How to do the Panel Data regression in R or python

regression

#1

Hi ,

I am working on the Panel data regression in R with the help of plm package.
I am unable to interpret the results and understand the model output.

I used below R code

attach(UserData)

Pdata <- plm.data(UserData, index=c("UserId", "TimeID"))

Y <- cbind(Answers)

X <- cbind(NoofDaysInWeek,Reputation,ReputationForAccept,BronzeCount,GoldCount,SilverCount,CommentCount,CommentScore)

fixed <- plm(Y~X ,data=Pdata,model=c("within"),effect = "individual")
random <- plm(Y~X ,data=Pdata,model=c("random"),effect = "individual")


plmtest(fixed)


plmtest(random)

#Hausman Test
phtest(random,fixed)



#Breusch-Pagan test 

plmtest(random,effect = "individual",type = "bp")


library(stargazer)
stargazer(random, fixed,  
          se=list(clse(random),clse(fixed)), 
          title="Panel regressions, clustered SEs", type="text", 
          column.labels=c("Pooled OLS", "State FE", "St-Yr FE"), 
          df=FALSE, digits=4)

Can anyone please help me in completing the task.

Regards,
Mithra