Paneldata-package: Panel data models

In Paneldata: Linear models for panel data

Description

Linear models for panel data: the fixed effect model and the random effect model

Details

Package:	PanelData
Type:	Package
Version:	1.0
Date:	2014-03-16
License:	Artistic-2.0

Panledata is general function for the estimation of linear panel models. It supports the following estimation methods: fixed effect("fe"), random effect("re").

Author(s)

Zaghdoudi Taha

Zaghdoudi Taha <[e-mail]>

References

Amemiyia, T. (1971) The estimation of the variances in a variance–components model, International Economic Review, 12, pp.1–13.

Baltagi, B.H. (1981) Simultaneous equations with error components, Journal of econometrics, 17, pp.21–49.

Baltagi, B.H. (2001) Econometric Analysis of Panel Data. John Wiley and sons. ltd.

Examples

#Create some data 
pib<-as.matrix(c(12,3,4,0.4,0.7,5,0.7,0.3,0.6,89,7,8,45,7,4,5,0.5,5),nrows=18,ncols=1)
tir<-as.matrix(c(12,0.3,4,0.4,7,12,3.0,6.0,45,7.0,0.8,44,65,23,4,6,76,9),nrows=18,ncols=1)
inf<-as.matrix(c(1.2,3.6,44,1.4,0.78,54,0.34,0.66,12,0.7,8.0,12,65,43,5,76,65,8),nrows=18,ncols=1)
npl<-as.matrix(c(0.2,3.8,14,2.4,1.7,43,0.2,0.5,23,7.8,88,36,65,3,44,65,7,34),nrows=18,ncols=1)
# create a data frame 
mdata<-data.frame(p=pib,t=tir,int=inf,np=npl)
# fit the fixed function   
fx<-Paneldata(t~p+int+np,mdata,n=6,t=3,model="fe")
summary(fx)
# fit the random function
rx<-Paneldata(t~p+int+np,mdata,n=6,t=3,model="re")
summary(rx)

Example output

$call
Paneldata.formula(formula = t ~ p + int + np, data = mdata, n = 6, 
    t = 3, model = "fe")

$coefficients
                 Estimate      Std.Err       T value     Pr(>z)
(Intercept) -1.661707e-34 7.712676e-26 -2.154514e-09 1.00000000
p           -7.320181e-02 3.438750e-01 -2.128733e-01 0.83449425
int          5.643656e-01 3.035607e-01  1.859152e+00 0.08415063
np          -2.936620e-01 2.961002e-01 -9.917655e-01 0.33814463

$call
Paneldata.formula(formula = t ~ p + int + np, data = mdata, n = 6, 
    t = 3, model = "re")

$coefficients
               Estimate    Std.Err    T value     Pr(>z)
(Intercept) 12.78988444 19.4115730  0.6588793 0.52066339
p           -0.04515299  0.2715156 -0.1662998 0.87029887
int          0.55080874  0.2406516  2.2888222 0.03814986
np          -0.26792475  0.2342418 -1.1437954 0.27188959

Paneldata documentation built on May 2, 2019, 3:47 p.m.