Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition
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Publication:4975638
DOI10.1080/01621459.2014.896804zbMath1368.62308OpenAlexW2037177716MaRDI QIDQ4975638
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Publication date: 7 August 2017
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: http://doc.rero.ch/record/324487/files/treatmentevaluationwithmultipleoutcomeperiodsunderendogeneityandattrition.pdf
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Cites Work
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- Nonparametric IV estimation of local average treatment effects with covariates
- Estimating panel data models in the presence of endogeneity and selection
- Semiparametric instrumental variable estimation of treatment response models.
- The performance of estimators based on the propensity score
- Sharp bounds on the causal effects in randomized experiments with ``truncation-by-death
- Estimation of Dynamic Panel Data Sample Selection Models
- Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects
- An Extended General Location Model for Causal Inferences from Data Subject to Noncompliance and Missing Values
- Evaluating the effects of job training programs on wages through principal stratification
- Dealing with limited overlap in estimation of average treatment effects
- Inference and missing data
- Addressing complications of intention-to-treat analysis in the combined presence of all-or-none treatment-noncompliance and subsequent missing outcomes
- Identification and Estimation of Local Average Treatment Effects
- Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme
- Estimation of a Panel Data Sample Selection Model
- Nonparametric Estimation of Sample Selection Models
- Moment Estimation With Attrition
- Inference for the Complier-Average Causal Effect From Longitudinal Data Subject to Noncompliance and Missing Data, With Application to a Job Training Assessment for the Unemployed
- Marginal Mean Models for Dynamic Regimes
- Principal Stratification Approach to Broken Randomized Experiments
- Combining Panel Data Sets with Attrition and Refreshment Samples
- Estimating the causal effect of a time‐varying treatment on time‐to‐event using structural nested failure time models
- A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
- Evaluating the Effect of Training on Wages in the Presence of Noncompliance, Nonemployment, and Missing Outcome Data
- Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer
- Likelihood-Based Analysis of Causal Effects of Job-Training Programs Using Principal Stratification
- Does Finasteride Affect the Severity of Prostate Cancer? A Causal Sensitivity Analysis
- Application of the Principal Stratification Approach to the Faenza Randomized Experiment on Breast Self‐Examination
- Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
- Methodology for Evaluating a Partially Controlled Longitudinal Treatment Using Principal Stratification, With Application to a Needle Exchange Program
- Analyzing a randomized trial on breast self-examination with noncompliance and missing outcomes
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