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            Microsimulation Population Projections with SAS

            A Reference Guide

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            Auteur
            Marois, Guillaume
            KC, Samir
            Language
            English
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            Résumé
            This open access book provides a step-by-step overview on how to build a microsimulation model with SAS. It shows how to convert an already existing multistate projection by age, sex, education and region into a microsimulation model. Two new dimensions are then added, either the labor force participation and the sector of activity, and/or some examples of outputs and alternative scenarios that would not be possible with standard demographic methods. The book also describes how to adapt the model for other countries or other purposes. It also provides details on how to extend and adapt the model for other purposes as well as other use of microsimulation with SAS. The book suggests codes that are easy to understand, so they can be replicated or adapted for other purposes. As such, this book provides a great resource for people with beginner to intermediate knowledge in SAS.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/185225
            Keywords
            Microsimulation in SAS; Population Projection in SAS; Multidimensional Projection Methods; Statistical Software for Microsimulation; Coding Microsimulation; Projecting Labour Force Participation; Projecting Human Capital; Population Modelling in SAS; Demographic Projections; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBD Population and demography; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation
            DOI
            10.1007/978-3-030-79111-7
            ISBN
            9783030791117
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            2021
            Imprint
            Springer
            Series
            SpringerBriefs in Population Studies,
            Pages
            110
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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