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.
2013
Proceedings of the Conference: Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction (SCo 2013)
SCo 2013
Milan, Italy
9-11 Settembre 2013
Li F.; Mattei A.; Mealli F.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/817566
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