Assessing the Efficiency Implications of Renewable Fuel Policy Design in the United States
Themes: Sustainability
Keywords: Economics, Modeling, Software
Citation
Zhong, J., Khanna, M. Sept. 16, 2022. Model Code and Data for “Assessing the Efficiency Implications of Renewable Fuel Policy Design in the United States.” University of Illinois Urbana-Champaign. DOI: 10.13012/B2IDB-6803176_V1.
Overview
This dataset contains model code (including input data) to replicate the outcomes for a published study titled “Assessing the Efficiency Implications of Renewable Fuel Policy Design in the United States.” The information consists of (1) the replication codes and (1) data for the model. To run the model, use GAMS to run the “Models.gms” file.