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.
- Economic Growth
- Quantitative Macroeconomics
- Resource and Energy Economics
- Computational Economics
- Climate Risk Management
- Decision Making under Uncertainty
Selected Publications and Recent Work
- Miftakhova, A; Judd, K.L.; Lontzek, T.S.; Schmedders, K.: Statistical approximation of high-dimensional climate models. Journal of Econometrics, forthcoming.
- Cai, Y.; Lontzek, T.S.: The social cost of carbon with economic and climate risks. Journal of Political Economy, forthcoming.
- 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.
- 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