Table 2.
Regression analysis results for labor sector influence on non-precarious employment. Mexico, 2005–2019
| Underemployed and employed in the health sector | Employed in health sector | |||||
|---|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 1 | Model 2 | Model 3 | |
| aOR's and 95% CI | ||||||
| Labor sector | ||||||
| Private | Ref | Ref | Ref | Ref | Ref | Ref |
| Public | 8.04*** | 6.78*** | 7.11*** | 2.61*** | 2.03** | 2.17** |
| (7.09–9.12) | (4.68–9.82) | (4.91–10.31) | (1.69–4.02) | (1.27–3.23) | (1.36–3.46) | |
| Adjusted covariates | ||||||
| Survey quarter | Yes | Yes | Yes | Yes | Yes | Yes |
| Survey year | Yes | Yes | Yes | Yes | Yes | Yes |
| Labor sector × survey year | Yes | Yes | Yes | Yes | Yes | Yes |
| Sociodemographics and labor characteristics | No | Yes | Yes | No | Yes | Yes |
| Place of residence characteristics | No | No | Yes | No | No | Yes |
| Observations | 18,560 | 18,560 | 18,560 | 12,924 | 12,924 | 12,924 |
| Goodness-of-fit test (Hosmer and Lemeshow) | ||||||
| F-adjusted test statistic | 1.11 | 2.05 | 0.98 | 0.83 | 0.58 | 0.74 |
| P > F | 0.36 | 0.03 | 0.45 | 0.59 | 0.82 | 0.67 |
Estimates considered the design effect of the survey
Data source National Occupation and Employment Survey (ENOE in Spanish) 2005–2019
***P < 0.001, **P < 0.01, *P < 0.05