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Investment, uncertainty, and production games

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  • FLÅM, S. D.
  • ERMOLIEV, Y. M.

Abstract

This paper explores a few cooperative aspects of investments in uncertain, real options. By hypothesis some production commitments, factors, or quotas are transferable. Cases in point include energy supply, emission of pollutants, and harvest of renewable resources. Of particular interest are technologies or projects that provide anti-correlated returns. Any such project stabilizes the aggregate proceeds. Therefore, given widespread risk aversion, a project of this sort merits a bonus. The setting is formalized as a two-stage, stochastic, production game. Absent economies of scale, such games are quite tractable in analysis, computation, and realization. A core imputation comes in terms of shadow prices that equilibrate competitive, endogenous markets. Such prices emerge as optimal dual solutions to coordinated production programs, featuring pooled commitments, or resources. Alternatively, the prices could result from repeated exchange.

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Bibliographic Info

Article provided by Cambridge University Press in its journal Environment and Development Economics.

Volume (Year): 14 (2009)
Issue (Month): 01 (February)
Pages: 51-66

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Handle: RePEc:cup:endeec:v:14:y:2009:i:01:p:51-66_00

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  1. Ermoliev, Yu. & Keyzer, M. A. & Norkin, V., 2000. "Global convergence of the stochastic tatonnement process," Journal of Mathematical Economics, Elsevier, vol. 34(2), pages 173-190, October.
  2. Henry, Claude, 1974. "Investment Decisions Under Uncertainty: The "Irreversibility Effect."," American Economic Review, American Economic Association, vol. 64(6), pages 1006-12, December.
  3. Y. Ermoliev & M. Michalevich & A. Nentjes, 2000. "Markets for Tradeable Emission and Ambient Permits: A Dynamic Approach," Environmental & Resource Economics, European Association of Environmental and Resource Economists, European Association of Environmental and Resource Economists, vol. 15(1), pages 39-56, January.
  4. Evstigneev, I.V. & Flam, S.D., 2000. "Sharing Nonconvex Costs," Norway; Department of Economics, University of Bergen, Department of Economics, University of Bergen 1300, Department of Economics, University of Bergen.
  5. Kolstad, Charles D. & Guzman, Rolando M., 1999. "Information and the Divergence between Willingness to Accept and Willingness to Pay," Journal of Environmental Economics and Management, Elsevier, vol. 38(1), pages 66-80, July.
  6. Magill, Michael & Shafer, Wayne, 1991. "Incomplete markets," Handbook of Mathematical Economics, Elsevier, in: W. Hildenbrand & H. Sonnenschein (ed.), Handbook of Mathematical Economics, edition 1, volume 4, chapter 30, pages 1523-1614 Elsevier.
  7. Arrow, Kenneth J & Lind, Robert C, 1970. "Uncertainty and the Evaluation of Public Investment Decisions," American Economic Review, American Economic Association, vol. 60(3), pages 364-78, June.
  8. Dixit, Avinash & Pindyck, Robert S & Sodal, Sigbjorn, 1999. "A Markup Interpretation of Optimal Investment Rules," Economic Journal, Royal Economic Society, Royal Economic Society, vol. 109(455), pages 179-89, April.
  9. Evstigneev, I.V. & Flam, S.D., 2000. "Stochastic Programming: Non-Anticipativity and Lagrange Multipliers," Norway; Department of Economics, University of Bergen, Department of Economics, University of Bergen 1100, Department of Economics, University of Bergen.
  10. Shapley, Lloyd S. & Shubik, Martin, 1969. "On market games," Journal of Economic Theory, Elsevier, vol. 1(1), pages 9-25, June.
  11. Ermoliev, Yuri & Klaassen, Ger & Nentjes, Andries, 1996. "Adaptive Cost-Effective Ambient Charges under Incomplete Information," Journal of Environmental Economics and Management, Elsevier, vol. 31(1), pages 37-48, July.
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Cited by:
  1. Didrik Flåm, Sjur, 2012. "Coupled projects, core imputations, and the CAPM," Journal of Mathematical Economics, Elsevier, vol. 48(3), pages 170-176.

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