Randomization Inference and Bayesian Inference in Regression Discontinuity Designs: An Application to Italian University Grants
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-54084-9_17
Reference4 articles.
1. Li, F., Mattei, A., Mealli, F.: Evaluating the effect of university grants on student dropout: evidence from a regression discontinuity design using bayesian principal stratifications analysis. Ann. Appl. Stat. 9(4), 1906–1931 (2015)
2. Rubin, D.B.: More powerful randomization-based p-values in double-blind trials with non-compliance. Stat. Med. 17, 371385 (1998)
3. Lee, J.J., Miratrix, L., Pillai, S.N.: More Powerful Multiple Testing in Randomized Experiments with Non-compliance (Unpublished manuscript) (2016)
4. Berry, S.M., Berry, D.A.: Accounting for multiplicities in assessing drug safety: a three-level hierarchical mixture model. Biometrics 60(2), 418–426 (2004)
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