Demographic Influences on Economic Outcomes

Summary

Demographic dynamics exert profound effects on economic trajectories by shaping labour supply, consumption patterns and public finances. Variations in fertility and mortality alter the age structure of populations, influencing dependency ratios and the relative size of working cohorts. Ageing societies in advanced economies face rising pension and healthcare costs, labour shortages and pressure to boost productivity through automation and skills development. Conversely, regions with youthful populations may benefit from a demographic dividend but require substantial investment in education and job creation to avert high youth unemployment. Migration flows redistribute human capital across borders, alleviating labour scarcity in receiving countries but potentially straining social services and infrastructure. Urbanisation trends reshape economic geography by concentrating labour and fostering innovation, while rural depopulation can undermine local markets. Longitudinal changes in cohort size affect housing demand, savings rates and asset prices, with smaller cohorts often experiencing better labour market entry conditions yet diminished aggregate consumption. A comprehensive understanding of these interlinked processes is essential for policy­makers seeking to balance economic growth, social welfare and fiscal sustainability on a global scale.

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Demographic Influences on Economic Outcomes publication trend

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Technical terms

Total fertility rate (TFR): The average number of children a woman would bear over her reproductive lifetime at current age-specific fertility rates.

Age dependency ratio: The ratio of individuals typically considered dependent (youth and elderly) to those of working age, indicating the burden on the productive population.

Cohort: A group of individuals who share a common temporal characteristic, often the year of birth, used to track demographic and economic outcomes.

ARIMA model: A statistical framework for analysing and forecasting time-series data by accounting for autoregression, integration and moving average components.

References

  1. Do small labor market entry cohorts reduce unemployment?. Demographic Research (2013).
  2. Model Analysis on the Birth Rate in China. Advances in Economics Management and Political Sciences (2023).
  3. Regression Analysis of Collinear Data using r-k Class Estimator: Socio-Economic and Demographic Factors Affecting the Total Fertility Rate (TFR) in India. Journal of Data Science (2021).
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