Table 5 The robustness test.

From: Peer effects in local government decision-making on new infrastructure investment: evidence from Chinese 258 cities

 

SEM

SDM

Replace the dependent variable

Lagged dependent variable

Intra-province geographical matrix

Extra-province geographical matrix

\(\rho\)

 

0.663***

0.438***

0.562***

0.427***

0.258***

 

(0.038)

(0.048)

(0.039)

(0.021)

(0.049)

λ

0.673***

     

(0.036)

     

g-1

   

0.156***

  
   

(0.019)

  

Control variables

YES

YES

YES

YES

YES

YES

City

YES

YES

YES

YES

YES

YES

Year

YES

YES

YES

YES

YES

YES

N

2580

2580

2580

2580

2580

2580

\({R}^{2}\)

0.404

0.413

0.226

 

0.375

0.487

Log-likelihood

1072.770

1089.147

−1727.461

 

1118.197

959.118

F-value

   

798.75***

  
  1. *, **, *** denote significant levels at 10%, 5%, and 1%. Robust standard errors are reported in parentheses. Control variables are consistent with those used in the baseline regression.