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Table of Contents
Part I: A Model-Based View of Demography: 1. Demography in a New Key: A Theory of Population Theory
2. Data, Models and Reality: The Structure of Demographic Knowledge
3. Computer Modeling of Theory: Explanation for the 21st Century
4. Computer Simulation and Statistical Modeling: Rivals or Complements?
5. Does Demography Need Differential Equations? Part II: Some Demographic Models Re-visited: 6. Theory, Computers and the Parametrization of Demographic Behavior
7. Estimating the Goodman, Keyfitz, Pullum Kinship Equations: An Alternative Procedure
8. The Life Table as a Theoretical Model
9. The Cohort-Component Projection Algorithm: Technique, Model and Theory
10. The Cohort-Component Projection Model: A Strange Attractor for Demographers Part III: Teaching Demography: 11. Teaching Demography: Ten Principles and Two Rationales
12. Teaching the Fundamentals of Demography: A Model-Based Approach to Family and Fertility,
13. On Teaching Demography : Some Non-Traditional Guidelines
Part IV: Conclusion:14 Conclusion
Index.
2. Data, Models and Reality: The Structure of Demographic Knowledge
3. Computer Modeling of Theory: Explanation for the 21st Century
4. Computer Simulation and Statistical Modeling: Rivals or Complements?
5. Does Demography Need Differential Equations? Part II: Some Demographic Models Re-visited: 6. Theory, Computers and the Parametrization of Demographic Behavior
7. Estimating the Goodman, Keyfitz, Pullum Kinship Equations: An Alternative Procedure
8. The Life Table as a Theoretical Model
9. The Cohort-Component Projection Algorithm: Technique, Model and Theory
10. The Cohort-Component Projection Model: A Strange Attractor for Demographers Part III: Teaching Demography: 11. Teaching Demography: Ten Principles and Two Rationales
12. Teaching the Fundamentals of Demography: A Model-Based Approach to Family and Fertility,
13. On Teaching Demography : Some Non-Traditional Guidelines
Part IV: Conclusion:14 Conclusion
Index.