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Guido Wilhelmus Imbens (Geldrop, 3 de septiembre de 1963) es un economista neerlandés-estadounidense. En 2021, recibió el Premio Nobel de Ciencias Económicas «por sus contribuciones metodológicas al análisis de las relaciones causales», junto con Joshua Angrist y David Card, quienes recibieron la otra mitad del galardón. [1]
- doctorado
Bio. Guido Imbens is The Applied Econometrics Professor and Professor of Economics at Stanford Graduate School of Business. After graduating from Brown University Guido taught at Harvard University, UCLA, and UC Berkeley. He joined Stanford GSB in 2012. Imbens specializes in econometrics, and in particular methods for drawing causal inferences.
Guido W. Imbens. Facts. © Nobel Prize Outreach. Photo: Stefan Bladh. Guido W. Imbens The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel 2021. Born: 3 September 1963, Geldrop, the Netherlands. Affiliation at the time of the award: Stanford University, Stanford, CA, USA.
11 de oct. de 2021 · Stanford economist Guido Imbens wins Nobel in economic sciences. Stanford economist Guido W. Imbens was awarded the Nobel Sveriges Riksbank Prize in Economic Sciences today for his work in econometrics and statistics. Image credit: Andrew Brodhead. This story was updated on Monday, Oct. 11, at 5:11 p.m. PST.
11 de oct. de 2021 · Stanford economist Guido W. Imbens was awarded the Nobel Sveriges Riksbank Prize in Economic Sciences today for his work in econometrics and statistics. By Melissa De Witte and Ker Than. This story was updated on Monday, Oct. 11, at 12:52 p.m. PST.
His research focuses on developing methods for drawing causal inferences in observational studies, using matching, instrumental variables, and regression discontinuity designs. Guido Imbens is Professor of Economics at the Stanford Graduate School of Business.
Introduction. In this biographical sketch I will discuss part of my personal and academic journey, how I originally got interested in econometrics, and how I continued in this area as it changed from a field where causal inference was almost non-existent to one where causality is now explicitly a major part.
