Roger Koenker

Roger William Koenker (born February 21, 1947) is an American econometrician and is mostly known for his contributions to quantile regression.[1] He is currently a Honorary Professor of Economics at University College London.[2]

Roger W. Koenker
Born (1947-02-21) February 21, 1947
NationalityAmerican
Alma materUniversity of Michigan
Grinnell College
Scientific career
FieldsEconometrics
InstitutionsUniversity College London
Doctoral advisorSaul Hymans

He finished his degree at Grinnell College in 1969 and obtained his Ph. D. in Economics from the University of Michigan in 1974. In the same year, he was employed as an assistant professor at UIUC. By 1976, he left the university to work as part of the technical staff at Bell Telephone Laboratories.[3] He came back to UIUC in 1983 to teach as a William B. McKinley Professor of Economics and Statistics before becoming a Honorary Professor of Economics at UCL in 2018.

Works

Koenker is best known for his work on quantile regression and the regression analysis tool he developed is widely used across many disciplines.[3] In 2010, he was awarded the Emanuel and Carol Parzen Prize for Statistical Innovation for his contribution to the field and for "pioneering and expositing quantile regression."[4] Aside from his seminal book, Quantile Regression, his published works include The Gaussian Hare and the Laplacian Tortoise: Computability of Squared-Error vs. Absolute Error Estimators; and, Galton, Edgeworth, Frisch, and Prospects for Quantile Regression in Economics, among others.

gollark: *cannot tell if meant ironically*
gollark: ···
gollark: There are more important things than economic growth.
gollark: Um. That would be worse.
gollark: authoritarian government BAD

References
  1. Roger Koenker (9 May 2005). Quantile Regression. Cambridge University Press. ISBN 978-0-521-60827-5.
  2. "Roger Koenker CV" (PDF).
  3. He, Xuming (2016-06-23). "A Conversation with Roger Koenker". International Statistical Review. 85 (1): 46–60. doi:10.1111/insr.12183. ISSN 0306-7734.
  4. "2010 Parzen Prize for Statistical Innovation" (PDF). Texas A&M University. March 24, 2010. Retrieved August 22, 2018.


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