Research Article
[Retracted] How Does Digital Finance Affect People’s Income: Evidence from China
Table 1
Descriptive statistics of main variables.
| Variable name | Obs | Mean | Sd | Min | Max |
| Age | 20430 | 37.7 | 12.52 | 16 | 96 | Age squared | 20430 | 1577.9 | 1035.15 | 256 | 9216 | Gender | 20430 | 0.58 | 0.49 | 0 | 1 | Years of education | 20430 | 10.52 | 3.77 | 0 | 23 | Urban | 20430 | 0.65 | 0.48 | 0 | 1 | Married | 20430 | 0.77 | 0.42 | 0 | 1 | Rural household registration | 20430 | 0.64 | 1.54 | 0 | 79 | CPC | 20430 | 0.51 | 0.5 | 0 | 1 | Health levels | 20430 | 3.3 | 1.07 | 1 | 5 | Province code | 20430 | 36.61 | 14.42 | 11 | 65 | Industry type | 20430 | 2.54 | 0.53 | 1 | 3 | Logarithm of resident income | 20430 | 9.99 | 0.97 | 4.87 | 10.78 | Digital financial development | 20430 | 243.86 | 63.73 | 18.47 | 377.73 |
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