Integrated Assessment Models (IAMs) are mainstay tools for assessing the long-term interactions between climate and the economy and for deriving optimal policy responses in the form of carbon prices. IAMs have been criticized for controversial discount rate assumptions, arbitrary climate damage functions, and the inadequate handling of potentially catastrophic climate outcomes. We review these external shortcomings for prominent IAMs before turning our focus on an internal modeling fallacy: the widespread misapplication of the Constant Elasticity of Substitution (CES) function for the technology transitions modeled by IAMs. Applying CES, an economic modeling approach, on technical factor inputs over long periods where an entire factor (the greenhouse gas emitting fossil fuel inputs) must be substituted creates artifacts that fail to match the S-curve patterns observed historically. A policy critical result, the monotonically increasing cost of carbon, a universal feature of IAMs, is called into question by showing that it is unrealistic as it is an artifact of the modeling approach and not representative of the technical substitutability potential nor of the expected cost of the technologies. We demonstrate this first through a simple but representative example of CES application on the energy system and with a sectoral discussion of the actual fossil substitution costs. We propose a methodological modification using dynamically varying elasticity of substitution as a plausible alternative to model the energy transition in line with the historical observations and technical realities within the existing modeling systems. Nevertheless, a fundamentally different approach based on physical energy principles would be more appropriate.
Lead-lag cross-sectional structure and detection of correlated-anticorrelated regime shifts: Application to the volatilities of inflation and economic growth rates
European Commission (DG Joint Research Centre)（欧盟委员会（联合研究中心））；Economics and Econometrics Research Institute (EERI)（经济与计量经济学研究所）；Catholic University of Leuven (LICOS)（鲁汶天主教大学）；Slovak University of Agriculture in Nitra (SUA)（尼特拉斯洛伐克农业大学）
Lagrange statistics in systems (markets) with price constraints: Analysis of property, car sales, marriage and job markets by the Boltzmann function and the Pareto distribution
