RTI uses cookies to offer you the best experience online. By clicking “accept” on this website, you opt in and you agree to the use of cookies. If you would like to know more about how RTI uses cookies and how to manage them please view our Privacy Policy here. You can “opt out” or change your mind by visiting: http://optout.aboutads.info/. Click “accept” to agree.
Linking global CGE models with sectoral models to generate baseline scenarios
Approaches, Challenges, and Opportunities
Delzeit, R., Beach, R., Bibas, R., Britz, W., Chateau, J., Freund, F., Lefevre, J., Schuenemann, F., Sulser, T., Valin, H., Van Ruijven, B., Weitzel, M., Willenbockel, D., & Wojtowicz, K. (2020). Linking global CGE models with sectoral models to generate baseline scenarios: Approaches, Challenges, and Opportunities. Journal of Global Economic Analysis, 5(1), 162-195. https://doi.org/10.21642/JGEA.050105AF
When modeling medium and long-term challenges we need a reference path of economic development (the so-called baseline). Because sectoral models often offer a more fundamental understanding of future developments for specific sectors, many CGE modeling teams have adopted approaches for linking their models to sectoral models to generate baselines. Linked models include agricultural sector, energy sector, biophysical and macroeconomic models. We systematically compare and discuss approaches of linking CGE models to sectoral models for the baseline calibration procedure and discuss challenges and best practices. We identify different types of linking approaches which we divide into a) one-way, and b) two-way linking. These two types of linking approaches are then analyzed with respect to the degree of consistency of the linkage, information exchanged, as well as compromises in aggregations and definitions. Based on our assessment, we discuss challenges and conclude with suggestions for best practices and research recommendations.
RTI shares its evidence-based research - through peer-reviewed publications and media - to ensure that it is accessible for others to build on, in line with our mission and scientific standards.