Estimating treatment effects for discrete outcomes when responses to treatment vary: an application to Norwegian vocational rehabilitation programs

DOI10.1016/j.jeconom.2004.04.002zbMath1334.62203OpenAlexW2160618221MaRDI QIDQ262712

Edward J. Vytlacil, James J. Heckman, Arild Aakvik

Publication date: 30 March 2016

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jeconom.2004.04.002

zbMATH Keywords

discrete-choice modelssocial program evaluationvocational rehabilitation

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Statistical methods; economic indices and measures (91B82)

Related Items (12)

Dynamic discrete choice and dynamic treatment effects ⋮ Bayesian treatment effects models with variable selection for panel outcomes with an application to earnings effects of maternity leave ⋮ Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality ⋮ Treatment Effects: A Bayesian Perspective ⋮ On the treatment effects of a binary choice outcome model ⋮ Nonparametric identification and estimation of the extended Roy model ⋮ A NEW FRAMEWORK FOR THE ANALYSIS OF INEQUALITY ⋮ Self-selection and direct estimation of across-regime correlation parameter ⋮ Public policy, innovation and total factor productivity: An application to Taiwan's manufacturing industry ⋮ SHARP BOUNDS ON THE DISTRIBUTION OF TREATMENT EFFECTS AND THEIR STATISTICAL INFERENCE ⋮ Partial identification of the treatment effect distribution and its functionals ⋮ THE EFFECTS OF VOCATIONAL REHABILITATION FOR PEOPLE WITH COGNITIVE IMPAIRMENTS

Cites Work

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• Alternative methods for evaluating the impact of interventions. An overview
• Partial observability in bivariate probit models
• A characterization of monotone unidimensional latent variable models
• The relationship between treatment parameters within a latent variable framework
• Observational studies
• A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data
• The central role of the propensity score in observational studies for causal effects
• A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model
• Nonparametric and Districtuion-Free Estimation of the Binary Threshold Crossing and The Binary Choice Models
• Identification and Estimation of Local Average Treatment Effects
• Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts
• Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme
• The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish
• Characterizing Selection Bias Using Experimental Data
• The Effect of Sample Selection and Initial Conditions in Duration Models: Evidence from Experimental Data on Training
• The Logic of Inductive Inference
• Structural Equations, Treatment Effects, and Econometric Policy Evaluation1
• Independence, Monotonicity, and Latent Index Models: An Equivalence Result
• A New Approach to Estimating Switching Regressions

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