Theis Lange

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Born: 22nd of February 1978

Education:

2008
Ph.D. Mathematical Statistics, University of Copenhagen (Thesis: “Asymptotic Theory in Financial Time Series Models with Conditional Heteroscedasticity”).

2005

M.Sc. Mathematics and Economics, University of Copenhagen (Thesis: “Likelihood Based Inference in the AR-ARCH Model”). 

2004

M.Sc. Econometrics and Mathematical Economics with Distinction at London School of Economics (Thesis: “Consumption, Aggregated Wealth, and Expected Stock Returns in the UK”). 

2002
Bachelor (B.Sc.), Mathematics and Economics, University of Copenhagen (Thesis: “Modeling the Real Exchange Rate Using Threshold Autoregressive Models”).

Employment

2021 - present
Head of Dep of Public Health, University of Copenhagen

2021 - present 
Professor of Biostatistics, Dep of Public Health, University of Copenhagen

2009 - 2021
Assistant Professor at the Section of Biostatistics, University of Copenhagen.

2008 – 09
Post.doc at the Department of Economics, University of Copenhagen. 

2008 – 09
Post.doc. at Center for Research in Econometric Analysis of Time Series (CREATES), University of Aarhus. 

2006 – 09
Part time consultant for an upstart IT company, which provides business consulting.

2005 – 08
Ph.D. student at the University of Copenhagen. Main research interest multivariate volatility modeling.

2004
Research Assistant at the consultancy firm London Economics.

Review activity

Biometrics, Journal of Business and Economic Statistics, Journal of Econometrics, Oxford Bulletin of Economics and Statistics, Scandinavian Journal of Statistics, Statistica Sinica, Statistics in Medicine, Stochastic Processes and their Applications, The Manchester School. The R Journal

Langue Skills
Danish (native), English (fluent).

Computer Experience (selected references only)
Office (advanced user).
Programming experience with C++, Ox, and R.
The statistical packages SPSS, SAS, R, GiveWin, and PcGive.

Langue Skills

                        Danish (native).

                        English (fluent).

Computer Experience (selected references only)

                        Office (advanced user).

                        Programming experience with C++, Ox, and R.

                        The statistical packages SPSS, SAS, R, GiveWin, and PcGive.