Whitney K. Newey

Whitney Kent Newey (born July 17, 1954) is the Jane Berkowitz Carlton and Dennis William Carlton Professor of Economics at the Massachusetts Institute of Technology and a well-known econometrician. He is best known for developing, with Kenneth D. West, the Newey–West estimator, which robustly estimates the covariance matrix of a regression model when errors are heteroskedastic and autocorrelated.

Whitney K. Newey
Born (1954-07-17) July 17, 1954
United States
InstitutionMIT
FieldEconometrics
Alma materMIT (Ph.D.)
BYU (B.A.)
Doctoral
advisor		Jerry A. Hausman[1]
Doctoral
students		Yacine Ait-Sahalia[2]
Alberto Abadie[3]
Susanne Schennach[4]
ContributionsNewey–West estimator
Information at IDEAS / RePEc

Education and academic career

Newey received his B.A. from Brigham Young University in 1978, and his Ph.D. from the Massachusetts Institute of Technology in 1983, under supervision of Jerry A. Hausman. From 1983 to 1988, Newey taught at Princeton University as an Assistant Professor. He was then promoted to Associate Professor and taught there for another two year from 1988 to 1990. It is also during these two years, he became a Member of Technical Staff, Bell Communications Research. [5] During his time in Princeton University, he published many papers on econometrics. [6] After 7 years in Princeton, he returned to Massachusetts Institute of Technology as a Professor in the department of Economics in 1990 and has been in the department of Economics since then. From 2011 to 2016, he was also the chair of Economics.

References
  1. Specification testing and estimation using a generalized method of moments
  2. Nonparametric functional estimation with applications to financial models
  3. Abadie, Alberto (1999). Semiparametric Instrumental Variable Methods for Causal Response Model (PDF) (Ph.D.). MIT. Retrieved 10 March 2017.
  4. https://www.genealogy.math.ndsu.nodak.edu/id.php?id=199960
  5. http://economics.mit.edu/faculty/wnewey/cv
  6. "NO".

Publications
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