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Table 6 Comparison of Health Care Utilization of Migrant Parents between IMISs and. URBMIs after Dropping Repeated Enrollment

From: Does integrated medical insurance system alleviate the difficulty of using cross-region health Care for the Migrant Parents in China-- evidence from the China migrants dynamic survey

  (1) (2) (3) (4) (5) (6) (7) (8) (9)
IMISs vs. non-IMISs IMISs vs. NCMSs IMISs vs. URBMIs
hospitalized in the past year(inpa) hospitalized locally in the past year(local_inpa) see a doctor locally with less serious diseases(less_serious_doctor) hospitalized in the past year(inpa) hospitalized locally in the past year(local_inpa) see a doctor locally with less serious diseases(less_serious_doctor) hospitalized in the past year(inpa) hospitalized locally in the past year(local_inpa) see a doctor locally with less serious diseases(less_serious_doctor)
imis 0.0162** 0.0244*** 0.0443* 0.00960 0.0212*** 0.0550* 0.0190** 0.0246** 0.0351
  (0.00772) (0.00874) (0.0262) (0.00633) (0.00752) (0.0316) (0.00760) (0.0110) (0.0559)
the need of hospitalization(need_inpa)    
Other control variables
SES
Fixed effects of origin provinces
Fixed effects of flow-in cities
N 7404 7404 7404 6442 6442 6442 1626 1626 1626
  1. Note: Robust standard errors are reported in parentheses. * p < 0.1, ** p < 0.05, *** p < 0.01. Other control variables include individual demographic characteristic, self-reported health status, having hypertension or diabetes, fitness time, having health examination or not in the past year. SES includes education, income, expenditure and immigration information. Same structure of dependent variable as in Table 2. The columns (1)– (3) have same structure as column (3) (6), and (8) in Table 2. The columns (4)– (6) have same structure as column (3) (6), and (8) in Table 3. The columns (7)– (9) have same structure as column (3) (6), and (8) in Table 4. In this regression, we drop the samples who joined the insurances type repeatedly