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 |