We discuss fixed and random effects models in the context of educational research and set out the assumptions behind the two approaches. To illustrate the issues, we analyse the determinants of pupil achievement in primary school, using data from the Avon Longitudinal Study of Parents and...

When parents are more educated, their children tend to receive more schooling as well. Does this occur because parental ability is passed on genetically or because more educated parents provide a better environment for children to flourish? Using an intergenerational sample of families, we...

High-stakes admission exams to selective schools create incentives for more intensive study effort possibly increasing study achievements of students. Exploiting the exogenous change of a schooling system and using two waves of TIMSS survey data we find that high-stakes exams increase math test...

No abstract. © 2012 Association for Education Finance and Policy

In Germany, researchers dealing with questions of empirical educational research rely mainly on cross-sectional data. In addition, there are region- and group-specific longitudinal studies. This paper demonstrates the possibilities for using educationally relevant information from long-running...

Thanks to extraordinary and exponential improvements in data storage and computing capacities, it is now possible to collect, manage, and analyze data in magnitudes and in manners that would have been inconceivable just a short time ago. As the world has developed this remarkable capacity to...

I review recent work in the statistics literature on instrumental variables methods from an econometrics perspective. I discuss some of the older, economic, applications including supply and demand models and relate them to the recent applications in settings of randomized experiments with...

Abstract We derive a class of design-based estimators for the average treatment effect that are unbiased whenever the treatment assignment process is known. We generalize these estimators to include unbiased covariate adjustment using any model for outcomes that the analyst chooses. We then...