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Table 4 The difference in covariate variables for the URBMI insured residents and uninsured residents before and after the matching (%)

From: The effects of China’s urban basic medical insurance schemes on the equity of health service utilisation: evidence from Shaanxi Province

  Before matching After matching
  Insured Uninsured Standardized bias (%) p Insured Uninsured Standardized bias (%) p
Annual personal expenditure 8.72 8.65 12.0 0.010 8.71 8.72 -1.3 0.783
Female 58.2 56.6 3.2 0.480 58.5 58.5 0.0 1.000
45-59 23.3 21.8 3.6 0.432 23.5 23.0 1.2 0.809
60+ 16.4 15.4 2.9 0.520 16.4 16.5 -0.4 0.945
Health status 4.39 4.39 -1.1 0.810 4.38 4.38 0.0 0.999
Married 63.2 61.5 3.4 0.453 63.5 61.5 4.0 0.430
Other marital status 11.0 10.4 1.9 0.681 10.8 11.6 -2.5 0.628
Primary school 8.2 9.4 -4.4 0.340 8.3 7.2 4.1 0.391
Junior middle school 27.9 31.7 -8.3 0.070 28.5 29.9 -3.1 0.538
Senior middle school 43.2 35.7 15.3 0.001 42.4 42.4 0.0 1.000
Diploma 8.7 7.3 5.1 0.257 8.5 9.0 -1.9 0.718
College degree or above 4.1 7.2 -13.5 0.004 4.2 3.6 2.3 0.599
Retired 7.6 7.8 -0.4 0.923 7.8 8.6 -2.9 0.577
Student 13.9 17.6 -10.1 0.029 14.2 14.6 -1.1 0.828
Unemployed 51.3 55.1 -7.5 0.102 52.1 51.4 1.6 0.760
Guanzhong 95.7 89.5 23.6 0.000 95.6 95.8 -1.0 0.801
Shannan 0.0 0.5 -9.9 0.049 0.0 0.0 0.0 1.000
Commercial health insurance 4.6 4.2 1.6 0.718 4.7 4.0 3.2 0.533
Household population 1.17 1.20 -7.8 0.086 1.18 1.19 -2.1 0.691