Abstract
Economic theory suggests that it is optimal to reward teachers depending on the relative performance of their students. We develop an econometric approach, based on stochastic frontier analysis, to construct a fair ranking that accounts for the socio-economic background of students and schools and the imprecision inherent in achievement data. Using German PIRLS (IGLU) data, we exploit the hierarchical structure of the data to estimate the efficiency of each teacher. A parsimonious set of control variables suffices to get a “fair” estimate of unobserved teacher quality. A Hausman-Taylor type estimator is the preferred estimator because teacher efficiency and some exogenous variables may be correlated.
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Jürges, H., Schneider, K. (2008). Fair ranking of teachers. In: Dustmann, C., Fitzenberger, B., Machin, S. (eds) The Economics of Education and Training. Studies in Empirical Economics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2022-5_8
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DOI: https://doi.org/10.1007/978-3-7908-2022-5_8
Publisher Name: Physica-Verlag HD
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