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IZA Discussion Paper No. 17994
July 2025
Built, Not Born: How Education Predicts Billionaire Wealth

This study investigates the key drivers behind the wealth accumulation of America’s 100 richest self-made billionaires, using data from the Forbes 400 list. Focusing on five individual and contextual factors—education, innovation, networks, inheritance, and geographic origins—the research applies regression analysis to evaluate the statistical significance and predictive power of each. The results show that education, especially from elite institutions, is a strong and consistent predictor of wealth. Innovation, measured by patents and entrepreneurial activity, shows the strongest correlation, emphasizing its centrality in modern wealth creation. Networks—both personal and professional—also play a crucial role, though they interact with other variables. In contrast, inheritance and geographic origins, while influential, exhibit weaker statistical associations. Notably, 89% of the cohort received little or no family funding, underscoring the importance of individual agency and external investment. The findings challenge assumptions about inherited wealth and highlight the role of human capital, innovation ecosystems, and urban opportunity structures in financial success.

Kommunikation
Mark Fallak
mark.fallak@liser.lu
+352 585-855-526
World of Labour
Olga Nottmeyer
olga.nottmeyer@liser.lu
+352 585-855-501
Netzwerkkoordination
Christina Gathmann
christina.gathmann@liser.lu

Das IZA@LISER-Netzwerk ist eine weltweite Gemeinschaft für exzellente Forschung in der Arbeitsmarktökonomie und angrenzenden Fachgebieten. Nach dem Wechsel von Bonn wird das Netzwerk nun am Luxembourg Institute of Socio-Economic Research (LISER) koordiniert.

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