Detalles del Título
Detalles del Título

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Título Causal inference for statistics, social, and biomedical sciences: an introduction / Guido W. Imbens, Stanford University, Donald B. Rubin, Harvard University. Libros / Impreso - Libros
Autor(es) Imbens, Guido W. (Autor)
Rubin, Donald B. (Autor)
Publicación New York, NY : Cambridge University Press, 2015
Descripción Física xix, 625 páginas : ilustraciones ; 26 cm
Idioma Inglés;
ISBN 9780521885881
Clasificación(es) 519.54
POLITICAS PUBLICAS
ECONOMIA
Departamento de Economía
Materia(s) Estadística matemática; Investigación social; Causalidad; Inferencia;
Nota(s) Incluye referencias bibliográficas (páginas 591-604) e índice.
CONTENIDO: Introduction. Causality: The basic framework -- A brief history of the potential-outcome approach to causal inference -- A classification of assignment mechanisms -- Classical Randomized Experiments. A taxonomy of classical randomized experiments -- Fisher's exact P-values for completely randomized experiments -- Neyman's repeated sampling approach to completely randomized experiments -- Regression methods for completely randomized experiments -- Model-based inference for completely randomized experiments -- Stratified randomized experiments -- Pairwise randomized experiments -- Case study: an experimental evaluation of a labor-market program -- Regular Assignment Mechanisms: Design. Uconfounded treatment assignment -- Estimating the propensity score -- Assessing overlap in covariate distributions -- Matching to improve balance in covariate distributions -- Trimming to improve balance in covariate distributions -- Regular Assignment Mechanisms: Analysis. Subclassification on the propensity score -- Matching estimators -- A general method for estimating sampling variances for standard estimators for average causal effects -- Inference for general causal estimands -- Regular Assignment Mechanisms: Supplementary Analyses. Assessing unconfoundedness -- Sensitivity analysis and bounds -- Regular Assignment Mechanisms with Noncompliance: Analysis. Instrumental-variables analysis of randomized experiments with one-sided noncompliance -- Instrumental-variables analysis of randomized experiments with two-sided noncompliance -- Model-based analysis in instrumental variable settings: Randomized experiments with two-sided noncompliance -- Conclusión. Conclusions and extensions.
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