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Economic development and fertility: an empirical analysis using cross-national data
Genus
|July 1, 1992
Summary
Economic theories now analyze fertility, moving beyond traditional scope. This study reviews statistical assumptions for economic development and fertility models, crucial for accurate analysis.
Area of Science:
- Economics
- Demography
- Sociology
Background:
- Fertility studies were historically outside economic theory until the 1950s.
- Economic analysis has expanded to include non-market household behavior and human capital.
- This expansion enables the economic study of fertility dynamics.
Purpose of the Study:
- To examine the statistical assumptions underpinning economic models of fertility.
- To critically evaluate the methodologies used in analyzing the relationship between economic development and fertility.
- To provide a foundation for more robust statistical analysis in this interdisciplinary field.
Main Methods:
- Review of existing economic theories on fertility.
- Analysis of statistical assumptions in multiple regression models.
- Examination of areal cross-national data methodologies.
Main Results:
- Identified critical statistical assumptions in common fertility-economic models.
- Highlighted potential limitations of current testing methodologies.
- Underscored the importance of rigorous assumption checking for valid conclusions.
Conclusions:
- Economic analysis of fertility is now feasible and increasingly important.
- Statistical assumptions in current models require careful scrutiny for accurate interpretation.
- Further research should focus on refining statistical methods for fertility-economic research.