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Imputing sequence data: extensions to initial and terminal gaps, stata’s mi

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posted on 2014-01-23, 09:54 authored by BRENDAN HALPINBRENDAN HALPIN
In a previous paper (Halpin, 2012) (downloadable) I have described a strategy for multiple imputation for missing data in sequence data (that is, in categorical time series), where missingness tends to be consecutive and take the form of gaps. In this note I document two improvements made to the initial approach: the use of Stata’s built-in mi multiple-imputation framework for prediction, and the imputation of gaps at the beginning and end of the sequence (which was allowed for, but not implemented, in the original version). I also document the implementation of the algorithm in Stata, in more detail than previously (see section Code).

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Publication

University of Limerick Department of Sociology Working Paper Series;WP2013-01

Publisher

Department of Sociology, University of Limerick

Note

peer-reviewed

Language

English

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