Assessing the Efficiency Implications of Renewable Fuel Policy Design in the United States

 

CABBI Theme: 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.

 

Impact of the Renewable Fuel Standard design on E85-E10 price disparity.

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.

 
Data

Code, Input Data, and Results

 

Related Publication

Zhong, J.Khanna M. Aug. 23, 2022. “Assessing the Efficiency Implications of Renewable Fuel Policy Design in the United States.” Journal of the Agricultural and Applied Economics Association. DOI: 10.1002/jaa2.23.