Microsimulation Population Projections with SAS
Description
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.
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Persons
Guillaume Marois is a distinguished professor at the Asian Demographic Research Institute (ADRI) of the Shanghai University and a research scholar at the International Institute for Applied Systems Analysis (Vienna, Austria). He has more than ten years of experience in population projection and microsimulation methods. He already developed innovative microsimulation models for Europe and Canada and published many scientific papers in reputed international journals. His main research interests include demographic projections, microsimulation, human capital, labor force participation, immigration, and internal mobility.
Samir KC is a professor and a founding member of the Asian Demographic Research Institute (ADRI) at Shanghai University. KC leads ADRI's research pillar on Human Capital and Development. In parallel, KC works at the International Institute for Applied Systems Analysis (IIASA). KC is a founding member of the Digital Data System for Development, Kathmandu, Nepal. KC's work has been published in science magazine and other peer-reviewed journals and books. KC's major research interests are: developing and applying multistate population models in demographic analysis and projections, with a particular focus on modeling human capital formation in education and health, and differential vulnerability to natural disasters at national and sub-national levels.