Skip to main content

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.