five

Fitting spatial autoregressive logit and probit models using Stata: The spatbinary command

收藏
DataCite Commons2024-03-01 更新2024-07-03 收录
下载链接:
https://ageconsearch.umn.edu/record/340466
下载链接
链接失效反馈
官方服务:
资源简介:
Starting from version 15, Stata allows users to manage data and fit regressions accounting for spatial relationships through the sp commands. Spatial regressions can be estimated using the spregress, spxtregress, and spivregress commands. These commands allow users to fit spatial autoregressive models in cross-sectional and panel data. However, they are designed to estimate regressions with continuous dependent variables. Although binary spatial regressions are important in applied econometrics, they cannot be estimated in Stata. Therefore, I introduce spatbinary, a Stata command that allows users to fit spatial logit and probit models.
提供机构:
Unknown
创建时间:
2024-03-01
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作