Nonparametric bounds on the causal effect of university studies on job opportunities using principal stratification

Journal of Educational and Behavioral Statistics

Volumn 33, Issue 1, 2008, Pages 111-130

  Grilli, Leonardo ^a   Mealli, Fabrizia ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

Bounds; Causal effects; Effectiveness; Potential outcomes; Principal strata

Indexed keywords

EID: 40749162804     PISSN: 10769986     EISSN: None     Source Type: Journal    
DOI: 10.3102/1076998607302627     Document Type: Article

References (11)

1. Barnard, J, CE Frangakis, JL Hill, and DB Rubin (2003). Principal stratification approach to broken randomized experiments: A case study of school choice vouchers in New York City. Journal American Statistical Association, 98, 299-323.
2. Frankgakis, CE, and DB Rubin (2002). Principal stratification in causal inference. Biometrics, 58, 21-29.
3. Grilli, L, and F Mealli (2007). University studies and employment: An application of the principal strata approach to causal analysis. In L Fabbris (Ed.), Effectiveness of university education in Italy: Employability, competences, human capital (pp. 219-232). Berlin, Germany: Springer.
4. Imbens, GW, and CF Manski (2004). Confidence intervals for partially identified parameters. Econometrica, 72, 1845-1857.
5. Imbens, GW, and DB Rubin (1997). Bayesian inference for causal effects in randomized experiments with noncompliance. Annals of Statistics, 25, 305-327.
6. Jo, B (2002). Estimation of intervention effects with noncompliance: Alternative model specifications. Journal of Educational and Behavioral Statistics, 27, 385-409.
7. Mattei, A (2004). Estimating causal effects in experimental and observational studies suffering from missing data.. Unpublished doctoral dissertation, Department of Statistics, University of Florence.
8. Mealli, F, GW Imbens, S Ferro, and A Biggeri (2004). Analyzing a randomized trial on breast self-examination with noncompliance and missing outcomes. Biostatistics, 5, 207-222.
9. Rosenbaum, P, and DB Rubin (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70, 41-55.
10. Rubin, DB (1974). Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology, 66, 668-701.
11. Zhang, JL, and DB Rubin (2003). Estimation of causal effects via principal stratification when some outcomes are truncated by "death. Journal of Educational and Behavioral Statistics, 28, 353-368.