Microsimulation Population Projections with SAS [electronic resource] : A Reference Guide / by Guillaume Marois, Samir KC.

За: Інтелектуальна відповідальність: Вид матеріалу: Текст Серія: SpringerBriefs in Population StudiesПублікація: Cham : Springer International Publishing : Imprint: Springer, 2021Видання: 1st ed. 2021Опис: IX, 110 p. 156 illus., 138 illus. in color. online resourceТип вмісту:
  • text
Тип засобу:
  • computer
Тип носія:
  • online resource
ISBN:
  • 9783030791117
Тематика(и): Додаткові фізичні формати: Printed edition:: Немає назви; Printed edition:: Немає назвиДесяткова класифікація Дьюї:
  • 304.6 23
Класифікація Бібліотеки Конгресу:
  • HB848-3697
Електронне місцезнаходження та доступ:
Вміст:
Chapter 1. Introduction -- Chapter 2. Getting Started -- Chapter 3. Converting a Cohort Component Model into a Microsimulation Model -- Chapter 4. Adding New Dimensions -- Chapter 5. Building Alternative Scenarios -- Chapter 6. Extending and Adapting the Model -- Chapter 7. Conclusion.
У: Springer Nature eBookЗведення: 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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Chapter 1. Introduction -- Chapter 2. Getting Started -- Chapter 3. Converting a Cohort Component Model into a Microsimulation Model -- Chapter 4. Adding New Dimensions -- Chapter 5. Building Alternative Scenarios -- Chapter 6. Extending and Adapting the Model -- Chapter 7. Conclusion.

Open Access

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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