On the use of sampling weights when estimating regression models with survey data

DOI10.1016/S0304-4076(97)00086-9zbMath0952.62106OpenAlexW2017093321MaRDI QIDQ1298447

A. L. Robb, John B. Burbidge, Lonnie Magee

Publication date: 22 August 1999

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0304-4076(97)00086-9

zbMATH Keywords

survey dataweighted least squaressampling weightsendogenous sampling

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Linear regression; mixed models (62J05)

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Cites Work

• Unnamed Item
• A simplified approach to M-estimation with application to two-stage estimators
• Weighted generalized least squares estimation for complex survey data
• Efficient estimation and stratified sampling
• The Role of Sampling Weights When Modeling Survey Data
• Using Sample Survey Weights in Multiple Regression Analyses of Stratified Samples
• A Monte Carlo Investigation of the Box-Cox Transformation in Small Samples
• Sample Selection Bias as a Specification Error

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