Accelerated research about generative AI
Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
Faculty
Nathan Wilmers is the Sarofim Family Career Development Associate Professor and an Associate Professor of Work and Organization Studies at the MIT Sloan School of Management. He is in the core faculty of the Institute for Work and Employment Research and affiliated with the Economic Sociology program. For the most up-to-date information on his research, please see his personal website at www.nathanwilmers.com.
Wilmers researches wage and earnings inequality, economic sociology, and the sociology of labor. In his empirical research, he studies how wage stagnation and rising earnings inequality result from weakening labor market institutions, changing market power, and job restructuring. More broadly, he is interested in bringing insights from economic sociology to the study of labor markets and the wage structure. His research has been published in Administrative Science Quarterly, American Economic Journal: Applied Economics, American Sociological Review, American Journal of Sociology, ILR Review, Journal of Labor Economics, PNAS, and Social Forces.
Wilmers holds a BA in philosophy from the University of Chicago and an MA and PhD in sociology from Harvard University.
Dylan Nelson, Nathan Wilmers, and Letian Zhang (W.E. Upjohn Institute for Employment Research). Kalamazoo, MI: August 2024.
Engzell, Per and Nathan Wilmers, MIT Sloan Working Paper 6945-21. Cambridge, MA: MIT Sloan School of Management, April 2024.
Wilmers, Nathan, Working Paper. March 2024.
Nelson, Dylan, Nathan Wilmers, and Letian Zhang, Working Paper. March 2024. Download Upjohn Institute Working Paper 24-397.
Massenkoff, Maxim and Nathan Wilmers. Journal of Labor Economics Vol. 42, No. 1 (2024): 1-51.
Kelly, Erin L., Hazhir Rahmandad, Nathan Wilmers, and Aishwara Yadama. ILR Review Vol. 76, No. 5 (2023): 792-832.
Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
Research from MIT Sloan finds that casual chain restaurants like Applebee’s and Chili’s are the best places to meet and socialize with people from different income classes.
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