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Tests For The Role Of Risk Aversion On Input Use

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  • Roosen, Jutta
  • Hennessy, David A.

Abstract

Agricultural inputs can create negative externalities. For risk averting agents, risk will 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 paper, conditions are identified on a stochastic technology to test that risk averters choose smaller input levels than risk neutral agents, and that an increase in risk aversion reduces input use. A robust statistical method (Klecan, McFadden, and McFadden) to test for dominance is adapted to stochastic production relations. It is found that the first hypothesis is likely true for nitrogen application on Iowa corn. Weaker evidence is found in favor of the second hypothesis.

Suggested Citation

  • Roosen, Jutta & Hennessy, David A., 2001. "Tests For The Role Of Risk Aversion On Input Use," 2001 Annual meeting, August 5-8, Chicago, IL 20498, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea01:20498
    DOI: 10.22004/ag.econ.20498
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    1. Atanu Saha & C. Richard Shumway & Hovav Talpaz, 1994. "Joint Estimation of Risk Preference Structure and Technology Using Expo-Power Utility," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(2), pages 173-184.
    2. 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.
    3. Bharat Ramaswami, 1992. "Production Risk and Optimal Input Decisions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 860-869.
    4. 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.
    5. Esfandiar Maasoumi & Almas Heshmati, 2000. "Stochastic dominance amongst swedish income distributions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 287-320.
    6. 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.
    7. Valentino Dardanoni & Antonio Forcina, 1999. "Inference for Lorenz curve orderings," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 49-75.
    8. Anderson, Gordon, 1996. "Nonparametric Tests of Stochastic Dominance in Income Distributions," Econometrica, Econometric Society, vol. 64(5), pages 1183-1193, September.
    9. Bruce A. Babcock & David A. Hennessy, 1996. "Input Demand under Yield and Revenue Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 416-427.
    10. Rothschild, Michael & Stiglitz, Joseph E., 1970. "Increasing risk: I. A definition," Journal of Economic Theory, Elsevier, vol. 2(3), pages 225-243, September.
    11. 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.
    12. 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.
    13. Russell Davidson & Jean-Yves Duclos, 2000. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
    14. Richard E. Just & Rulon D. Pope, 1979. "Production Function Estimation and Related Risk Considerations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(2), pages 276-284.
    15. Carl H. Nelson & Paul V. Preckel, 1989. "The Conditional Beta Distribution as a Stochastic Production Function," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 370-378.
    16. Gollier, Christian & Pratt, John W, 1996. "Risk Vulnerability and the Tempering Effect of Background Risk," Econometrica, Econometric Society, vol. 64(5), pages 1109-1123, September.
    17. H. Dennis Tolley & Rulon D. Pope, 1988. "Testing for Stochastic Dominance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 693-700.
    18. 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(5), pages 849-866, December.
    19. 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.
    20. 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.
    21. 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 329-335, May.
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    Keywords

    Farm Management; Risk and Uncertainty;

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