未来能源研究所-异质动态随机模型中社会贴现率路径的统计性质(英)
Statistical Properties of Social Discount Rate Paths in a Heterogeneous Dynamic Stochastic ModelJohnson Kakeu, Eun-jin Kim and Rainer HollerbachWorking Paper 25-13 May 2025About the Authors Johnson Kakeu is an associate professor of economics at the University of Prince Edward Island (UPEI). Before joining UPEI, he taught at the Georgia Institute of Technology and Morehouse College in the United States. Kakeu was a Gilbert F. White Fellow at Resources for the Future (RFF) and holds a PhD in Economics from the Université de Montréal (Canada), along with a Master’s in Statistics and Economics and a Master’s in Applied Mathematics and Mechanics. Prior to his academic career, he gained experience in financial institutions, serving as a Statistician-Economist at the Ministry of Finance in Cameroon and completing an internship at the Central Bank of West African States.Eun-jin Kim is a professor at Coventry University’s Fluid and Complex Systems Research Centre, specializing in complexity, self-organisation, and non-equilibrium processes. Her work spans both theoretical development and practical applications. On the theoretical side, she develops non-equilibrium statistical frameworks—drawing on tools such as probability density functions, path integrals, stochastic differential equations, and fractional calculus—with a focus on a novel geometric and information-theoretic approach to unify diverse non-equilibrium phenomena. On the applied side, her research addresses turbulence, mixing, transport, and magnetic activity in both laboratory and astrophysical plasmas, including studies of magnetohydrodynamic turbulence, fusion plasma confinement, and solar magnetic field dynamics.Rainer Hollerbach is a professor at University of Leeds’s Department of Applied Mathematics. His areas of expertise include magnetohydrodynamics, dynamo theory, and hydrodynamic stability theory. His work involves high-resolution numerical modelling of magneto-thermal evolution in neutron star crusts and cores.Acknowledgements We acknowledge the Leverhulme Trust Research Fellowship (RF-2018-142-9). We appreciate the helpful comments from the seminar participants at the Stanford Institute for Theoretical Economics (SITE) Workshop, Resources for the Future, the Atlantic Economic Conference in Nova Scotia, the Canadian Economic Association Conference in Ottawa, the University of Prince Edward Island, and the Canadian Resource and Environmental Economics Association Annual Conference in Vancouver. We particularly thank RFFs communications team and research staff for their feedback. Part of this work was conducted during my tenure as a Gilbert F. White Fellow at RFF. All remaining errors are our own.About RFFResources for the Future (RFF) is an independent, nonprofit research institution in Washington, DC. Its mission is to improve environmental, energy, and natural resource decisions through impartial economic research and policy engagement. RFF is committed to being the most widely t
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