Nicola Bianchi
Nicola Bianchi is an Associate Professor of Strategy at the Kellogg School of Management, Northwestern University. He is also a Research Associate at the National Bureau of Economic Research (NBER), a Research Fellow at the Rockwool Foundation Berlin, and a member of CEPR’s Research Policy Network on the Economics of Longevity and Ageing. Prior to Kellogg, he earned a Ph.D. in Economics from Stanford University.
Professor Bianchi’s research sits at the intersection of labor economics, the economics of education, and economic history. His work studies how organizations and public policies shape careers and long-run outcomes. His research has been published in leading economics journals, including the Review of Economic Studies, the Journal of Political Economy, the Economic Journal, and the Journal of Labor Economics.
- Labor Economics
- Economics of Education
- Economic History
- Innovation
- Public Economics.
- Data Analytics
- Business Analytics
- People Analytics
- Public Policy.
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Ph.D., 2015, Economics, Stanford University
M.S., 2008, Economics, Universita Bocconi, Summa Cum Laude
B.A., 2006, Business Administration, Universita Bocconi, Summa Cum Laude -
Associate Professor, Strategy, Kellogg School of Management, Northwestern University, 2025-present
Assistant Professor, Strategy, Kellogg School of Management, Northwestern University, 2015-2025 -
Research Associate, National Bureau of Economic Research, 2025-present
Member of the Research Policy Network on the Economics of Longevity and Ageing, Centre for Economic Policy Research (CEPR), 2024-present
Research Fellow, RFBerlin, Rockwool Foundation, 2025-present
Faculty Associate, Institute for Policy Research, 2015-present
Faculty Research Fellow, National Bureau of Economic Research, 2017-2025 -
Chairs Core Teaching Award, Kellogg School of Management
"Ezio Tarantelli" Award for best paper presented at the Italian Association of Labor Economics Annual Conference, AIEL
Chairs Core Teaching Award, Kellogg School of Management
SEED Grant, California Center for Population Research
Chairs Core Teaching Award, Kellogg School of Management, Fall
Kellogg Faculty Impact Award, DECS-431
Arthur H. Cole Grant, Economic History Association
Personnel Economics (MECS-571-0)
This PhD-level course covers empirical topics in Personnel Economics, the branch of labor economics that studies labor markets inside firms. The course examines how firms hire, screen, pay, evaluate, promote, manage, organize, and retain workers, and how these choices affect productivity, inequality, careers, and worker welfare. As such, the course naturally complements both the labor-economics sequence offered by the Department of Economics and the organizational-economics sequence offered by the MECS program (MECS 570-1 and MECS 570-2): it complements the former by bringing within-firm evidence to core labor questions, and the latter by emphasizing empirical evidence and research design. Meetings will combine lectures on the foundational topics in the field with in-class discussions of recent papers, with the goal of helping students develop their own research ideas.
Public Economics for Business Leaders: Federal Policy (PACT-470-0)
To be an effective business leader in today's complex world requires an understanding of the important public policy issues facing society. Managers need to understand society's problems and the range of possible public solutions and policies in order to know how to influence, incorporate and respond to public actions. This class will enable students to understand, analyze and take the perspective of government and non-government organizations as they attempt to alleviate societal problems. Topics include the interface of government and business, the justification for and principle methods of government intervention in the market place, the primary means of paying for government, measuring the costs and benefits of government policies, and current policy applications such as social security reform, education policy, health insurance and tax reform.
Business Analytics II (DECS-431-0)
This sequel to DECS-430 extends the statistical techniques learned in that course to allow for the exploration of relationships between variables, primarily through multivariate regression. In addition to learning basic regression skills, including modeling and estimation, students will deepen their understanding of hypothesis testing and how to make inferences and predictions from data. Students will also learn new principles such as identification and robustness. The course has an intense focus on managerial relevant applications, cases and interpretations.
