Table 8. Ordered probits for self-reported poor health among South African regular wage employees.

	I	II	III	IV	V
No. of formal job attributes	−0.034*** (0.010)	−0.042*** (0.011)	−0.015 (0.012)	0.001 (0.014)	−0.059 (0.041)
Demographics
Female		0.153*** (0.054)	0.209*** (0.056)	0.166*** (0.057)	0.423*** (0.109)
Age		0.028* (0.016)	0.027* (0.016)	0.032** (0.016)	0.026 (0.016)
Age squared		−0.000 (0.000)	−0.000 (0.000)	−0.000 (0.000)	−0.000 (0.000)
Black		0.161* (0.089)	0.032 (0.092)	−0.080 (0.094)	−0.074 (0.094)
Colored		0.098 (0.102)	−0.052 (0.108)	−0.127 (0.110)	−0.115 (0.110)
Indian		0.087 (0.216)	0.049 (0.214)	−0.011 (0.232)	0.011 (0.236)
Urban		−0.055 (0.058)	0.042 (0.059)	0.073 (0.059)	0.067 (0.059)
Education and income
Years of school			−0.056*** (0.009)	−0.042*** (0.009)	−0.044*** (0.001)
Log of income				−0.123*** (0.041)	−0.114*** (0.042)
Interactions
Female*formality					−0.057*** (0.021)
Age*formality					0.002** (0.001)
F stat	11.31	16.56	20.43	16.90	14.70
Prob>F	0.00	0.00	0.00	0.00	0.00
N	25 147	25 113	25 100	24 990	24 990

Note: The data are weighted. Standard errors in parentheses. ***Significant at the 99.9% confidence level. **Significant at the 95% confidence level. *Significant at the 90% confidence level. Dependent variable is self-reported health status (1 = excellent, 5 = very poor). The omitted categories are: male, white, and rural. Results are robust to estimations controlling for both average district earnings and average district self-reported health scores.

Source: Own calculations from NIDS 2008.