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  1. Guido Imbens is a Nobel laureate and a leading expert in causal inference methods. He teaches and publishes on econometrics, statistics, and experimental design at Stanford Graduate School of Business.

  2. Guido Wilhelmus Imbens (* 3. September 1963 in Geldrop) ist ein niederländisch - amerikanischer Wirtschaftswissenschaftler und Hochschullehrer. [1] 2021 wurde er zusammen mit David Card und Joshua Angrist mit dem Alfred-Nobel-Gedächtnispreis für Wirtschaftswissenschaften ausgezeichnet.

  3. en.wikipedia.org › wiki › Guido_ImbensGuido Imbens - Wikipedia

    Guido Wilhelmus Imbens (born 3 September 1963) is a Dutch-American economist whose research concerns econometrics and statistics. He holds the Applied Econometrics Professorship in Economics at the Stanford Graduate School of Business at Stanford University, where he has taught since 2012.

  4. Efficient estimation of average treatment effects using the estimated propensity score. K Hirano, GW Imbens, G Ridder. Econometrica 71 (4), 1161-1189. , 2003. 3277. 2003. Optimal bandwidth choice for the regression discontinuity estimator. G Imbens, K Kalyanaraman. The Review of economic studies 79 (3), 933-959.

  5. Guido Imbens is a renowned econometrician and statistician who works on causal inference in observational studies. He is a professor at Stanford GSB, a fellow of the Econometric Society and the American Academy of Arts and Sciences, and a Nobel Prize winner in 2021.

  6. Guido W. Imbens Biographical Introduction. I n 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.

  7. 11. Okt. 2021 · 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.