Last modified: 2018-06-21
Abstract
After showing that the estimates provided by three main ecological in- ference 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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