Forecasting The Path of U.S. CO_2 Emissions Using State-Level Information

Maximilian Auffhammer and Ralf Steinhauser ()
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Maximilian Auffhammer: University of California, Berkeley and NBER

The Review of Economics and Statistics, 2012, vol. 94, issue 1, pages 172-185

Abstract: We compare the most common reduced-form models used for emissions forecasting, point out shortcomings, and suggest improvements. Using a U.S. state-level panel data set of CO_2 emissions, we test the performance of existing models against a large universe of potential reduced-form models. We find that leading models in the literature, as well as models selected based on an emissions per capita loss measure or different in-sample selection criteria, perform significantly worse compared to the best model chosen based directly on the out-of-sample loss measure defined over aggregate emissions. © 2011 The President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Date: 2012
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Working Paper: Forecasting the Path of USS CO2 Emissions Using State-Level Information (2010)
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