.png){kind=icon}
返回
Estimating dynamic local interactions models
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jeconom.2006.09.012.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents empirical methods for studying a class of local interactions models in which agents' transitions are affected by their neighbors' states. We consider an application to urban unemployment and social networks in job search using publicly available cross-section and retrospective data. Most links in our model are local, but some span an entire metropolitan area. Our methods are designed to accommodate the presence of strong cross-sectional dependence arising from these few cross-metro-area links. We also present simple methods to compare data and model spell distributions and to illustrate the model's dynamic properties. (C) 2006 Elsevier B.V. All rights reserved.
Keyword:
local interactions
spatial econometrics
unemployment
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4
论文数:
5.2K
被引数:
3.0W
机构
暂无机构信息
引用论文
.png){kind=icon}
查看更多内容