To study education as a complex production process in a noisy and heterogeneous setting, this paper suggests to using a stochastic frontier model estimated by a local maximum likelihood approach (LMLSF). The LMLSF smoothly combines the virtues of the non-parametric Data Envelopment Analysis...

This paper examines which conguration of teaching activities (expressed in, e.g., problem solving, homework, lecturing) maximizes student performance. To do so, it formulates a non- parametric eciency model that is rooted in the Data Envelopment Analysis literature. In the model, we account for...