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The development and use of demographic models.

A Coale1, J Trussell

  • 1Office of Population Research, Princeton University, NJ.

Population Studies
|November 1, 1996
PubMed
Summary

This review explores classical and modern demographic models, including life tables and stable populations. It covers mathematical and empirical models for conception, birth, mortality, fertility, and migration, aiding population forecasting.

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Area of Science:

  • Demography
  • Population Studies
  • Mathematical Modeling

Background:

  • Classical demographic models like life tables and stable populations are foundational.
  • Modern generalizations extend stable population theory.
  • Mathematical models are crucial for understanding demographic processes.

Observation:

  • Formal demography utilizes purely mathematical relations.
  • Empirical patterns inform model age schedules for mortality, fertility, and migration.
  • Model stable populations integrate model life tables.

Findings:

  • The review examines mathematical models of conception and birth.
  • It discusses empirical models for mortality, nuptiality, fertility, and migration.
  • Model age schedules for postpartum amenorrhea and sterility are also considered.

Implications:

  • Demographic models are essential tools for population forecasting and projection.
  • Understanding these models aids in predicting future demographic trends.
  • Microsimulation models offer advanced approaches to demographic analysis.

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