Nicola Bianchi received his PhD in Economics from Stanford University in 2015.  He is currently an Assistant Professor in the Department of Strategy and a faculty research fellow at the NBER. Professor Bianchi's interests include labor economics, the economics of education, economic history, and innovation.

Labor Economics, Economics of Education, Economic History, Innovation, Public Economics.

• 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

• Assistant Professor, Strategy, Kellogg School of Management

• Faculty Research Fellow, National Bureau of Economic Research, 2017-present
• Faculty Associate, Institute for Policy Research, 2015-present

• "Ezio Tarantelli" Award for best paper presented at the Italian Association of Labor Economics Annual Conference, AIEL
• Kellogg Chairs' Core Course Teaching Award
• SEED Grant, California Center for Population Research
• Kellogg Chairs' Core Course Teaching Award, Fall
• Kellogg Faculty Impact Award, DECS-431
• Arthur H. Cole Grant, Economic History Association

Data Analytics, Business Analytics.

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.