Guido Imbens

Guido Wilhelmus Imbens (born September 3, 1963) is a Dutch-American economist. He is Professor of Economics at the Stanford Graduate School of Business since 2012. After earning his Ph.D. from Brown University in 1991, he taught at Harvard University, UCLA, and UC Berkeley. Imbens specializes in econometrics, and in particular methods for drawing causal inference.

Guido W. Imbens
Born (1963-09-03) September 3, 1963
NationalityDutch American
Spouse(s)Susan Athey
InstitutionStanford University
FieldEconometrics
Alma mater
Doctoral
advisor		Anthony Lancaster
Doctoral
students		Rajeev Dehejia
Information at IDEAS / RePEc

Imbens is a fellow of the Econometric Society (2001) and the American Academy of Arts and Sciences (2009).[1][2][3] Imbens was elected a foreign member of the Royal Netherlands Academy of Arts and Sciences in 2017.[4][5] He was elected as a Fellow of the American Statistical Association in 2020.[6]

Imbens has been married to economist Susan Athey since 2002.[7]

Bibliography
  • Imbens, Guido W.; Rubin, Donald B. (6 April 2015). Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction. Cambridge University Press. ISBN 9780521885881.

References
  1. http://www.gsb.stanford.edu/sites/gsb/files/faculty-cv/guido_0.pdf
  2. "Econometric Society Fellows, October 2016". Econometric Society. Retrieved 14 May 2017.
  3. "List of active members by class" (PDF). American Academy of Arts and Sciences. 27 October 2016. Retrieved 14 May 2017.
  4. "KNAW kiest 26 nieuwe leden" (in Dutch). Royal Netherlands Academy of Arts and Sciences. 10 May 2017. Retrieved 14 May 2017.
  5. "Guido Imbens". Royal Netherlands Academy of Arts and Sciences. Archived from the original on 14 May 2017.
  6. "ASA Fellows list". American Statistical Association. Retrieved 2020-06-01.
  7. Simison, Bob (June 2019). "Economist as Engineer". Finance & Development. International Monetary Fund. 56 (2). Retrieved 23 December 2020.


This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.