Hi,
I ran 3 plm regressions (fixed effects) : twoways, individual and time
effects are added. I noticed that I am getting the same results in each
model. I expect the results to be different given the varying effects
introduced in each model.
Can you please help sort this out, please? or Am I running the models
incorrectly?
Thanks
london
see the code and output below:
*> p1=plm(rgdppctg~log(rgdppct0)+log(s)+inv+govcons+Mortality+Oil,
data=pdata, model="within", effects="twoways")
> summary(p1)*
Oneway (individual) effect Within Model
Call:
plm(formula = rgdppctg ~ log(rgdppct0) + log(s) + in + govcons + Mortality +
Oil, data = pdata, model = "within",
effects = "/twoways/")
Balanced Panel: n=61, T=6, N=366
Residuals :
Min. 1st Qu. Median 3rd Qu. Max.
-0.190000 -0.014400 -0.000849 0.013900 0.162000
Coefficients :
Estimate Std. Error t-value Pr(>|t|)
log(rgdppct0) -6.7528e-02 9.1153e-03 -7.4082 1.317e-12 ***
log(s) 2.3820e-02 4.9427e-03 4.8193 2.295e-06 ***
in 1.4166e-01 3.2254e-02 4.3921 1.560e-05 ***
govcons -1.1618e-01 6.9840e-02 -1.6635 0.09726 .
Mortality -1.7923e+00 1.0105e+00 -1.7736 0.07714 .
Oil 4.9927e-05 3.8419e-05 1.2995 0.19476
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Total Sum of Squares: 0.41398
Residual Sum of Squares: 0.30593
R-Squared : 0.261
Adj. R-Squared : 0.21322
F-statistic: 17.5998 on 6 and 299 DF, p-value: < 2.22e-16
####################################################################################
*> p1=plm(rgdppctg ~ log(rgdppct0) + log(s) + in + govcons + Mortality +
Oil, data = pdata, model = "within", effects="individual")
> summary(p1)*
Oneway (individual) effect Within Model
Call:
plm(formula = rgdppctg ~ log(rgdppct0) + log(s) + in + govcons + Mortality +
Oil, data = pdata, model = "within",
effects = "/individual/")
Balanced Panel: n=61, T=6, N=366
Residuals :
Min. 1st Qu. Median 3rd Qu. Max.
-0.190000 -0.014400 -0.000849 0.013900 0.162000
Coefficients :
Estimate Std. Error t-value Pr(>|t|)
log(rgdppct0) -6.7528e-02 9.1153e-03 -7.4082 1.317e-12 ***
log(schooling) 2.3820e-02 4.9427e-03 4.8193 2.295e-06 ***
investments 1.4166e-01 3.2254e-02 4.3921 1.560e-05 ***
govcons -1.1618e-01 6.9840e-02 -1.6635 0.09726 .
Mortality -1.7923e+00 1.0105e+00 -1.7736 0.07714 .
OilCons 4.9927e-05 3.8419e-05 1.2995 0.19476
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Total Sum of Squares: 0.41398
Residual Sum of Squares: 0.30593
R-Squared : 0.261
Adj. R-Squared : 0.21322
F-statistic: 17.5998 on 6 and 299 DF, p-value: < 2.22e-16
####################################################################################
*> p1=plm(rgdppctg ~ log(rgdppct0) + log(s) + in + govcons + Mortality +
Oil, data = pdata, model = "within", effects="/time/")
> summary(p1)*
Oneway (individual) effect Within Model
Call:
plm(formula = rgdppctg ~ log(rgdppct0) + log(s) + in + govcons + Mortality +
Oil, data = pdata, model = "within",
effects = "time")
Balanced Panel: n=61, T=6, N=366
Residuals :
Min. 1st Qu. Median 3rd Qu. Max.
-0.190000 -0.014400 -0.000849 0.013900 0.162000
Coefficients :
Estimate Std. Error t-value Pr(>|t|)
log(rgdppct0) -6.7528e-02 9.1153e-03 -7.4082 1.317e-12 ***
log(s) 2.3820e-02 4.9427e-03 4.8193 2.295e-06
***
in 1.4166e-01 3.2254e-02 4.3921 1.560e-05
***
govcons -1.1618e-01 6.9840e-02 -1.6635 0.09726 .
Mortality -1.7923e+00 1.0105e+00 -1.7736 0.07714 .
Oil 4.9927e-05 3.8419e-05 1.2995 0.19476
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Total Sum of Squares: 0.41398
Residual Sum of Squares: 0.30593
R-Squared : 0.261
Adj. R-Squared : 0.21322
F-statistic: 17.5998 on 6 and 299 DF, p-value: < 2.22e-16
--
View this message in context:
http://r.789695.n4.nabble.com/plm-package-problem-tp4674446.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
