Denis Sargan

J. Denis Sargan
Born (1924-08-23)23 August 1924
Doncaster, Yorkshire
Died 13 April 1996(1996-04-13) (aged 71)
Theydon Bois, Essex
Nationality British
Institution London School of Economics
Field Econometrics
Alma mater University of Cambridge
Influences William Phillips, James Durbin
Influenced Alok Bhargava, David Forbes Hendry, Esfandiar Maasoumi, Peter C.B. Phillips, Manuel Arellano

John Denis Sargan (23 August 1924 – 13 April 1996) was a British econometrician who specialized in the analysis of economic time-series. Sargan made many contributions, notably in instrumental variables estimation, Edgeworth expansions for the distributions of econometric estimators, identification conditions in simultaneous equations models, asymptotic tests for overidentifying restrictions in homoskedastic equations and exact tests for unit roots in autoregressive and moving average models (co-authored with Alok Bhargava). At the LSE, Sargan was Professor of Econometrics from 1964–84.[1] Sargan was President of the Econometric Society, a Fellow of the British Academy[2] and an (honorary foreign) member of the American Academy of Arts and Sciences.[1][3]

Sargan is known for having been doctoral advisor to several renowned econometricians. These include Alok Bhargava, David Forbes Hendry, Esfandiar Maasoumi, Peter C.B. Phillips, and Manuel Arellano. His influence on econometric methodology is evident in several fields including in the development of Generalized Method of Moments estimators.

Selected publications

Published posthumously

References

  1. 1 2 http://www.independent.co.uk/news/people/obituary--professor-denis-sargan-1305657.html Obituary: Professor Denis Sargan Friday, 19 April 1996
  2. Hendry, David; Phillips, Peter (2003). "John Denis Sargan 1924-1996". Proceedings of the British Academy. Biographical Memoirs of Fellows II 120: 385–409. doi:10.5871/bacad/9780197263020.003.0019.
  3. Phillips, P. C. (2003). "Vision and influence in econometrics: John Denis Sargan". Econometric Theory 19 (3): 495–512. doi:10.1017/S0266466603193085.

External links


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