The Role of Microsimulation in Longitudinal Data Analysis
policies, for the generation of programmatic cost estimates, and dynamic
analyses of socio-economic and demographic systems. However,
microsimulation also has the potential to contribute to longitudinal data analysis in several ways, including extending the range of outputs generated by a model, addressing several defective-data problems, and serving as a vehicle for missing-data imputation. This paper discusses microsimulation procedures suitable for several commonly-used statistical models applied to longitudinal data. It also addresses the unique role that can be played by microsimulation in longitudinal data analysis, and the problem of accounting for the several sources of variability associated with microsimulation procedures.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.
Canadian Studies in Population | E-ISSN 1927-629X
Copyright © Canadian Population Society