Nonlinearity of the Relationship between Human Capital and Exportation in Brazil
Table 4
Results of regressions run using , and GMM Models, the dependent variable is exportation ().
Variables
GMM
(1)
(2)
(3)
(4)
(5)
(6)a
0.82*
(0,07)
0.54*
0.53*
0.43*
0.46*
0.13ns
(0.08)
(0.09)
(0.06)
(0.05)
(0.11)
1.54*
0.96*
0.964*
0.41***
0.76**
(0.40)
(0.37)
(0.24)
(0.23)
(0.30)
−0.11*
−0.07**
−0.064*
−0.03***
−0.057**
(0.04)
(0.03)
(0.02)
(0.02)
(0.02)
0.87*
1.04*
0.96*
1.18*
0.22***
(0.13)
(0.19)
(0.09)
(0.11)
(0.13)
Central West
−0.26ns
0.16ns
(0.38)
(0.29)
Northeast
−0.02ns
−0.20ns
(0.45)
(0.22)
North
1.01*
1.19*
(0.46)
(0.27)
South
0.85*
0.91*
(0.29)
(0.19)
Constant
−12.29*
−13.12*
−10.32*
−12.18*
−5.10*
0.95
0.96
AR(2) (2nd order serial correlation, P value)
0.69
Sargan test
0.74
(inflection point)b
7.0
6.9
7.5
6.8
6.7
Number of observations
324
324
324
324
297
Source: estimated by the authors.
*Indicates level of significance of 1%; **indicates level of significance of 5%; ***indicates level of significance of under 10%, ns: nonsignificant. Robust std error are in parentheses; aTime dummies are not reported; bsee endnote number 12.