With a strong focus on practical applications, the authors explore various strategies for employing PSA. In addition, they discuss the use of PSA with alternative types of data and limitations of PSA under a variety of constraints. Unlike the existing textbooks on program evaluation and causal inference, Propensity Score Analysis delves into statistical concepts, formulas, and models in the context of a robust and engaging focus on application. INDICE: Chapter 1: IntroductionChapter 2: Counterfactual Framework and AssumptionsChapter 3: Conventional Methods for Data BalancingChapter 4: Sample Selection and Related ModelsChapter 5: Propensity Score Matching and Related ModelsChapter 6: Propensity Score SubclassificationChapter 7: Propensity Score WeightingChapter 8: Matching EstimatorsChapter 9: Propensity Score Analysis with Nonparametric RegressionChapter 10: Propensity Score Analysis of Categorical or Continuous TreatmentsChapter 11: Selection Bias and Sensitivity AnalysisChapter 12: Concluding Remarks
- ISBN: 978-1-4522-3500-4
- Editorial: SAGE Publications, Inc
- Encuadernacion: Tela
- Páginas: 440
- Fecha Publicación: 31/07/2014
- Nº Volúmenes: 1
- Idioma: