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.
In many of his research projects, Professor Bianchi exploits historical public policies to address economic questions that, although currently relevant, would be hard to tackle with only modern data.
Labor Economics, Economics of Education, Economic History, Innovation, Public Economics.
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.