Solving Infinite Horizon Growth Models with an Environmental Sector
AbstractThis paper concerns computational models in environmental economics and policy, particularly so-called integrated assessment models. For the most part, such models are simply extensions of standard neoclassical growth models, extended by including the environment and pollution generation. We review the structure of integrated assessment models, distinguishing between finite horizon and infinite horizon models, both deterministic and stochastic. We present a new solution algorithm for infinite horizon integrated assessment models, relying on a neural net approximation of the value function within an iterative version of the Bellman equation. Copyright 2001 by Kluwer Academic Publishers
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 InfoArticle provided by Society for Computational Economics in its journal Computational Economics.
Volume (Year): 18 (2001)
Issue (Month): 2 (October)
Other versions of this item:
- Kelly, David L. & Kolstad, Charles D., 1999. "Solving Infinite Horizon Growth Models with an Environmental Sector," University of California at Santa Barbara, Economics Working Paper Series qt3hd4c4v3, Department of Economics, UC Santa Barbara.
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.:
- Grossman, Gene M & Krueger, Alan B, 1995.
"Economic Growth and the Environment,"
The Quarterly Journal of Economics,
MIT Press, vol. 110(2), pages 353-77, May.
- Manne, Alan & Mendelsohn, Robert & Richels, Richard, 1995. "MERGE : A model for evaluating regional and global effects of GHG reduction policies," Energy Policy, Elsevier, vol. 23(1), pages 17-34, January.
- Alan Manne & Richard Richels, 1992. "Buying Greenhouse Insurance: The Economic Costs of CO2 Emission Limits," MIT Press Books, The MIT Press, edition 1, volume 1, number 026213280x, January.
- Stephen C Peck & Thomas J. Teisberg, 1992. "CETA: A Model for Carbon Emissions Trajectory Assessment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 55-78.
- repec:fth:calaec:32-98 is not listed on IDEAS
- Gary D. Hansen & Thomas J. Sargent, 1987.
"Straight Time and Overtime in Equilibrium,"
UCLA Economics Working Papers
455, UCLA Department of Economics.
- Kydland, Finn E & Prescott, Edward C, 1982.
"Time to Build and Aggregate Fluctuations,"
Econometric Society, vol. 50(6), pages 1345-70, November.
- Finn E. Kydland & Edward C. Prescott, 1982. "Web interface for "Time to Build and Aggregate Fluctuations"," QM&RBC Codes 4a, Quantitative Macroeconomics & Real Business Cycles.
- Finn E. Kydland & Edward C. Prescott, 1982. "Executable program for "Time to Build and Aggregate Fluctuations"," QM&RBC Codes 4, Quantitative Macroeconomics & Real Business Cycles.
- Kelly, David L. & Kolstad, Charles D., 1999. "Bayesian learning, growth, and pollution," Journal of Economic Dynamics and Control, Elsevier, vol. 23(4), pages 491-518, February.
- Christiano, Lawrence J, 1987.
"Is Consumption Insufficiently Sensitive to Innovations in Income?,"
American Economic Review,
American Economic Association, vol. 77(2), pages 337-41, May.
- Lawrence J. Christiano, 1987. "Is consumption insufficiently sensitive to innovations in income?," Staff Report 106, Federal Reserve Bank of Minneapolis.
- Peck, Stephen C. & Teisberg, Thomas J., 1993. "Global warming uncertainties and the value of information: an analysis using CETA," Resource and Energy Economics, Elsevier, vol. 15(1), pages 71-97, March.
- den Haan, Wouter J & Marcet, Albert, 1990.
"Solving the Stochastic Growth Model by Parameterizing Expectations,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 8(1), pages 31-34, January.
- Wouter Denhaan & Albert Marcet, 1990. "FORTRAN code for Simulation Parameterized Expecations Algorithm," QM&RBC Codes 57, Quantitative Macroeconomics & Real Business Cycles.
- Kolstad, Charles D., 1996. "Learning and Stock Effects in Environmental Regulation: The Case of Greenhouse Gas Emissions," Journal of Environmental Economics and Management, Elsevier, vol. 31(1), pages 1-18, July.
- Gary Hansen, 2010.
"Indivisible Labor and the Business Cycle,"
Levine's Working Paper Archive
233, David K. Levine.
- Christiano, Lawrence J., 1988. "Why does inventory investment fluctuate so much?," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 247-280.
- Richard S. J. Tol & In Chang Hwang & Frédéric Reynès, 2012.
"The Effect of Learning on Climate Policy under Fat-tailed Uncertainty,"
Working Paper Series
5312, Department of Economics, University of Sussex.
- Hwang, In Chang & Reynes, Frederic & Tol, Richard, 2014. "The effect of learning on climate policy under fat-tailed uncertainty," MPRA Paper 53681, University Library of Munich, Germany.
- Lemoine, Derek M. & Traeger, Christian P., 2011.
"Tipping points and ambiguity in the economics of climate change,"
Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series
qt9nd591ww, Department of Agricultural & Resource Economics, UC Berkeley.
- Lemoine, Derek M. & Traeger, Christian P., 2010. "Tipping points and ambiguity in the economics of climate change," CUDARE Working Paper Series 1111R, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy, revised Dec 2011.
- Derek M. Lemoine & Christian P. Traeger, 2012. "Tipping Points and Ambiguity in the Economics of Climate Change," NBER Working Papers 18230, National Bureau of Economic Research, Inc.
- Leach, Andrew J., 2007.
"The climate change learning curve,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 31(5), pages 1728-1752, May.
- Traeger, Christian, 2012. "A 4-stated DICE: quantitatively addressing uncertainty effects in climate change," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6jx2p7fv, Department of Agricultural & Resource Economics, UC Berkeley.
- Traeger, Christian, 2013. "A 4-stated DICE: quantitatively addressing uncertainty effects in climate change," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9034k05t, Department of Agricultural & Resource Economics, UC Berkeley.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn) or (Christopher F. Baum).
If references are entirely missing, you can add them using this form.