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Solving optimal timing problems in environmental economics

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Author Info

  • Balikcioglu, Metin
  • Fackler, Paul L.
  • Pindyck, Robert S.

Abstract

Two papers of (Pindyck, 2000) and (Pindyck, 2002) that modeled the control of stock pollutants as optimal stopping problems contained closed form solutions that are incorrect. This paper discusses a subtle error in the derivation and demonstrates how solutions to these and related problems can be obtained numerically. The numerical solutions are contrasted with the ones contained in Pindyck's original papers.

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File URL: http://www.sciencedirect.com/science/article/pii/S0928765511000078
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Bibliographic Info

Article provided by Elsevier in its journal Resource and Energy Economics.

Volume (Year): 33 (2011)
Issue (Month): 3 (September)
Pages: 761-768

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Handle: RePEc:eee:resene:v:33:y:2011:i:3:p:761-768

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Web page: http://www.elsevier.com/locate/inca/505569

Related research

Keywords: Environmental policy Uncertainty Optimal stopping Irreveribilities Climate change;

References

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  1. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, January.
  2. Pindyck, Robert S., 1998. "Irreversibilities and the timing of environmental policy," Working papers WP 4047-98., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  3. Conrad, Jon M., 2000. "Wilderness: options to preserve, extract, or develop," Resource and Energy Economics, Elsevier, vol. 22(3), pages 205-219, July.
  4. Pindyck, Robert S., 2002. "Optimal timing problems in environmental economics," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1677-1697, August.
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Citations

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Cited by:
  1. Niko Jaakkola, 2013. "Green Technologies and the Protracted End to the Age of Oil: A strategic analysis," OxCarre Working Papers 099, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
  2. Dumortier, Jerome, 2012. "Welfare changes associated with forest carbon offset credits in the United States," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124632, Agricultural and Applied Economics Association.
  3. Framstad, Nils Chr. & Strand, Jon, 2013. "Energy Intensive Infrastructure Investments with Retrofits in Continuous Time: Effects of Uncertainty on Energy Use and Carbon Emissions," Memorandum 11/2013, Oslo University, Department of Economics.
  4. Agliardi, Elettra & Sereno, Luigi, 2012. "Environmental protection, public finance requirements and the timing of emission reductions," Environment and Development Economics, Cambridge University Press, vol. 17(06), pages 715-739, December.
  5. Sims, Charles & Finnoff, David, 2013. "When is a “wait and see” approach to invasive species justified?," Resource and Energy Economics, Elsevier, vol. 35(3), pages 235-255.
  6. Eryilmaz, Derya & Homans, Frances, 2013. "Uncertainty in Renewable Energy Policy: How do Renewable Energy Credit markets and Production Tax Credits affect decisions to invest in renewable energy?," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150018, Agricultural and Applied Economics Association.
  7. Mosiño, Alejandro, 2012. "Producing energy in a stochastic environment: Switching from non-renewable to renewable resources," Resource and Energy Economics, Elsevier, vol. 34(4), pages 413-430.
  8. Tsur, Yacov & Zemel, Amos, 2012. "Dynamic and stochastic analysis of environmental and natural resources," Discussion Papers 120017, Hebrew University of Jerusalem, Department of Agricultural Economics and Management.
  9. Elettra Agliardi & Luigi Sereno, 2013. "On the Optimal Timing of Switching from non-Renewable to Renewable Resources: Dirty vs Clean Energy Sources and the Relative Efficiency of Generators," Working Paper Series 11_13, The Rimini Centre for Economic Analysis.
  10. Framstad, Nils Chr., 2013. "When can environmental profile and emissions reductions be optimized independently of the pollutant level?," Memorandum 12/2013, Oslo University, Department of Economics.

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