Analysis of treatment response data from eligibility designs

DOI10.1016/j.jeconom.2008.04.010zbMath1418.62389OpenAlexW2112117542MaRDI QIDQ295408

Liana Jacobi, Siddhartha Chib

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

zbMATH Keywords

instrumental variableMarkov chain Monte Carloheterogeneitymarginal likelihoodconfoundingpotential outcomestreatment effectprincipal stratificationnon-complianceeligibility designsnon-randomly assigned treatmentpartial compliance

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items

Bayesian treatment effects models with variable selection for panel outcomes with an application to earnings effects of maternity leave, NONPARAMETRIC BAYES ANALYSIS OF THE SHARP AND FUZZY REGRESSION DISCONTINUITY DESIGNS, Estimating a treatment effect under uncertainty with application to a high‐speed railway system, A Likelihood-Based Analysis for Relaxing the Exclusion Restriction in Randomized Experiments with Noncompliance

Cites Work

• Unnamed Item
• Unnamed Item
• 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