We propose a probabilistic formulation of the assignment mechanism underlying RD designs within the potential outcome approach to causal inference. A model-based Bayesian approach to draw inferences for the causal effects around the threshold is also developed. The method is applied to evaluate the effects of Italian university grants on student dropout.
Bayesian Inference for Fuzzy Regression Discontinuity Designs / Li F.; Mattei A.; Mealli F.. - ELETTRONICO. - (2013), pp. 1-6. (Intervento presentato al convegno SCo 2013 tenutosi a Milan, Italy nel 9-11 Settembre 2013).
Bayesian Inference for Fuzzy Regression Discontinuity Designs
MATTEI, ALESSANDRA;MEALLI, FABRIZIA
2013
Abstract
We propose a probabilistic formulation of the assignment mechanism underlying RD designs within the potential outcome approach to causal inference. A model-based Bayesian approach to draw inferences for the causal effects around the threshold is also developed. The method is applied to evaluate the effects of Italian university grants on student dropout.File in questo prodotto:
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