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Table 5 GLS_67 coefficients

From: Where is the grass greener? A micro-founded model of migration with application to Guangdong

GLS_67coefficients

City

Cons

Wugap

Pgap

Kgap

SFgap

UHgap

1

 

0.819*

  

0.675*

4.109***

  

2.43

  

2.02

4.7

2

16.98***

3.323***

(−)1.971***

 

(−)0.230***

19.49***

 

6.52

5.66

−3.97

 

−4.08

6.06

3

2.317***

  

0.158***

  
 

4.24

  

5.39

  

5

1.834***

0.313***

 

(−)0.421***

  
 

3.34

4.75

 

−7.39

  

6

5.570***

(−)0.862*

(−)1.614**

0.160*

 

5.690***

 

4.31

(−)2.49

(−)2.66

2.24

 

3.39

7

 

0.642***

3.293***

(−)0.379***

 

(−)5.461***

  

3.74

8.81

(−)5.37

 

(−)7.07

8

2.592***

  

0.299**

  
 

4.64

  

2.73

  

9

1.570*

1.143***

(−)1.463**

(−)0.486***

0.224*

 
 

2.53

7.87

(−)3.12

(−)9.19

2.26

 

10

3.333***

(−)0.718***

 

0.212***

(−)0.130***

1.901***

 

5.86

(−)8.34

 

7.48

(−)9.32

8.53

11

2.702***

(−)0.290**

(−)0.312**

0.109***

 

1.136**

 

4.47

(−)3.04

(−)3.23

5.84

  

12

2.115***

0.0689*

    
 

3.87

2.36

    

13

1.190*

(−)0.743***

 

0.617***

 

(−)0.891***

 

2.14

(−)12.55

 

19.45

 

(−)8.02

14

2.747***

    

0.790*

 

4.21

    

2.26

15

1.707**

 

(−)0.656**

0.185**

  
 

2.96

 

(−)2.9

2.61

  

16

 

0.7478***

 

(−)0.340***

0.352**

(−)2.792***

  

4.09

 

(−)4.72

2.84

(−)3.77

18

2.626***

 

0.886*

 

(−)0.250*

 
 

4.16

 

2.25

 

(−)2.28

 

22

6.549***

(−)2.465***

7.525***

(−)0.983***

0.865*

14.52***

 

6.22

(−)7.76

3.4

(−)5.08

2.37

6.68

23

 

0.226

 

(−)0.296**

0.813***

(−)2.785***

  

1.84

 

(−)2.86

4.71

(−)3.77

  1. *p<0.05, **p<0.01, ***p<0.001, (−)negative.
  2. t statistics are presentated below coefficients.