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Climate Change through the Lens of Macroeconomic Modeling

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  • Jesús Fernández-Villaverde
  • Kenneth Gillingham
  • Simon Scheidegger

Abstract

There is a rapidly advancing literature on the macroeconomics of climate change. This review focuses on developments in the construction and solution of structural integrated assessment models (IAMs), highlighting the marriage of state-of-the-art natural science with general equilibrium theory. We discuss challenges in solving dynamic stochastic IAMs with sharp nonlinearities, multiple regions, and multiple sources of risk. Key innovations in deep learning and other machine learning approaches overcome many computational challenges and enhance the accuracy and relevance of policy findings. We conclude with an overview of recent applications of IAMs and key policy insights.

Suggested Citation

  • Jesús Fernández-Villaverde & Kenneth Gillingham & Simon Scheidegger, 2024. "Climate Change through the Lens of Macroeconomic Modeling," NBER Working Papers 32963, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:32963
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    1. Simon Dietz & Frederick van der Ploeg & Armon Rezai & Frank Venmans, 2021. "Are Economists Getting Climate Dynamics Right and Does It Matter?," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 8(5), pages 895-921.
    2. Mahdi Ebrahimi Kahou & Jesús Fernández-Villaverde & Sebastián Gómez-Cardona & Jesse Perla & Jan Rosa, 2024. "Spooky Boundaries at a Distance: Inductive Bias, Dynamic Models, and Behavioral Macro," CESifo Working Paper Series 11292, CESifo.
    3. Robert S. Pindyck, 2013. "Climate Change Policy: What Do the Models Tell Us?," Journal of Economic Literature, American Economic Association, vol. 51(3), pages 860-872, September.
    4. Florian Egli & Bjarne Steffen & Tobias S. Schmidt, 2018. "A dynamic analysis of financing conditions for renewable energy technologies," Nature Energy, Nature, vol. 3(12), pages 1084-1092, December.
    5. Nordhaus, William D & Yang, Zili, 1996. "A Regional Dynamic General-Equilibrium Model of Alternative Climate-Change Strategies," American Economic Review, American Economic Association, vol. 86(4), pages 741-765, September.
    6. Christian Traeger, 2014. "A 4-Stated DICE: Quantitatively Addressing Uncertainty Effects in Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(1), pages 1-37, September.
    7. William D. Nordhaus & David Popp, 1997. "What is the Value of Scientific Knowledge? An Application to Global Warming Using the PRICE Model," The Energy Journal, , vol. 18(1), pages 1-45, January.
    8. Chris Hope, 2013. "Critical issues for the calculation of the social cost of CO 2 : why the estimates from PAGE09 are higher than those from PAGE2002," Climatic Change, Springer, vol. 117(3), pages 531-543, April.
    9. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, April.
    10. William D. Nordhaus & David Popp, 1997. "What is the Value of Scientific Knowledge? An Application to Global Warming Using the PRICE Model," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-45.
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    More about this item

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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