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MICT: multiple imputation for categorical time-series

Date
2015
Abstract
The MICT package provides a method for multiple imputation for categorical time-series data such as lifecourse or employment-status histories that preserves longitudinal consistency, using a monotonic series of imputations. It allows flexible imputation specifications, with a model appropriate to the target variable (mlogit, ologit etc.). Where transitions are substantially less frequent than once per time-unit, and where missingness tends to be consecutive (as is typical of lifecourse data), it produces imputations with better longitudinal consistency than mi impute or ice.
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Description
non-peer-reviewed
Publisher
Department of Sociology, University of Limerick
Citation
Department of Sociology;Working Paper WP2015-02
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Funding Information
Sustainable Development Goals
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