On the use of sampling weights when estimating regression models with survey data
type: Item
instance of: scholarly article
title: On the use of sampling weights when estimating regression models with survey data
zbMATH Open document ID: 0952.62106
DOI: 10.1016/S0304-4076(97)00086-9
author: A. L. Robb
author: Lonnie Magee
author: John B. Burbidge
published in: Journal of Econometrics
publication date: 1999-08-22T00:00:00Z
Mathematics Subject Classification ID: 62P20
Mathematics Subject Classification ID: 62J05
zbMATH DE Number: 1326279
zbMATH Keywords: survey data
zbMATH Keywords: weighted least squares
zbMATH Keywords: endogenous sampling
zbMATH Keywords: sampling weights
MaRDI profile type: Publication
cites work: Q4802629
cites work: Using Sample Survey Weights in Multiple Regression Analyses of Stratified Samples
cites work: A simplified approach to M-estimation with application to two-stage estimators
cites work: Sample Selection Bias as a Specification Error
cites work: Efficient estimation and stratified sampling
cites work: The Role of Sampling Weights When Modeling Survey Data
cites work: Weighted generalized least squares estimation for complex survey data
cites work: A Monte Carlo Investigation of the Box-Cox Transformation in Small Samples
full work available at URL: s0304-4076(97)00086-9
OpenAlex ID: W2017093321
description: scientific article; zbMATH DE number 1326279