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The evolution of demographic methods.
1Center for Population and Development Studies, Renmin University of China, No. 59 Zhongguancun Ave, Beijing, 100872, China.
Social Science Research
|September 4, 2022
Summary
Demographic methods have evolved from macro-level analysis to incorporating micro-level data and regression models. Future advancements will integrate big data techniques while retaining formal methods for forecasting and data correction.
Area of Science:
- Demography
- Social Sciences
- Quantitative Methods
Background:
- Demographic methods have evolved significantly since the inception of demography.
- Early methods focused on macro-level population regularities and inductive explanations.
- Post-1960s saw a shift towards micro-level data and causal mechanisms.
Purpose of the Study:
- To trace the historical evolution of demographic methodologies.
- To identify key shifts in theoretical focus and data availability.
- To project future trends in demographic research techniques.
Main Methods:
- Historical analysis of demographic research trends.
- Examination of the impact of data availability (macro vs. micro surveys).
- Review of theoretical shifts towards causal inference and interdisciplinary methods.
Main Results:
- Demographic methods transitioned from formal techniques to regression-based models post-1960s.
- Increased use of interdisciplinary methods and micro-level survey data.
- Formal demographic techniques remain crucial for forecasting and data quality.
Conclusions:
- Demographic methods continue to evolve by integrating external disciplines and data types.
- Future research will likely blend "big data" analytics with foundational formal techniques.
- Demography provides essential foundational knowledge for broader social science research.
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