1. Extending Macroeconomic Impacts Forecasting for NEMS
- Author
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Court, Christa D., Jackson, Randall W., Steele, Amanda J. Harker, Pickenpaugh, Gavin, Jarosi, Peter, Adder, Justin, and Zelek, Charles
- Subjects
United States. Department of Energy -- Powers and duties ,United States. Energy Information Administration -- Powers and duties ,United States. Environmental Protection Agency -- Powers and duties ,Econometric models -- Forecasts and trends ,Energy industry -- Industry forecasts ,Economic forecasting ,Market trend/market analysis ,Business ,Economics ,Petroleum, energy and mining industries - Abstract
To comprehensively model the macroeconomic impacts that result from changes in long-term energy-economy forecasts, the United States (U.S.) Department of Energy's National Energy Technology Laboratory (NETL) partnered with West Virginia University (WVU)'s Regional Research Institute to develop the NETL/WVU econometric input-output (ECIO) model. The NETL/WVU ECIO model is an impacts forecasting model that functions as an extension of the U.S. energy-economic models available from the U.S. Energy Information Administration's National Energy Modeling System (NEMS) and the U.S. Environmental Protection Agency's Market Allocation (MARKAL) model. The ECIO model integrates a macroeconomic econometric forecasting model and an input-output accounting framework along derived forecast scenarios detailing a baseline of the U.S. energy-economy and an alternative forecast on how power generation resources can meet future levels of energy demand to generate estimates of the impacts to gross domestic product, employment, and labor income. This manuscript provides an overview of the model design, assumptions, and standard outputs. Keywords: Energy-Economy Forecasting, National Energy Modeling System, Input-Output Model, Econometric Model, 1. INTRODUCTION Decision makers involved in energy policy are facing unprecedented challenges arising from globalization, decarbonization, and the advent of new energy technologies. Since the early 1970s energy-economic forecasting models [...]
- Published
- 2022
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