The Eighth Annual Workshop on Formal Demography will be held on June 6-10, 2022, virtually, with funding from the Center on the Economics and Demography of Aging (CEDA) and the Berkeley Population Center. The theme of this course will be COVID-19 and Formal Demography, with explorations into mortality and fertility.
Target population: The workshops are aimed both at those with prior demographic training and those who have not studied demography but already have quantitative skills in another area. Advanced graduate students, post-doctoral fellows, and early career researchers and faculty are welcome to apply. We are interested in increasing the diversity of the field and encourage applicants from all backgrounds.
Future workshops will be made available, subject to funding.
Primary Instructors: Joshua Goldstein (PI), Dennis Feehan (Assistant Professor) and Ayesha Mahmud (Assistant Professor). All three are in the Department of Demography.
Curriculum: We will be using the fundamental tools of formal demography such as stable population theory and the mathematics of mortality, and other demographic outcomes, to understand the implications of the Covid-19 pandemic. The content and materials will be available soon: you may find the materials from the 2021 workshop here.
Day 1 of the workshop covered matrix population models and stable population theory.
Day 2 of the workshop covered mortality modeling, focusing on the continuous representation of the liftable with hazards.
Day 3 of the workshop featured applications and extensions of the formal models in Days 1 and 2, applying them to Covid-19 topics such as (1) the impact of age structure on Covid-19 outcomes, (2) measures of mortality impact beyond life expectancy, (3) optimal vaccination policy, (4) estimating R0 from contact matrices, and (5) the recovery of fertility and marriage after a temporary shock.
Days 4 and 5 featured guest speakers presenting new research on Covid-19 using formal demographic methods.
•For any questions, please write to the Executive Director, Berkeley Population Center, email@example.com (link sends e-mail).