Effectiveness of grade retention: A systematic review and meta-analysis
Research on the effectiveness of grade retention has a long history, yet, has seen an
upsurge during the last decade. In this study, we review 84 recent, methodologically sound …
upsurge during the last decade. In this study, we review 84 recent, methodologically sound …
Effects of grade retention policies: A literature review of empirical studies applying causal inference
The identification of the causal effects of grade retention policies is of enormous relevance
for researchers and policymakers alike. Taking advantage of the availability of more detailed …
for researchers and policymakers alike. Taking advantage of the availability of more detailed …
Identification and semiparametric efficiency theory of nonignorable missing data with a shadow variable
We consider identification and estimation with an outcome missing not at random (MNAR).
We study an identification strategy based on a so-called shadow variable. A shadow …
We study an identification strategy based on a so-called shadow variable. A shadow …
On varieties of doubly robust estimators under missingness not at random with a shadow variable
Suppose we are interested in the mean of an outcome variable missing not at random.
Suppose however that one has available a fully observed shadow variable, which is …
Suppose however that one has available a fully observed shadow variable, which is …
Identifying effects of multiple treatments in the presence of unmeasured confounding
Identification of treatment effects in the presence of unmeasured confounding is a persistent
problem in the social, biological, and medical sciences. The problem of unmeasured …
problem in the social, biological, and medical sciences. The problem of unmeasured …
Non-parametric inference about mean functionals of non-ignorable non-response data without identifying the joint distribution
W Li, W Miao… - Journal of the Royal …, 2023 - academic.oup.com
We consider identification and inference about mean functionals of observed covariates and
an outcome variable subject to non-ignorable missingness. By leveraging a shadow …
an outcome variable subject to non-ignorable missingness. By leveraging a shadow …
[PDF][PDF] Source condition double robust inference on functionals of inverse problems
We consider estimation of parameters defined as linear functionals of solutions to linear
inverse problems. Any such parameter admits a doubly robust representation that depends …
inverse problems. Any such parameter admits a doubly robust representation that depends …
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
Semi-supervised learning is a powerful technique for leveraging unlabeled data to improve
machine learning models, but it can be affected by the presence of “informative" labels …
machine learning models, but it can be affected by the presence of “informative" labels …
European variations in socioeconomic inequalities in students' cognitive achievement: The role of educational policies
N Le Donné - European Sociological Review, 2014 - academic.oup.com
In the light of past sociological research in education, we analyze socioeconomic
inequalities in cognitive competences among students reaching the end of compulsory …
inequalities in cognitive competences among students reaching the end of compulsory …
Modeling the effects of grade retention in high school
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 …
school, both in the short run (end‐of‐year evaluation) and in the long run (drop‐out and …