The Repository @ St. Cloud State

Open Access Knowledge and Scholarship

Date of Award

5-2026

Culminating Project Type

Thesis

Styleguide

apa

Degree Name

Applied Economics: M.S.

Department

Economics

College

School of Public Affairs

First Advisor

Kenneth Rebeck

Second Advisor

King Banaian

Third Advisor

Mana Komai-Molle

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Keywords and Subject Headings

workforce aging; population aging; economic productivity; human capital; panel data

Abstract

This study examines the relationship between workforce aging and economic productivity across U.S. states.  Using a panel dataset covering 50 U.S. states from 2000 to 2020, this study analyzes whether an increasing share of older workers affects economic productivity and whether policy-related factors such as education and health spending influence this relationship.

The empirical analysis employs a two-way fixed effects panel regression model. The results indicate that workforce aging is negatively associated with GDP per worker, suggesting that a higher proportion of older workers may place downward pressure on economic productivity. The youth dependency ratio and employment participation rate show positive and statistically significant relationships with productivity. The interaction analysis further indicates that higher levels of educational attainment help mitigate the negative effects of workforce aging, while health spending does not show a significant moderating effect.

Overall, the findings suggest that while demographic aging may pose challenges for productivity, policies that support human capital development and labor force participation can help economies adapt to demographic change.

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