In the economics of education, educational production functions are widely used to evaluate the impact of different factors such as socio-economic background and school's characteristics on students' achievement. We discuss the main features of traditional value added models used in this context. We suggest the use of a multilevel latent Markov Rasch model, recently proposed in the literature, to improve the understanding of educational processes. An empirical illustration is reported in the last section.
Agasisti, T., Pennoni, F., Vittadini, G. (2011). Extending value-added models for educational production: stochastic processes and clustering. In Classification and data analysis group of the italian statistical society CLADAG 2011. Book of abstracts 8th scientific meeting (Pavia, 7-9 september 2011) (pp.154-157).
Extending value-added models for educational production: stochastic processes and clustering
PENNONI, FULVIA;VITTADINI, GIORGIO
2011
Abstract
In the economics of education, educational production functions are widely used to evaluate the impact of different factors such as socio-economic background and school's characteristics on students' achievement. We discuss the main features of traditional value added models used in this context. We suggest the use of a multilevel latent Markov Rasch model, recently proposed in the literature, to improve the understanding of educational processes. An empirical illustration is reported in the last section.
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