Forecasting the Path of USS CO2 Emissions Using State-Level Information
AbstractIn this paper 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 CO2 emissions we test the performance of existing models against a large universe of potential reduced form models. Our preferred measure of model performance is the squared out-of-sample prediction error of aggregate CO2 emissions. 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. Unlike the existing literature, the tests of model superiority employed here account for model search or ‘data snooping’ involved in identifying a preferred model. Forecasts from our best performing model for the United States are 100 million tons of carbon lower than existing scenarios predict.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Australian National University, College of Business and Economics, School of Economics in its series ANU Working Papers in Economics and Econometrics with number 2010-526.
Length: 37 Pages
Date of creation: Aug 2010
Date of revision:
Other versions of this item:
- Maximilian Auffhammer & Ralf Steinhauser, 2012. "Forecasting The Path of U.S. CO_2 Emissions Using State-Level Information," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 172-185, February.
- Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-10-02 (All new papers)
- NEP-ENE-2010-10-02 (Energy Economics)
- NEP-ENV-2010-10-02 (Environmental Economics)
- NEP-FOR-2010-10-02 (Forecasting)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Holtz-Eakin, Douglas & Selden, Thomas M., 1995.
"Stoking the fires? CO2 emissions and economic growth,"
Journal of Public Economics,
Elsevier, vol. 57(1), pages 85-101, May.
- Douglas Holtz-Eakin & Thomas M. Selden, 1992. "Stoking the Fires? Co2 Emissions and Economic Growth," NBER Working Papers 4248, National Bureau of Economic Research, Inc.
- Christoph Jeßberger, 2011. "Multilateral Environmental Agreements up to 2050: Are They Sustainable Enough?," Ifo Working Paper Series Ifo Working Paper No. 98, Ifo Institute for Economic Research at the University of Munich.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If references are entirely missing, you can add them using this form.