R语言学习笔记——空间面板模型

Spatial lag and Durbin model calucation for static and dynamic panel data

#文件下载：https://datacatalog.worldbank.org/search/dataset/0038272
#World Country Polygons - Very High Definition
library(maptools)
library(spdep)
library(plm)
library(splm)
library(remotes)
library(rgdal)
data_shp<-rgdal::readOGR("WB_countries_Admin0_10m.shp")
names(data_sh)
pdata<-subset(data4p,select=c(IPRI2,INF,gdpl,Population_s,Inno_Index,ID,Year))
pdata_train[,1:5]<-lapply(pdata_train[,1:5],scale)
pdata_train<-pdata_train[complete.cases(pdata_train),]
pdata_train<-pdata.frame(pdata_train,index =c( "ID","Year"))
pdata_train<-make.pbalanced(pdata_train, balance.type = "shared.individuals")


#未完待续