Fig. 8 Probability of studying in a private school.
This implies that the implementation variables may be downward biased estimations of the probability of studying under LOGSE.
The coefficient is interpreted as the impact of an increase from 0 to 1 in the probability of studying under LOGSE.
The marginal effect is very large, especially for women.9 It implies that an increase of one percent in the fraction studying FP-I increases the probability of studying lower vocational studies by 0.41.
For all children, birth order (i.e., being younger in the household) increases the probability of being idle and hours of leisure and reduces the probability of studying and working and hours of study.
We test this idea by investigating the impact of parental educational background on the child's probability of studying in higher education using data drawn from the Cyprus Family Expenditure Surveys (1996 2009).
On the basis of these models, probabilities of study participation were estimated using the MVPRED procedure of STATA.
Due to the complex sampling and the different selection probabilities of study participants, all analyses were weighted to the underlying population distribution and accounted for the effect of stratification and clustering on point and interval estimates.
The expected utility of studying is the probability of passing if one studies times the utility of studying and passing plus the probability of not passing if one studies times the utility of studying and not passing.
Determination of the number of subjects to enroll is based on an adaptive design that uses interim data to estimate the predictive probability of study success.
