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GC Affiliation

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Affiliated Scholar

  • Is Income Inequality on the Rise Everywhere?

    F. Alvaredo, F. Bourguignon, F. H. G. Ferreira, C. Lakner, and N. Lustig. Stone Center Working Paper Series no. 131. 2026.

  • Stone Center Senior Scholars and Postdocs Present Research at World Inequality Conference

    Stone Center Senior Scholars, Affiliated Scholars, and Postdoctoral Scholars presented their research at the World Inequality Conference at the Paris School of Economics in June.

  • Human Capital, Unequal Opportunities, and Productivity Convergence: A Global Historical Perspective, 1800–2100

    N. Bharti et al. Journal of Public Economics. vol. 255. 2026.

  • Economic Inequality and Social Mobility in Preindustrial Societies: What We Know, What We Don’t (But Should) Know

    G. Alfani. Stone Center Working Paper Series no. 126. 2026.

  • Class Background Matters for Career Progression — in Academia and Beyond

    Stone Center Affiliated Scholar Anna Stansbury of MIT's Sloan School of Management and Kyra Rodriguez of UC Berkeley's Haas School of Business discuss their Stone Center working paper: “The Class Gap in Career Progression: Evidence from U.S. Academia."

  • The Class Gap in Career Progression: Evidence from U.S. Academia

    A. Stansbury and K. Rodriguez. Stone Center Working Paper Series no. 123. 2026.

  • Global Estimates of Opportunity and Mobility: A Database

    F. H. G. Ferreira, V. Peragine, P. Brunori, P. Salas-Rojo, D. Moramarco, L. Barajas, T. Barbieri, N. Daza-Báez, G. Datt, V. de Sandi, F. Farella, A. Martinez, Jr., J. Nguyen, A. Park, E. Simeone, L. Sirugue, P. Torres López, and G. Zotti. Stone Center Working Paper Series. no. 120. 2026.

  • The “Missing Rich” in Household Surveys: Causes and Correction Approaches (Extended Version with Technical Appendixes)

    N. Lustig and A. Vigorito. Stone Center Working Paper Series no. 119. 2025.

  • Inherited Inequality in Latin America

    F. H. G. Ferreira, P. Brunori, G. Neidhöfer, P. Salas-Rojo, and L. Sirugue. Stone Center Working Paper Series no. 117. 2025.

  • Who’s Afraid of AI? Maximilian Kasy Discusses His New Book, The Means of Prediction

    Affiliated Scholar Maximilian Kasy discusses his new book, The Means of Prediction: How AI Really Works (and Who Benefits), which offers a convincing argument for democratic control over AI’s objectives.

12···1314Next

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GC Affiliation

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