邻近性对人口再流动目的地选择的影响
|
刘涛, 卓云霞, 王洁晶
|
How multi-proximity affects destination choice in onward migration: A nested logit model
|
LIU Tao, ZHUO Yunxia, WANG Jiejing
|
|
表4 分群体回归结果
|
Tab. 4 Results of regression for different migrants
|
|
| 模型4:性别差异 | | 模型5:代际差异 | | 模型6:学历差异 | 系数 | 标准误 | 系数 | 标准误 | 系数 | 标准误 | Education | 0.162*** | 0.040 | | 0.183** | 0.077 | | 0.240*** | 0.070 | Distance(ln)_F | -0.342*** | 0.046 | | -0.354*** | 0.052 | | -0.398*** | 0.049 | Distance(ln)_H | -0.228*** | 0.039 | | -0.291*** | 0.050 | | -0.253*** | 0.037 | Province_F | 0.041 | 0.060 | | -0.041 | 0.080 | | -0.031 | 0.050 | Province_H | 0.343*** | 0.074 | | 0.364*** | 0.092 | | 0.377*** | 0.068 | Search(ln)_F | 0.316*** | 0.052 | | 0.326*** | 0.059 | | 0.310*** | 0.044 | Search(ln)_H | 0.148*** | 0.035 | | 0.058 | 0.040 | | 0.152*** | 0.031 | Migrants_F | -0.378 | 0.338 | | -0.511 | 0.457 | | -0.646** | 0.307 | Migrants_H | 3.690*** | 0.395 | | 2.681*** | 0.408 | | 3.538*** | 0.356 | Attribute×Education | -0.035 | 0.047 | | -0.059 | 0.079 | | -0.115 | 0.072 | Attribute×Distance(ln)_F | -0.023 | 0.032 | | 0.004 | 0.036 | | 0.065 | 0.042 | Attribute×Distance(ln)_H | -0.007 | 0.040 | | 0.086* | 0.046 | | 0.025 | 0.049 | Attribute×Province_F | -0.010 | 0.079 | | 0.094 | 0.092 | | 0.245** | 0.107 | Attribute×Province_H | 0.046 | 0.078 | | 0.004 | 0.090 | | 0.014 | 0.100 | Attribute×Search(ln)_F | -0.075 | 0.052 | | -0.082 | 0.056 | | -0.121* | 0.066 | Attribute×Search(ln)_H | 0.040 | 0.038 | | 0.144*** | 0.045 | | 0.160*** | 0.055 | Attribute×Migrants_F | 0.294 | 0.434 | | 0.405 | 0.505 | | 1.561*** | 0.552 | Attribute×Migrants_H | -0.811*** | 0.306 | | 0.597* | 0.357 | | -0.798** | 0.373 | ControlVariables | Yes | | Yes | | Yes | λ1 | 0.585*** | 0.061 | | 0.574*** | 0.059 | | 0.622*** | 0.063 | λ2 | 0.525*** | 0.062 | | 0.514*** | 0.061 | | 0.561*** | 0.064 | Loglikelihood | -13266.152 | | -13255.493 | | -13253.974 | chi2 | 129.02 | | 128.93 | | 135.98 | Prob>chi2 | 0.000 | | 0.000 | | 0.000 | IIA检验 | 0.000 | | 0.000 | | 0.000 |
|
|
|