Impact evaluation of job training programmes: Selection bias in multilevel models

DOI10.1080/0266476032000075976zbMath1121.62328OpenAlexW2007805548MaRDI QIDQ3591868

Ruggero Bellio, Enrico Gori

Publication date: 11 September 2007

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/0266476032000075976

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

A multilevel multinomial logit model for the analysis of graduates' skills ⋮ Selection bias in linear mixed models ⋮ A unified approach to multilevel sample selection models ⋮ Handling dropout and clustering in longitudinal multicentre clinical trials

Uses Software

• SAS/STAT
• aML

Cites Work

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• Likelihood-based inference with singular information matrix
• Local Sensitivity Approximations for Selectivity Bias
• Methods for Conducting Sensitivity Analysis of Trials with Potentially Nonignorable Competing Causes of Censoring
• Generalized Econometric Models with Selectivity
• The central role of the propensity score in observational studies for causal effects
• Statistics and Causal Inference
• Standard Errors of Prediction in Generalized Linear Mixed Models
• 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 role of the propensity score in estimating dose-response functions
• Modelling Impact Heterogeneity
• Some Practical Issues in the Evaluation of Heterogeneous Labour Market Programmes by Matching Methods
• A Random-Effects Ordinal Regression Model for Multilevel Analysis
• Observational studies.

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