专栏名称: momo
Stata+R,从入门到提高
今天看啥  ›  专栏  ›  momo

Stata学习:如何进行格兰杰非因果检验?xtgrangert

momo  · 知乎专栏  ·  · 2024-06-25 10:22

文章预览

文献来源 Hossaion, M. R., et al. (2024). Empowering energy transition: Green innovation, digital finance, and the path to sustainable prosperity through green finance initiatives Appendix A. Supplementary data 【数据+Stata】 示例代码 cd "C:\Download \1 -s2.0-S0140988324004444-mmc1\data and code" import excel "df_2.xlsx" , sheet ( "log_v1" ) firstrow case ( lower ) clear xtset year id // Judios Granger Casuality test xtgrangert gi gdp_1 , maxlags ( 1 ) het xtgrangert gdp_1 gi , maxlags ( 1 ) het 得到结果 Juodis, Karavias and Sarafidis (2021) Granger non-causality Test ------------------------------------------------------------------------------ Number of units= 18 Obs. per unit (T) = 14 Number of lags = 1 BIC = -88.28747 ------------------------------------------------------------------------------ JKS non-causality test H0: gdp_1 does not Granger-cau ………………………………

原文地址:访问原文地址
快照地址: 访问文章快照
总结与预览地址:访问总结与预览