We formulate a causal model for the effect of the degree program on the work path of graduate students, which is based on a Markov process to represent latent characteristics of the subjects. A latent Markov model with covariates and mixed-type responses results, which is estimated by an EM algorithm. We illustrate the proposed approach through an application to a dataset deriving from administrative panel data which concern labor market in Lombardy and allows us to evaluate the effectiveness, in terms of education, of certain Universities in Milan
Bartolucci, F., Pennoni, F., Vittadini, G. (2012). Evaluation of the degree effect on the work path by a latent variable causal model. QUADERNI DI STATISTICA, 14, 17-20.
Evaluation of the degree effect on the work path by a latent variable causal model
PENNONI, FULVIA;VITTADINI, GIORGIO
2012
Abstract
We formulate a causal model for the effect of the degree program on the work path of graduate students, which is based on a Markov process to represent latent characteristics of the subjects. A latent Markov model with covariates and mixed-type responses results, which is estimated by an EM algorithm. We illustrate the proposed approach through an application to a dataset deriving from administrative panel data which concern labor market in Lombardy and allows us to evaluate the effectiveness, in terms of education, of certain Universities in MilanFile | Dimensione | Formato | |
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