So sánh phương pháp

	Demographic Balancing Equation	Phương pháp Ước tính Dân số theo Sinh-Tử-Di cư (Cohort-Component Projection)
Lĩnh vực	Nhân khẩu học	Nhân khẩu học
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1976	2001
Người khởi xướng	Classical demographic accounting identity	Preston, Heuveline & Guillot
Loại	Population accounting identity for change over a period	Demographic projection pipeline
Công trình gốc	Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 9781557864512	Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 978-1-557-86451-2
Tên gọi khác	Balancing Equation of Population Change, Population Accounting Equation, Components of Population Change Identity	Cohort-Component Method, Component Method of Population Projection, Age-Sex-Specific Population Projection, Kohort-Bileşen Projeksiyonu
Liên quan	4	3
Tóm tắt	The demographic balancing equation is the fundamental accounting identity of population change: a population at the end of a period equals its size at the start, plus births, minus deaths, plus in-migrants, minus out-migrants. It is the bookkeeping rule that ties together all the components of population dynamics and guarantees internal consistency in population estimates and projections. Because it is an exact identity, it also serves as a powerful estimation tool — any single unknown component, most often net migration, can be recovered as the residual once the others are known.	Cohort-Component Projection is the standard demographic method for forecasting future population size and age-sex structure by explicitly tracking births, deaths, and migration for each age-sex cohort across discrete time steps. Systematically formalized in the textbook literature by Preston, Heuveline, and Guillot (2001), the method builds on foundational actuarial and demographic work dating to the early twentieth century and remains the workhorse technique used by national statistical offices and international organizations worldwide.