Alvaro Sandroni is the E.D. Howard Professor in Political Economy at the Kellogg School of Management, Northwestern University, where he has taught since 1996. He received his PhD in economics in 1996 from the University of Pennsylvania, his PhD in mathematics in 1994 from the Instituto de Matematica Pura e Aplicada (Brazil) and his B.Sc. in mathematics in 1986 from the Pontifica Universidade Catolica economics (Brazil). Sandroni has also taught at the University of Pennsylvania and the University of Rochester.
Sandroni has received grants from the Institute of Aging, the Bi-National Science Foundation, the Bergmann Memorial Research as well as four National Science Foundation grants for behavioral science research. He served as a panelist for the National Science Foundation and was invited Fellow at the Center for Advanced Study in Behavioral Sciences. He has also received the 2003 Stanley Reiter Best Paper Award, the University of Pennsylvania’s William Polk Carey Prize in Economics for Best Ph. D. Dissertation and the Hiram C. Haney Fellowship Award in Economics at the University of Pennsylvania.
Sandroni is on the editorial boards of Economic Theory and the International Journal of Game Theory. He is also a fellow of the Economic Theory Society.
Sandroni’s research is in the areas of behavioral sciences, strategic forecasting, economic theory, game theory, philosophy, political science, and law. He has published numerous journal articles in economics, political science, philosophy, law, statistics and game theory journals, including the American Political Science Review, American Economic Review, Econometrica, Annals of Statistics, Review of Economic Studies, The Journal of Legal Studies, Mathematics of Operations Research, Theoretical Economics, International Journal of Game Theory, Philosophy of Science, Quarterly Journal of Political Science, Criminal Law and Philosophy, Journal of the European Economic Association, American Economic Journal: Microeconomics, Economic Theory, Mathematics of Operational Research, Mathematics fo Social Science, Journal of Economic Behavior and Organization, Synthese, Games and Economic Behavior, and Journal of Economic Theory.
Sandroni is the author (along with Peter Klibanoff, Boaz Moselle and Brett Saraniti) of Managerial Statistics: A Case-Based Approach (2005, Cengage Learning). He has also published his work in the Proceedings of the National Academy of Sciences.
Behavioral Science; Strategic Forecasting; Political Science; Economic Theory; Game Theory; Law and Philosophy.
This core course is equivalent to the course DECS-440 (MMM 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.