Bias and efficiency loss in regression estimates due to duplicated observations: a Monte Carlo simulation

Recent studies documented that survey data contain duplicate records. We assess how duplicate records affect regression estimates, and we evaluate the effectiveness of solutions to deal with duplicate records. Results show that the chances of obtaining unbiased estimates when data contain 40 doubl...

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Bibliographic Details
Main Authors: Francesco Sarracino, Malgorzata Mikucka
Format: Article
Language:English
Published: European Survey Research Association 2017-04-01
Series:Survey Research Methods
Subjects:
Online Access:https://ojs.ub.uni-konstanz.de/srm/article/view/7149