0000000000096186
AUTHOR
George Hodulik
sj-pdf-1-ssc-10.1177_08944393221082685 – Supplemental Material for Adapting Cohort-Component Methods to a Microsimulation: A case study
Supplemental Material, sj-pdf-1-ssc-10.1177_08944393221082685 for Adapting Cohort-Component Methods to a Microsimulation: A case study by Ivan Puga-Gonzalez, Rachel J. Bacon, David Voas, F. LeRon Shults, George Hodulik and Wesley J. Wildman in Social Science Computer Review
sj-pdf-1-ssc-10.1177_08944393221082685 – Supplemental Material for Adapting Cohort-Component Methods to a Microsimulation: A case study
Supplemental Material, sj-pdf-1-ssc-10.1177_08944393221082685 for Adapting Cohort-Component Methods to a Microsimulation: A case study by Ivan Puga-Gonzalez, Rachel J. Bacon, David Voas, F. LeRon Shults, George Hodulik and Wesley J. Wildman in Social Science Computer Review
Adapting Cohort-Component Methods to a Microsimulation: A case study
Social scientists generally take United Nations (UN) population projections as the baseline when considering the potential impact of any changes that could affect fertility, mortality or migration, and the UN typically does projections using the cohort-component method (CCM). The CCM technique is computationally simple and familiar to demographers. However, in order to avoid the exponential expansion of complexity as new dimensions of individual difference are added to projections, and to understand the sensitivity of projections to specific conditions, agent-based microsimulations are a better option. CCMs can mask hidden assumptions that are surfaced by the construction of microsimulatio…