Microsimulation Population Projections with SAS: A Reference Guide (SpringerBriefs in Population Studies)

✍ Scribed by Guillaume Marois, Samir KC

Publisher: Springer
Year: 2021
Tongue: English
Leaves: 116
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Contents
List of Figures
List of Tables
1 Introduction
1.1 Why This Book?
1.2 What Is Microsimulation? Why Use It?
1.3 Examples of Demographic Projections Using Microsimulation
References
2 Getting Started
2.1 Properties of the Microsimulation Model
2.2 The Multistate Model for India
2.3 The Base Population
2.4 Setting up the Workspace and Importing Parameters
References
3 Converting a Cohort Component Model into a Microsimulation Model
3.1 Mortality Event
3.2 Education Module
3.3 Domestic Migration Module
3.4 Fertility Module
3.5 Reclassification of Rural to Urban Areas
3.6 Preparing the Population File for the Next Step
3.7 Generating Outputs
3.8 Cleaning the Workspace
3.9 Simulating for Next Periods
3.10 Validation of Results
References
4 Adding New Dimensions
4.1 Adjusting the Workspace for the Addition of New Dimensions
4.2 Labour Force Participation Module
4.3 Sector of Activity Module
4.4 Including the New Dimensions in the Outputs
4.5 Overview of Results
References
5 Building Alternative Scenarios
5.1 Building Alternative Scenarios from Regression Parameters
5.2 Example 1: The Impact of Having a Young Child on Labour Force Participation and the Sector of Activity
5.3 Example 2: Gender Equality in Labour Force Participation
6 Extending and Adapting the Model
6.1 A Flexible Model
6.2 Updating Input Files
6.3 Changing the Time Span of the Projection
6.4 Turning Off Modules
6.4.1 Domestic Migration and Rural to Urban Reclassification
6.4.2 Sector of Activity
6.5 Building a Deterministic Module in a Microsimulation Model for International Migration
6.5.1 Emigration
6.5.2 Immigration
6.5.3 Adjusting the Exposure in the Fertility Module
6.6 Adjusting Outputs and the Population File for the Next Period
6.7 Calibrating Simulation Outcomes
6.8 Overview of Results
References
7 Conclusion
References

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