Microsimulation population projections with SAS :: a reference guide /: Guillaume Marois, Samir KC.

Marois, Guillaume,; KC, Samir,

doi:10.1007/978-3-030-79111-7

Microsimulation population projections with SAS : a reference guide / Guillaume Marois, Samir KC.

Marois, Guillaume, 1984-; KC, Samir, author.

2021

HB849.5

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Title

Microsimulation population projections with SAS : a reference guide / Guillaume Marois, Samir KC.

Author

Marois, Guillaume, 1984-

ISBN

9783030791117 (electronic bk.)
3030791114 (electronic bk.)
3030791106
9783030791100

DOI

https://doi.org/10.1007/978-3-030-79111-7

Publication Details

Cham, Switzerland : Springer, 2021.

Language

English

Description

1 online resource

Item Number

10.1007/978-3-030-79111-7 doi

Call Number

HB849.5

Dewey Decimal Classification

304.6072/7

Summary

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.

Bibliography, etc. Note

Includes bibliographical references.

Access Note

Open access.

Source of Description

Online resource; title from PDF title page (SpringerLink, viewed August 12, 2021).

Added Author

KC, Samir, author.

Series

SpringerBriefs in population studies, 2211-3215

Available in Other Form

Microsimulation population projections with SAS.