After showing that the estimates provided by three main ecological inference methods are heavily biased when compared to multilevel logistic models applied to a set of real individual data, the paper argues that ecological bias can be corrected only by accounting for relevant covariates. In addition, a data generating mechanism where bias cannot even be corrected by using covariates is described.

Modelling the effect of covariates for unbiased estimates in ecological inference methods.

antonio forcina;michela gnaldi
2018-01-01

Abstract

After showing that the estimates provided by three main ecological inference methods are heavily biased when compared to multilevel logistic models applied to a set of real individual data, the paper argues that ecological bias can be corrected only by accounting for relevant covariates. In addition, a data generating mechanism where bias cannot even be corrected by using covariates is described.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11391/1442192
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