Research Article

Income Differences between Flexibly and Nonflexibly Employed Persons and Their Deconstruction: An Analysis Based on Data from the 2018 China Mobility Monitor

Table 8

Differences in earnings between flexible and nonflexible workers under different matching methods and parameters.

Matching methodSampleParameterATTt-value
Control groupExperimental group

Nearest neighbour matching method6905255526k = 10.132230.83
6905255526k = 20.131130.47
6905255526k = 40.129930.16
6905255526k = 70.129429.99
6905255526k = 120.129629.99

Caliper matching method: Nearest-neighbour matching of different caliper widths6871355373& = 0.001, K = 10.23643.08
6871355373& = 0.01, K = 10.23643.08
6871355373& = 0.1, K = 10.23643.08
6871355373& = 0.001, K = 20.14502.71
6871355373& = 0.01, K = 20.14502.71
6871355373& = 0.1, K = 20.14502.71
6871355373& = 0.001, K = 70.13614.85
6871355373& = 0.01, K = 70.12884.72
6905255373& = 0.1, K = 70.13614.85
6905255373& = 0.001, K = 120.11925.56
6871355373& = 0.01, K = 120.12045.58
6871355373& = 0.1, K = 120.12045.58

Radius (caliper) matching method6905255488& = 0.0010.128930.32
6905255527& = 0.0050.134131.67
6905255528& = 0.010.129630.74
6905255528& = 0.10.122930.10

Kernel matching method6905255528k (epan). bw (0.06)0.130131.17
6905255528k (epan). bw (0.03)0.131131.11
6905255528k (epan). bw (0.01)0.127030.11
6905255528k (normal). bw (0.06)0.121029.64
6905255528k (normal). bw (0.03)0.126930.57
6905255528k (normal). bw (0.01)0.128630.48

Local linear regression matching method6905255528k (epan). bw (0.06)0.13341.77
6905255528k (epan). bw (0.03)0.13341.77
6905255528k (epan). bw (0.01)0.13271.76
6905255528k (normal). bw (0.06)0.130130.69
6905255528k (normal). bw (0.03)0.131531.15
6905255528k (normal). bw (0.01)0.130730.99

Martens matching6905255528m = k = 10.18343.69
6905255528m = k = 20.15033.62
6905255528m = k = 50.19067.29
6905255528m = k = 70.13456.90