dc.contributor.author | Halpin, Brendan | |
dc.date.accessioned | 2015-09-22T10:23:58Z | |
dc.date.available | 2015-09-22T10:23:58Z | |
dc.date.issued | 2015 | |
dc.identifier.uri | http://hdl.handle.net/10344/4647 | |
dc.description | non-peer-reviewed | en_US |
dc.description.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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Department of Sociology: University of Limerick | en_US |
dc.relation.ispartofseries | Department of Sociology;Working Paper WP2015-02 | |
dc.relation.uri | http://www3.ul.ie/sociology/index.php?pagid=working-papers | |
dc.subject | MICT | en_US |
dc.subject | time-series data | en_US |
dc.subject | labour | en_US |
dc.title | MICT: multiple imputation for categorical time-series | en_US |
dc.type | info:eu-repo/semantics/workingPaper | en_US |
dc.type.supercollection | all_ul_research | en_US |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | en_US |