Superutilization of Child Welfare, Medicaid, and Other Services
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- Trout, Alexandra L. & Tyler, Patrick M. & Stewart, McLain C. & Epstein, Michael H., 2012. "On the Way Home: Program description and preliminary findings," Children and Youth Services Review, Elsevier, vol. 34(6), pages 1115-1120.
- van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
- Bright, C.L. & Jonson-Reid, M., 2015. "Multiple service system involvement and later offending behavior: Implications for prevention and early intervention," American Journal of Public Health, American Public Health Association, vol. 105(7), pages 1358-1364.
- Vermunt, Jeroen K., 2010. "Latent Class Modeling with Covariates: Two Improved Three-Step Approaches," Political Analysis, Cambridge University Press, vol. 18(4), pages 450-469.
- Gilles Celeux & Gilda Soromenho, 1996. "An entropy criterion for assessing the number of clusters in a mixture model," Journal of Classification, Springer;The Classification Society, vol. 13(2), pages 195-212, September.
- Jagannathan, Radha & Camasso, Michael J., 2017. "Social outrage and organizational behavior: A national study of child protective service decisions," Children and Youth Services Review, Elsevier, vol. 77(C), pages 153-163.
- Friedman, Jerome H. & Hastie, Trevor & Tibshirani, Rob, 2010. "Regularization Paths for Generalized Linear Models via Coordinate Descent," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i01).
- Keith Kranker & So O'Neil & Vanessa Oddo & Miriam Drapkin & Margo Rosenbach, "undated". "Strategies for Using Vital Records to Measure Quality of Care in Medicaid and CHIP Programs," Mathematica Policy Research Reports 4c9ca4dbc4d24cf5ac7dc5923, Mathematica Policy Research.
- repec:mpr:mprres:8116 is not listed on IDEAS
- Linzer, Drew A. & Lewis, Jeffrey B., 2011. "poLCA: An R Package for Polytomous Variable Latent Class Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i10).
- Lindsey J. Leininger & Brendan Saloner & Laura R. Wherry, "undated". "Predicting High-Cost Pediatric Patients: Derivation and Validation of a Population-Based Model," Mathematica Policy Research Reports ebd623af7cac414a9a8c7f95e, Mathematica Policy Research.
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This paper has been announced in the following NEP Reports:- NEP-HEA-2018-04-23 (Health Economics)
- NEP-IAS-2018-04-23 (Insurance Economics)
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