Homepage
Siem Jan Koopman

Home Research Other activities VU Econometrics

VU University Amsterdam Tinbergen Institute STAMP SsfPack Econometric Links

Siem Jan Koopman 2013
VU University Amsterdam
Tinbergen Institute

8th Meeting of the Netherlands Econometrics Study Group
Saturday, 15 June 2013

News

Recent working papers

Recent publications

Selected presentations

Some conferences in 2013

Contact details

Siem Jan Koopman

Department of Econometrics, FEWEB
VU University Amsterdam.
Tinbergen Institute


Address: VU Amsterdam -- FEWEB, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands
Office: Main VU building, first floor, Room 1A-38
Telephone:+31 20 598 60 19
Fax:+31 20 598 60 20
E-mail: s.j.koopman [at] vu.nl
Homepage: http://personal.vu.nl/s.j.koopman/
Secretary: Hedda Werkman (+31 20 598 6010)

Short CV

SJK is Professor of Econometrics at the Vrije Universiteit Amsterdam and research fellow at the Tinbergen Institute, both since 1999. He is currently also a Visiting Researcher at the European Central Bank, Financial Research.

He held positions at the London School of Economics between 1992 and 1997 and at the CentER (Tilburg University) between 1997 and 1999. In 2002 he visited the US Bureau of the Census in Washington DC as an ASA / NSF / US Census / BLS Research Fellow. Further he was a Fernand Braudel Senior Fellow at the Department of Economics, European University Institute, Florence, Italy, in 2010. His Ph.D. is from the LSE and dates back to 1992.

The monograph Time Series Analysis by State Space Methods, is written by J. Durbin and SJK. The book originally appeared in 2001. The Second Edition is recently published by Oxford University Press, in May 2012. The Durbin & Koopman 2012 book consists of 368 pages.

The research interests of SJK are statistical analysis of time series, financial econometrics, simulation-based estimation, Kalman filter, economic forecasting and other topics in time series econometrics.

He fullfills editorial duties at the Journal of Applied Econometrics and the Journal of Forecasting. Finally he is an OxMetrics software developer and is actively engaged in the development of the time series software packages STAMP and SsfPack.