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

Impact of RFS design on E85-E10 price disparity

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.

Data

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