Table 10.

Robustness check—2-stage least squares (2SLS)

Variables	Model 1	Model 2	Model 3
${\mathit{GDPPC}}_{\mathit{it}}$	0.340* (0.11)
${\mathit{Infra}}_{\mathit{it}}$	0.0228* (0.003)
${\mathit{TC}}_{\mathit{ijt}}$	0.490* (0.043)	0.329* (0.058)	0.262* (0.003)
${Transport\_Air}_{\mathit{it}}$		0.146 (0.22)
${\mathit{Power}}_{\mathit{it}}$		0.394 (0.45)
${Ship\_connectivity}_{\mathit{it}}$			1.170 (0.80)
${\mathit{FDI}}_{\mathit{it}}$		0.575* (0.23)
${\mathit{FDI}}_{\mathit{it}}\times {\mathit{FTA}}_{\mathit{it}}$			0.026 (0.029)
Constant	10.07* (2.29)	30.46* (9.44)	12.573* (5.3)
N	206	101	101
${\mathit{AdjR}}^2$	0.28	0.32	0.32
Under identification test (Anderson canon. corr. LM statistic,$X^2$(Chi-sq))	68.02*	44.65*	21.27*
Weak identification test (Cragg-Donald Wald F statistic)	68.35*	24.83*	19.93*
Sargan statistic (over identification test of all instruments)/Hansen J statistic $X^2$(Chi-sq)	6.35*	21.16*	6.65*
Endogeneity test of endogenous regressors $X^2$(Chi-sq)	22.18*	17.22*	15.34*

*, **, and *** denote statistical significance at the 1%, 5%, and 10% levels, respectively. Values in parenthesis indicate standard errors