Thomas Lontzek

Person

Prof. Dr. sc. pol.

Thomas Lontzek

Universitätsprofessor
Chair of Computational Economics

Address

Building: 1050

Room: 513

Templergraben 64

52056 Aachen

Contact

WorkPhone
Phone: +49 241 80-96203
Fax Fax: +49 241 80-693931
 

Profile

From 1999 to 2003, Thomas S. Lontzek studied Economics at the University of Maastricht and the University of California, San Diego. Subsequently, he worked as a research economist at the University of Kiel and at the Kiel Institute for the World Economy. In 2009 he received his doctoral degree in Economics from the University of Kiel. From 2010 to 2016, Thomas Lontzek was a post-doc research associate with the University of Zürich and in 2012 he was a visiting scholar at Stanford University's Hoover Institution. Since October 2016, he has been Professor of Economics at RWTH Aachen University. Thomas Lontzek's research focuses on numerical methods and their application in Economics.

Research Interests

  • Economic Growth
  • Quantitative Macroeconomics
  • Resource and Energy Economics
  • Computational Economics
  • Climate Risk Management
  • Decision Making under Uncertainty

Selected Publications and Recent Work

“Its earlier versions include Hoover economic working paper 18113, arXiv:1504.06909, NBER working paper 18704 (“The social cost of stochastic and irreversible climate change”), RDCEP working paper 12-02 (“DSICE: A dynamic stochastic integrated model of climate and economy”), and RDCEP working paper 12-03 (“Tipping points in a dynamic stochastic IAM”), all of which were written with Kenneth L. Judd”

  • Cai, Y.; Lenton, T.M.; Lontzek, T.S. (2016): Risk of multiple climate tipping points should trigger a rapid reduction in CO2 emissions. Nature Climate Change. https://doi.org/10.1038/nclimate2964
  • Lontzek, T; Narita, D.; Wilms, O. (2016): Stochastic integrated assessment of ecosystem tipping risk. Environmental and Resource Economics. 10.1007/s10640-016-0054-y
  • Cai, Y.; Judd, K.L.; Lontzek, T.S.; Michelangeli, V.; Su, C.-L. (2016): A nonlinear programming method for dynamic programming. In: Macroeconomic Dynamics. https://doi.org/10.1017/S1365100515000528
  • Lontzek, T.S.; Cai, Y.; Judd, K.L.; Lenton, T.M. (2015): Stochastic integrated assessment of climate tipping points indicates the need for strict climate policy. In: Nature Climate Change. https://doi.org/10.1038/nclimate2570
  • Cai, Y.; Judd, K.L.; Lenton, T.M.; Lontzek, T.S.; Narita, D. (2015): Environmental tipping points significantly affect cost-benefit assessment of climate policies. In: PNAS. https://doi.org/10.1073/pnas.1503890112