Does Marriage Boost Men’s Wages?: Identification of Treatment Effects in Fixed Effects Regression Models for Panel Data

DOI10.1080/01621459.2011.646917zbMath1261.62106OpenAlexW2102561662MaRDI QIDQ4916485

Michael E. Sobel

Publication date: 22 April 2013

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2011.646917

zbMATH Keywords

longitudinal datafixed effectscausal inferenceunobserved confoundersunobserved variablesmarriage premium

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to social sciences (62P25) Linear inference, regression (62J99)

Related Items (1)

The role of conditional likelihoods in latent variable modeling

Cites Work

• Statistical inference in dynamic panel data models
• Causal effects in longitudinal studies: Definition and maximum likelihood estimation
• Multivariate regression models for panel data
• Analysis of Panel Data
• Principal Stratification in Causal Inference
• What Do Randomized Studies of Housing Mobility Demonstrate?
• Structural Nested Mean Models for Assessing Time-Varying Effect Moderation
• The central role of the propensity score in observational studies for causal effects
• Marginal Structural Models to Estimate the Joint Causal Effect of Nonrandomized Treatments
• The Nonparametric Identification of Treatment Effects in Duration Models

This page was built for publication: Does Marriage Boost Men’s Wages?: Identification of Treatment Effects in Fixed Effects Regression Models for Panel Data