Analysis of treatment response data from eligibility designs
From MaRDI portal
Publication:295408
DOI10.1016/j.jeconom.2008.04.010zbMath1418.62389OpenAlexW2112117542MaRDI QIDQ295408
Publication date: 13 June 2016
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/11343/122214
instrumental variableMarkov chain Monte Carloheterogeneitymarginal likelihoodconfoundingpotential outcomestreatment effectprincipal stratificationnon-complianceeligibility designsnon-randomly assigned treatmentpartial compliance
Applications of statistics to economics (62P20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)
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Cites Work
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- Bayesian inference for causal effects in randomized experiments with noncompliance
- Analysis of treatment response data without the joint distribution of potential outcomes
- Modeling and calculating the effect of treatment at baseline from panel outcomes
- Bayes inference in regression models with ARMA\((p,q)\) errors
- Bayesian analysis of cross-section and clustered data treatment models
- Semiparametric Bayes analysis of longitudinal data treatment models
- Marginal Likelihood from the Gibbs Output
- Analysis of multivariate probit models
- 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
- 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
- Principal Stratification Approach to Broken Randomized Experiments
- Assessing the effect of an influenza vaccine in an encouragement design
- Marginal Likelihood From the Metropolis–Hastings Output
- Bayesian Analysis of Binary and Polychotomous Response Data
- Structural Equations, Treatment Effects, and Econometric Policy Evaluation1
- 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
