Table 8 HDFE/FE regression results... | Emerald Publishing

Table 8

HDFE/FE regression results (Dependent variable: PM₂.₅)

Model statistics
Stat	Model 1	Model 2	Model 3
Observations	850	850	850
F statistic	F(6,33) = 13.22	F(6,24)	F(39,33) = 4927.01
Prob > F	0.0000	0.0000	0.0000
R-squared	0.9668	0.9668
Adj R-squared	0.9641	0.9641
Within R-sq	0.0273	0.0273	0.9012
Root MSE	0.0750	0.0751
Clusters	year = 34	id = 25, year = 34	groups(id) = 25

Model statistics
Stat	Model 1	Model 2	Model 3
Observations	850	850	850
F statistic	F(6,33) = 13.22	F(6,24)	F(39,33) = 4927.01
Prob > F	0.0000	0.0000	0.0000
R-squared	0.9668	0.9668
Adj R-squared	0.9641	0.9641
Within R-sq	0.0273	0.0273	0.9012
Root MSE	0.0750	0.0751
Clusters	year = 34	id = 25, year = 34	groups(id) = 25

Coefficient table (coef (se) with significance)
Variable	M1: Year-cluster	M2: Two-way cluster	M3: FE + Driscoll–Kraay (lag 3)
BUw	−0.017 (0.012)	−0.017 (0.041)	−0.017 (0.012)
FORw	−0.011 (0.002)***	−0.011 (0.009)	−0.011 (0.002)***
BUw × FORw	−0.029 (0.013)**	−0.029 (0.037)	−0.029 (0.020)
GDPpc	0.015 (0.027)	0.015 (0.077)	0.015 (0.039)
URB	0.003 (0.001)***	0.003 (0.005)	0.003 (0.002)*
ARB	−0.003 (0.001)***	−0.003 (0.004)	−0.003 (0.002)*
_cons	2.482 (0.272)***	2.482 (0.893)**	2.482 (0.674)**

Coefficient table (coef (se) with significance)
Variable	M1: Year-cluster	M2: Two-way cluster	M3: FE + Driscoll–Kraay (lag 3)
BUw	−0.017 (0.012)	−0.017 (0.041)	−0.017 (0.012)
FORw	−0.011 (0.002)***	−0.011 (0.009)	−0.011 (0.002)***
BUw × FORw	−0.029 (0.013)**	−0.029 (0.037)	−0.029 (0.020)
GDPpc	0.015 (0.027)	0.015 (0.077)	0.015 (0.039)
URB	0.003 (0.001)***	0.003 (0.005)	0.003 (0.002)*
ARB	−0.003 (0.001)***	−0.003 (0.004)	−0.003 (0.002)*
_cons	2.482 (0.272)***	2.482 (0.893)**	2.482 (0.674)**

Note(s): Entries show coefficient with standard error in parentheses. Significance: *p < 0.10, **p < 0.05, ***p < 0.01