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Further thoughts on simplicity and complexity in population projection models.
International Journal of Forecasting
|September 26, 2002
Summary
This review examines population projection models, discussing model complexity, forecast accuracy, and efficiency. It offers a unique perspective on evaluating and producing population projections.
Area of Science:
- Demography
- Population Studies
- Mathematical Modeling
Background:
- A special issue of Mathematical Population Studies focused on comparing simple versus complex population projection models.
- This article reviews and responds to the special issue, offering an additional perspective.
Purpose of the Study:
- To provide a critical perspective on the performance of population projection models.
- To discuss key issues in population projection, including definitions, accuracy, disaggregation, forecast combination, evaluation criteria, and economic efficiency.
Main Methods:
- Literature review and critical analysis of existing research on population projection models.
- Discussion of empirical evidence and theoretical considerations related to model complexity and accuracy.
Main Results:
- The article does not present new empirical results but synthesizes and critiques existing findings.
- It highlights the need for clear definitions of model simplicity and complexity.
- It discusses the trade-offs between model complexity, data requirements, and forecast accuracy.
Conclusions:
- Evaluating population projection models requires considering multiple criteria beyond just complexity.
- The economic efficiency of producing population projections is an important, often overlooked, factor.
- Further research is needed on combining forecasts and optimizing disaggregation strategies.