Table 4.
Zero-inflated negative binomial regression for hospital visits among rural migrant workers with social security
| SP = 1 | PL = 1 | MP =1 | MI = 1 | PI = 1 | OII = 1 | UI = 1 | MAI = 1 | |
|---|---|---|---|---|---|---|---|---|
| Age group (N = 824 Ref. = Adolescent) | ||||||||
| Young | 0.35 (0.25) | 0.25 (0.21) | 0.51 (0.31) | −0.06 (0.22) | −0.32 (0.28) | 0.13 (0.22) | 0.44 (0.49) | 0.21 (0.36) |
| Middle Age | 0.62 ** (0.25) | 0.50** (0.22) | 0.75** (0.32) | 0.28 (0.22) | −0.03 (0.28) | 0.40* (0.22) | 0.59 (0.49) | 0.62* (0.36) |
| Old Age | 0.40 (0.36) | 0.80** (0.32) | 0.66 (0.58) | 1.09*** (0.33) | 0.33 (0.36) | 0.78*** (0.29) | 0.24 (0.72) | 0.50 (0.55) |
| Gender (N = 825 Ref. = Male) | ||||||||
| Female | 0.17 (0.12) | 0.29** (0.11) | 0.29** (0.13) | 0.29 *** (0.11) | 0.43*** (0.13) | 0.29*** (0.10) | 0.21 (0.16) | 0.07 (0.16) |
| Family income (N = 791 Ref. = CNY 0-19,999) | ||||||||
| CNY 20000- | −0.12 (0.16) | −0.00 (0.14) | 0.16 (0.15) | 0.04 (0.14) | 0.24 (0.16) | 0.00 (0.13) | 0.10 (0.25) | −0.23 (0.21) |
| Educational level (N = 825 Ref. = Primary education) | ||||||||
| Middle education | −0.09 (0.18) | 0.20 (0.17) | −0.13 (0.19) | 0.06 (0.16) | 0.12 (0.18) | 0.04 (0.15) | −0.19 (0.24) | 0.09 (0.23) |
| Higher education | −0.19 (0.23) | 0.03 (0.23) | −0.13 (0.24) | −0.07 (0.22) | −0.16 (0.24) | −0.13 (0.21) | −0.22 (0.32) | 0.40 (0.28) |
| Financial status (N = Ref. = Not well-off) | ||||||||
| Average | −0.24* (0.13) | −0.23* (0.12) | −0.37*** (0.13) | −0.31*** (0.11) | −0.33** (0.13) | −0.21* (0.11) | −0.27* (0.16) | −0.16 (0.16) |
| Well-off | 0.12 (0.18) | −0.14 (0.19) | −0.62*** (0.22) | −0.45** (0.19) | −0.74*** (0.22) | −0.21 (0.18) | −0.57** (0.28) | −0.42 (0.27) |
| SES group (N = 797 Ref. = Lower class) | ||||||||
| Middle class | 0.14 (0.19) | 0.02 (0.16) | −0.35** (0.18) | 0.07 (0.15) | −0.04 (0.20) | 0.04 (0.14) | −0.19 (0.25) | 0.17 (0.24) |
| Upper class | 0.49** (0.23) | 0.00 (0.21) | 0.00 (0.23) | 0.12 (0.20) | −0.02 (0.24) | 0.14 (0.19) | −0.09 (0.32) | 0.25 (0.29) |
| Intercept | 0.26 (0.30) | 0.43* (0.26) | 0.32 (0.35) | 0.65** (0.25) | 0.83** (0.33) | 0.50** (0.25) | 0.55 (0.54) | 0.39 (0.43) |
| Inflate Abusive supervision | −0.18 (5289.03) | −0.22 (20,938.75) | −0.91 (78,237.29) | −0.32 (6134.49) | −0.36 (7380.20) | −0.33 (16,561.18) | −0.44 (9292.63) | −0.27 (14,218.81) |
| Intercept | −20.79 (3577.86) | −23.36 (12,385.97) | −25.07 (48,867.37) | −21.30 (5119.98) | −21.49 (6159.40) | −23.53 (13,618.64) | −21.09 (6398.96) | −21.66 (8274.09) |
| /lnalpha | −1.13 *** (0.20) | −0.65*** (0.13) | −1.03*** (0.19) | −0.71*** (0.14) | −0.73*** (0.15) | −0.74*** (0.13) | −1.29*** (0.30) | −2.70 *** (0.91) |
| Alpha | 0.32 (0.06) | 0.52 (0.07) | 0.36 (0.07) | 0.49 (0.07) | 0.48 (0.07) | 0.48 (0.06) | 0.27 (0.08) | 0.07 (0.06) |
Note: ***, ** and * indicates 1%, 5% and 10% significance level, respectively. SP sick pay, PL paid leave, MP maternity pay, MI medical insurance, PI pension insurance, OII occupational injury insurance, UI unemployment insurance, MAI maternity insurance, CNY Chinese Yuan, SES socioeconomic status