Table A7.
Doubly-Robust Propensity Score Models Predicting End of Term Examination Scores (Percent)a |
Female | Male | ||
---|---|---|---|---|
English Coeff./(se) (1) |
Math Coeff./(se) (1) |
English Coeff./(se) (3) |
Math Coeff./(se) (3) |
|
Average predicted value if no respondents were in a sexual relationship at wave 3 | 53.67 | 48.31 | 54.89 | 53.74 |
Average predicted value if all respondents were in a sexual relationship at wave 3 | 51.55 | 47.06 | 51.90 | 55.04 |
Difference in predicted values (estimate of effect size of sexual relationship status on tests scores) | −2.11 (2.68) | −1.25 (2.83) | −2.99 (2.90) | 1.30 (3.11) |
| ||||
N | 347 | 347 | 214 | 214 |
| ||||
Fixed-Effects Logistic Regression Models Predicting Trouble in school during four months preceding interviewb | Female OR/(se) (3) | Male OR/(se) (4) | ||
| ||||
Respondent was in a sexual relationship | 0.87 (0.25) | 1.16 (0.32) | ||
Socio-economic Status | 0.99 (0.08) | 1.33 (0.16)* | ||
Current Year in School | 1.39 (0.16)** | 1.39 (0.18)* | ||
Trouble paying school fees over past 4 months | 1.11 (0.17) | 1.23 (0.21) | ||
Decline in health over past 4 months | 1.07 (0.43) | 1.37 (0.22)† | ||
Probabilistic estimate of being in school in 1 year | 0.99 (0.03) | 1.03 (0.05) | ||
Employed | 2.77 (2.70) | 0.30 (0.37) | ||
| ||||
N: Observations (Respondents) | 899 (208) | 635 (145) |
Notes:
0.10,
0.05,
0.01,
0.001.
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 three and used them to estimate both the propensity scores and the outcome model. The outcome measure was measured at wave 4.
All independent variables are lagged by one survey wave, so that variables measured at each point in time predict having trouble in school over the subsequent four months.