Table 4 Causal effect between self-employment and health status among rural migrants: LPM and IV-LPM regression models
From: Effect of self-employment on the sub-health status and chronic disease of rural migrants in China
| Â | Sub-health status | Chronic disease | ||
|---|---|---|---|---|
LPM | IV-LPM | LPM | IV-LPM | |
Employment status | ||||
 Self-employed | 0.0047* (− 0.0004, 0.0097) | 0.0240**(0.0047, 0.0433) | 0.0199***(0.0163, 0.0235) | 0.0277***(0.0144, 0.0410) |
 Wage-employed | Reference |  | Reference |  |
Gender | ||||
 Male | −0.0179*** (− 0.0226, − 0.0132) | −0.0183***(− 0.0230, − 0.0136) | 0.0090***(0.0058, 0.0121) | 0.0088***(0.0056, 0.0120) |
 Female | Reference |  | Reference |  |
Age | −0.0037*** (− 0.0056, − 0.0019) | −0.0041***(− 0.0058, − 0.0023) | −0.0063***(− 0.0078, − 0.0049) | −0.0065***(− 0.0076, − 0.0053) |
Age^2 | 0.0001*** (0.0001, 0.0001) | 0.0001***(0.0001, 0.0001) | 0.0001***(0.0001, 0.0002) | 0.0001***(0.0001, 0.0001639) |
Education attainment | ||||
 Primary school or below | Reference |  | Reference |  |
 Junior high school | −0.0275*** (− 0.0350, − 0.0200) | −0.0266***(− 0.0333, − 0.0200) | −0.0272***(− 0.0330, − 0.0215) | −0.0269***(− 0.0314, − 0.0223) |
 Senior high school | −0.0277*** (− 0.0361, − 0.0193) | −0.0252***(− 0.0334, − 0.0171) | −0.0300***(− 0.0362, − 0.0238) | −0.0290***(− 0.0346, − 0.0234) |
 College or above | − 0.0254*** (− 0.0348, − 0.0161) | −0.0198***(− 0.0307, − 0.0090) | −0.0337***(− 0.0401, − 0.0273) | −0.0315***(− 0.0389, − 0.0240) |
Marital status | ||||
 Married | 0.0256*** (0.0161, 0.0352) | 0.0241***(0.0138, 0.0344) | −0.0049(− 0.0110, 0.0012) | −0.0055(− 0.0126, 0.0016) |
 Unmarried | Reference |  | Reference |  |
Income (monthly) | −4.09E-06***(−4.88E-06, −3.31E-06) | --4.32E-06***(− 5.16E-06, −3.48E-06) | −1.29E-06***(− 1.89E-06, −6.93E-07) | −1.38E-06***(− 1.96E-06, −8.04E-07) |
Industry | ||||
 Other | Reference |  | Reference |  |
 Construction industry | −0.0078* (− 0.0167, 0.0010) | − 0.0051(− 0.0141, 0.0039) | 0.0043(− 0.0020, 0.0106) | 0.0054*(− 0.0007, 0.0116) |
 Service industry | −0.0069 (− 0.0154, 0.0016) | −0.0103**(− 0.0191, − 0.0016) | 0.0031(− 0.0030, 0.0092) | 0.0017(− 0.0042, 0.0077) |
Migrated with children | ||||
 Yes | 0.0013 (− 0.0060, 0.0086) | 0.0009(− 0.0059, 0.0078) | − 0.0101***(− 0.0155, − 0.0047) | −0.0102***(− 0.0149, − 0.0056) |
 No | Reference |  | Reference |  |
Migrated with couple | ||||
 Yes | −0.0121*** (− 0.0208, − 0.0033) | −0.0141***(− 0.0226, − 0.0056) | −0.0004(− 0.0064, 0.0055) | −0.0012(− 0.0071, 0.0046) |
 No | Reference |  | Reference |  |
Constant | 0.1478*** (0.1165, 0.1790) | 0.1501***(0.1200, 0.1802) | 0.1121***(0.0881, 0.1360) | 0.1129***(0.0925, 0.1334) |