Using Sample Survey Weights in Multiple Regression Analyses of Stratified Samples

DOI10.2307/2288115zbMath0533.62011OpenAlexW4249409719MaRDI QIDQ3316367

Greg J. Duncan, William H. DuMouchel

Publication date: 1983

Full work available at URL: https://doi.org/10.2307/2288115

zbMATH Keywords

finite populationstratified samplingmultiple regressionweighted least squares estimatorsuper population modelsimple random sampleeducational attainment modelsample survey weights

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Sampling theory, sample surveys (62D05)

Related Items (13)

Inference for superpopulation parameters using sample surveys ⋮ Inference on inequality from household survey data ⋮ Weighted generalized least squares estimation for complex survey data ⋮ Diagnostic Tests for the Necessity of Weight in Regression With Survey Data ⋮ Developments in Survey Research over the Past 60 Years: A Personal Perspective ⋮ Struggles with survey weighting and regression modeling ⋮ Panel‐based stratified cluster sampling and analysis for photovoltaic outdoor measurements ⋮ Estimation of regression coefficient from survey data based on test of significance ⋮ Correcting classifiers for sample selection bias in two-phase case-control studies ⋮ MOMENT-BASED INFERENCE WITH STRATIFIED DATA ⋮ On the use of sampling weights when estimating regression models with survey data ⋮ Weighting in the regression analysis of survey data with a cross-national application ⋮ Asymptotic inference from multi-stage samples

This page was built for publication: Using Sample Survey Weights in Multiple Regression Analyses of Stratified Samples