Table A6.
Results of Analysis Exploring Whether Accounting for Absence, School Performance, or Pregnancy Attenuates the Relationship Between Relationship Status and Leaving School for Female Survey Respondents.
| Model Includes School Absence Variable |
Model Includes Trouble in School Variable |
All Pregnancy Cases Removed from Sample |
|
|---|---|---|---|
| Case-Time Control Modelsa | OR/(se) | OR/(se) | OR/(se) |
| (Fixed-Effects for Nonrepeatable Events) | (2) | (3) | (4) |
| Respondent was in a sexual relationship | 2.98 (0.87)*** | 2.96 (0.86)*** | 2.31 (0.90)* |
| Observations (Respondents) | 715 (145) | 715 (145) | 556 (103) |
|
| |||
| Doubly-Robust Propensity Score Modelsb | |||
| Predicted probability of leaving school for respondents who were single at wave one | 21% | ||
| Predicted probability of leaving school for respondents who were in a relationship at wave one | 36% | ||
| Difference in predicted probabilities (estimate of effect size of sexual relationship status on leaving school) | 15% (0.06)* | ||
| N | 359 | ||
Notes:
0.05,
0.01,
0.001.
The case-time-control models include the following time-variant covariates: socio-economic status, current year in school, difficulty paying school fees, declining health, educational expectations, employment status, and dummy variables indicating survey wave. All independent variables are lagged by one wave, so that variables observed at one point in time predict school exits observed at the subsequent survey wave, about four months later.
The doubly robust models account for the following covariates: age, socioeconomic status, current level of school, and attitudes and expectations related to education. I measured all these covariates at wave one and used them to estimate both the propensity scores and the outcome model. The outcome measure includes all school exits from wave 2 through wave 6.