-03-18(星期三)16:40-18:00 |
地点 |
N303 经济楼/Economics Building |
| 讲座语言 |
English |
主办单位 |
王亚南经济研究院、经济学院 |
| 承办单位 |
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类型 |
系列讲座 |
| 联系人信息 |
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主持人 |
林细细 副教授、方颖 副教授 |
| 专题网站 |
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专题 |
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| 主讲人简介 |
<p><span style="line-height: 21px; font-family: Helvetica, Arial, sans-serif;">Assistant Professor in WISE</span></p>
<p>Homepage: <a href="http://hanxiaoyi.weebly.com/">hanxiaoyi.weebly.com/</a></p> |
期数 |
“WISE-SOE双周青年论坛”2015年春季学期第一期（总第50讲） |
