Showing 1 - 10 of 28
Persistent link: https://www.econbiz.de/10012131238
To study the causal impact of smartphone use on academic performance, we collected - for the first time worldwide - longitudinal data on students' smartphone use and educational performance. For three consecutive years we surveyed all students attending classes in eleven different study...
Persistent link: https://www.econbiz.de/10012139876
A dynamic discrete choice model is set up to estimate the effects of grade retention in high school, both in the short-run (end-of-year evaluation) and in the long-run (drop-out and delay). In contrast to other evaluation approaches, this model captures essential treatment heterogeneity and...
Persistent link: https://www.econbiz.de/10012124743
Persistent link: https://www.econbiz.de/10012149820
We contribute to the literature on relative age effects on pupils' (non-cognitive) skills formation by studying students' social network. We investigate data on European adolescents from the Health Behaviour in School Aged Children survey and use an instrumental variables approach to account for...
Persistent link: https://www.econbiz.de/10012150711
After a decade of correlational research, this study attempts to measure the causal impact of (general) smartphone use on educational performance. To this end, we merge survey data on general smartphone use, exogenous predictors of this use, and other drivers of academic success with the exam...
Persistent link: https://www.econbiz.de/10012151089
To study the causal impact of smartphone use on academic performance, we collected - for the first time worldwide - longitudinal data on students' smartphone use and educational performance. For three consecutive years we surveyed all students attending classes in eleven different study...
Persistent link: https://www.econbiz.de/10012151753
Persistent link: https://www.econbiz.de/10012153719
Persistent link: https://www.econbiz.de/10011885604
After a decade of correlational research, this study is the first to measure the causal impact of (general) smartphone use on educational performance. To this end, we merge survey data on general smartphone use, exogenous predictors of this use, and other drivers of academic success with the...
Persistent link: https://www.econbiz.de/10011843956