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  1. Susan Athey is The Economics of Technology Professor at Stanford Graduate School of Business and a leading expert on digitization, marketplace design, and machine learning. She has won numerous awards, served as chief economist for Microsoft and the U.S. Department of Justice, and published many journal articles on various topics.

  2. Susan Carleton Athey (Boston, 29 de noviembre de 1970) es una economista estadounidense. Es profesora de economía de la tecnología en la Stanford Graduate School of Business . [ 1 ] Antes de unirse a Stanford, era profesora en la Universidad de Harvard .

  3. Susan Athey. The Economics of Technology Professor, Stanford University Graduate School of Business. Verified email at stanford.edu - Homepage. ... S Athey, M Bayati, N Doudchenko, G Imbens, K Khosravi. Journal of the American Statistical Association 116 (536), 1716-1730, 2021. 656: 2021:

  4. en.wikipedia.org › wiki › Susan_AtheySusan Athey - Wikipedia

    Susan Carleton Athey (born November 1970 (age 53)) is an American economist. She is the Economics of Technology Professor in the School of Humanities and Sciences at the Stanford Graduate School of Business.

  5. Susan Athey is a leading economist who studies the economics of technology, social sector organizations, and social impact. She is the founding director of the Golub Capital Social Impact Lab and the American Economic Association, and a senior fellow at Stanford Institute for Economic Policy Research and Stanford Graduate School of Business.

  6. Learn about the life and research of Susan Athey, a leading economist and tech entrepreneur who teaches at Stanford Graduate School of Business and is the 2023 President of the American Economics Association. She has a Ph.D. from Stanford, an honorary doctorate from Duke, and an election to the National Academy of Science.

  7. gsb-faculty.stanford.edu › susan-athey › researchResearch - Susan Athey

    14 de feb. de 2018 · Research - Susan Athey. See an overview of my research interests. My papers are organized by topic to make them easier to find. There is some duplication/cross-listing. For a chronological list of my articles look at my cv. Topics. Health. Econometric Theory and Machine Learning. Social Impact.