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Do students benefit from compulsory schooling? In an important article, Oreopoulos (2006) studied the 1947 British compulsory schooling law change and found large returns to schooling of about 15% using the General Household Survey (GHS). Reanalysing this dataset, we find much smaller returns of...
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In recent years there has been a plethora of empirical papers by economists concerning the effects of academic rank in school or college on subsequent outcomes of students. We review this recent literature, describing the difficult identification and measurement issues, the assumptions and...
Persistent link: https://www.econbiz.de/10013040930
Much research shows that students take account of their perceived comparative advantage in mathematics relative to verbal skills when choosing college majors and career tracks. There is also evidence for an important role for comparative advantage in explaining the gender gap in college STEM...
Persistent link: https://www.econbiz.de/10014437484
In many countries, subsidies towards higher education and financial aid to students from poorer backgrounds have reduced socio-economic status (SES) gaps in undergraduate study. The increasing importance of graduate studies that are typically more expensive may, however, provide a new avenue for...
Persistent link: https://www.econbiz.de/10015271617
While much is now known about the effects of physical health shocks to pregnant women on the outcomes of the in-utero child, we know little about the effects of psychological stresses. One clear form of stress to the mother comes from the death of a parent. We examine the effects of the death of...
Persistent link: https://www.econbiz.de/10010256298
We introduce two simple new variants of the Jackknife Instrumental Variables (JIVE) estimator for overidentified linear models and show that they are superior to the existing JIVE estimator, significantly improving on its small sample bias properties. We also compare our new estimators to...
Persistent link: https://www.econbiz.de/10009723860
We develop a simple semiparametric framework for combining censored and uncensored samples so that the resulting estimators are consistent, asymptotically normal, and use all information optimally. No nonparametric smoothing is required to implement our estimators. To illustrate our results in...
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