Wisconsin National Data Consortium

The New York Independent Sustem Operator (NYISO) has developed a corbon-pricing proposal to reduce carbon intensive electricity generation in anticipation of future clean energy goals in the state. The proposed measure is a so-called "carbon adder" on CO₂ emissions from the power sector that targets the social cost of carbon amidst existing overlapping policies. The carbon adder is set as the difference between the targeted social cost of carbon and the prevailing Regional Greenhouse Gas Initiative (RGGI) price for CO₂ emission allowances. This paper investigates the economic and environmental impacts of the imposition of a carbon adder on New York's power sector. The analysis is based on the WiNDC energy-environment dataset (bluenote).

This paper introduces the Wisconsin National Data Consortium (WiNDC) framework for producing self-consistent accounts based on publicly available datasets that can be used in sub-national economic equilibrium analysis in the United States. The authors describe the process used to generate regional social accounting matrices and a caibrated static multi-regional, multi-sectoral computable general equilibrium model conformal with the constructed dataset. As illustration, they show how the core model can be applied for the analysis of energy-environment issues. They use an energy-economy extension of the core model to assess the effectiveness of several state level greenhouse gas mitigation proposals. Different underlying trade models lead to a variation in leakage rates. The calculations demonstrate the importance of both data and modeling assumptions for the simulation of policy experiments.

This paper won the prestigious Bruce Gardner Memorial Prize for Applied Policy Analysis Award. It was the first to utilize the detailed WiNDC accounts in an analysis.

This analysis discerns the near-term impacts of the 2018 tariffs on the state of Iowa, based on historical trade patterns, revenue linkages, and the recent futures market price changes. Two distinct modeling techniques are used: a partial-quilibrium model and a general equilibrium model. The partial-quilibrium model does not take into account linkages among the markets and industries across Iowa. It looks specifically at the corn, soybean, ethanol, and hog markets along with labor and government revenue impacts from changes in these markets. The general equilibrium model examines the trade disruptions across 20 industries in Iowa while taking into account that some industries benefit from tariffs and others do not. The data for the consistent social accounts that are the starting point for the model are extracted from the WiNDC system.