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HU Credits:
4
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Sociology & Anthropology
Semester:
2nd Semester
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Barbara Okun
Coordinator Office Hours:
by appointment
Teaching Staff:
Prof Barbara Okun
Course/Module description:
The purpose of this course is to introduce students to mathematical tools for understanding population processes and to present models for the analysis of demographic data. We will discuss the application of demographic models to areas such as fertility, marriage, divorce and mortality.
The course assumes basic understanding of probability and statistics
Course/Module aims:
The purpose of this course is to introduce students to mathematical tools for understanding population processes and to present models for the analysis of demographic data.
Learning outcomes - On successful completion of this module, students should be able to:
•Compute and interpret demographic rates
•Construct and analyze forms of life tables
•Apply the concepts of weak and strong ergodicity to population processes
•Analyze the structure and characteristics of stable populations and their change
•Construct and analyze alternative measures and models of fertility
•Apply statistical models (such as survival models) to demographic data
Attendance requirements(%):
Teaching arrangement and method of instruction:
Lectures, discussions
Course/Module Content:
Sources of Demographic Data
The Balancing Equation for Populations
Exponential Population Growth
Cohorts and Periods
Rates and Probabilities
Life Tables
Cohort Life Tables
Period Life Tables
Stable Population Theory
Weak ergodicity
Strong ergodicity
Stable Age Distributions
Sources of Error in Demographic Data; Age Misreporting
Model Life Tables and Model Stable Populations
More on Life Tables
Multiple Decrement Life Tables
Mathematics and the Life Table
Heterogeneity and the survival curve
Measures of Fertility
Review of Basic Measures
Bongaarts' Decomposition of Fertility into Proximate Determinants
Timing Effects on Measures of Period Fertility
Selected Topics in Statistics for Demographers
Hazard Models
Logistic Regression Models
Required Reading:
Sources of Demographic Data:
Carmichael, G. A. 2016. Fundamentals of Demographic Analysis: Concepts, Measures, and Methods Springer. Chapter 1, pp. 4-19.
Population Growth:
Wachter, K. 2014. Essential Demographic Methods. Harvard University Press Chapter 1, pp. 5-26.
Preston, S. and Y.C. Vierboom. 2021. “The Changing Age Distribution of the United States” Population and Development Review, 47(2):527-539.
Periods and Cohorts as Concepts: Wachter, K. 2014. Essential Demographic Methods. Harvard University Press Chapter 2, pp. 30-46.
Life Tables:
Weinstein, J. and V.K. Pillai. 2000. Demography: The Science of Population. Boston: Allyn and Bacon. Chapter 9, “The Life Table: An Introduction” pp. 261-293.
Stable Population Theory:
Wachter, K. 2014. Essential Demographic Methods Cambridge, MA: Harvard University Press . Chapter 10, pp. 218-249.
Model Life Tables and Model Stable Populations:
Hinde, A. 1998. Demographic Methods London: Arnold. Chapter 14, “Applications of Stable Population Theory” pp. 176-189.
Measures of Fertility:
Wachter, K. 2014. Essential Demographic Methods. Cambridge, MA: Harvard
University Press. Chapter 7, pp. 125-150
Bongaarts, John and Griffith Feeney, 1998, "On the Quantum and Tempo of Fertility", Population and Development Review 24(2):271-291.
van Imhoff, Evert and Nico Keilman, 2000, "On the Quantum and Tempo of Fertility: Comment", Population and Development Review 26(3):549-553.
Bongaarts, John and Griffith Feeney, 2000, "On the Quantum and Tempo of Fertility: Reply", Population and Development Review 26(3):560-564.
Goldstein, J. et al 2009. "The End of Lowest-low Fertility?". Population and Development Review 35(4):663-699.
Bongaarts, J. and Sobotka, T. 2012. "Demographic Explanations for the Recent Rise in European Fertility". Population and Development Review 38(1):83-120.
**Exact reading list is subject to change. In general, feel free to read chapters from the Carmichael and Wachter textbooks. Both are excellent references for these materials, and are available as e-books via the University library system.
Additional Reading Material:
Course/Module evaluation:
End of year written/oral examination 70 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 30 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %
Additional information:
If it will not be possible to administer the exam in class, there will be a take-home exam.
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