Tests for the Role of Risk Aversion on Input Use
For risk-averting agents, risks alter production decisions while the existence of institutions to insure against adverse states of nature will likely restore decisions toward levels under risk neutrality. In this article, conditions are identified on a stochastic technology to test H rn 0,≤ : that risk averters choose smaller input levels than risk neutral agents, and H ra 0,≤ : that an increase in risk aversion reduces input use. A robust statistical method to test for dominance is adapted to stochastic production relations. It is found that H rn 0,≤ is likely true for nitrogen application on Iowa corn. Weaker evidence is found in favor of H ra 0,≤ . Copyright 2003, Oxford University Press.
If 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 85 (2003)
Issue (Month): 1 ()
|Contact details of provider:|| Postal: |
Phone: (414) 918-3190
Fax: (414) 276-3349
Web page: http://www.aaea.org/
More information through EDIRC
References listed on IDEAS
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.:
- Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
- Anderson, Gordon, 1996. "Nonparametric Tests of Stochastic Dominance in Income Distributions," Econometrica, Econometric Society, vol. 64(5), pages 1183-93, September.
- Michael Landsberger & Isaac Meilijson, 1994. "The Generating Process and an Extension of Jewitt's Location Independent Risk Concept," Management Science, INFORMS, vol. 40(5), pages 662-669, May.
- Valentino Dardanoni & Antonio Forcina, 1999. "Inference for Lorenz curve orderings," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 49-75.
- Russell Davidson & Jean-Yves Duclos, 2000.
"Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality,"
Econometric Society, vol. 68(6), pages 1435-1464, November.
- Davidson, Russell & Duclos, Jean-Yves, 1998. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Cahiers de recherche 9805, Université Laval - Département d'économique.
- Davidson, R. & Duclos, J.-Y., 1998. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," G.R.E.Q.A.M. 98a14, Universite Aix-Marseille III.
- Chavas, Jean-Paul & Holt, Matthew T, 1996. "Economic Behavior under Uncertainty: A Joint Analysis of Risk Preferences and Technology," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 329-35, May.
- Melinda Smale & Jason Hartell & Paul W. Heisey & Ben Senauer, 1998. "The Contribution of Genetic Resources and Diversity to Wheat Production in the Punjab of Pakistan," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 482-493.
- Heshmati, Almas & Maasoumi, Esfandiar, 1998.
"Stochastic Dominance Amongst Swedish Income Distributions,"
SSE/EFI Working Paper Series in Economics and Finance
279, Stockholm School of Economics.
- Esfandiar Maasoumi & Almas Heshmati, 2000. "Stochastic dominance amongst swedish income distributions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 287-320.
- Kaur, Amarjot & Prakasa Rao, B.L.S. & Singh, Harshinder, 1994. "Testing for Second-Order Stochastic Dominance of Two Distributions," Econometric Theory, Cambridge University Press, vol. 10(05), pages 849-866, December.
- Rothschild, Michael & Stiglitz, Joseph E., 1970. "Increasing risk: I. A definition," Journal of Economic Theory, Elsevier, vol. 2(3), pages 225-243, September.
- Robert G. Chambers & John Quiggin, 2002. "The State-Contingent Properties of Stochastic Production Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 513-526.
- Chambers, Robert G. & Quiggin, John, 1996. "Non-point-source pollution regulation as a multi-task principal-agent problem," Journal of Public Economics, Elsevier, vol. 59(1), pages 95-116, January.
- Babcock, Bruce A. & Hennessy, David A., 1996.
"Input Demand Under Yield and Revenue Insurance,"
Staff General Research Papers
794, Iowa State University, Department of Economics.
- Bruce A. Babcock & Joseph A. Herriges, 1994. "Input Demand Under Yield and Revenue Insurance," Center for Agricultural and Rural Development (CARD) Publications 94-wp127, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- Gollier, Christian & Pratt, John W, 1996. "Risk Vulnerability and the Tempering Effect of Background Risk," Econometrica, Econometric Society, vol. 64(5), pages 1109-23, September.
- Ian Jewitt, 1989. "Choosing Between Risky Prospects: The Characterization of Comparative Statics Results, and Location Independent Risk," Management Science, INFORMS, vol. 35(1), pages 60-70, January.
- Quiggin, John & Chambers, Robert G., 1998. "A state-contingent production approach to principal-agent problems with an application to point-source pollution control," Journal of Public Economics, Elsevier, vol. 70(3), pages 441-472, December.
When requesting a correction, please mention this item's handle: RePEc:oup:ajagec:v:85:y:2003:i:1:p:30-43. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Oxford University Press)or (Christopher F. Baum)
If references are entirely missing, you can add them using this form.