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Decomposing Input Adjustments under Price and Production Uncertainty

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  • Robert G. Chambers
  • John Quiggin

Abstract

A decomposition of input adjustments for stochastic technologies is developed and applied to the case of actuarially fair production insurance. The decomposition consists of a pure-risk effect and an expansion effect which are analogous to the Hicks-Allen decomposition familiar from consumer theory. Copyright 2001, Oxford University Press.

Suggested Citation

  • Robert G. Chambers & John Quiggin, 2001. "Decomposing Input Adjustments under Price and Production Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 20-34.
    • Handle: RePEc:oup:ajagec:v:83:y:2001:i:1:p:20-34
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    File URL: http://hdl.handle.net/10.1111/0002-9092.00134
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    Cited by:

    1. Hurley, Terrance M., 2016. "Slutsky, Let Me Introduce You to Arrow-Pratt: Competitive Price Effects with Uncertain Production," Staff Papers 250204, University of Minnesota, Department of Applied Economics.
    2. Smith, Katherine R., 2004. "The Growing Prevalence of Emergency, Disaster, and Other Ad Hoc Farm Program Payments: Implications for Agri-Environmental and Conservation Programs," Agricultural and Resource Economics Review, Cambridge University Press, vol. 33(1), pages 1-7, April.
    3. Coleman, Jane A. & Shaik, Saleem, 2009. "Time-Varying Estimation of Crop Insurance Program in Altering North Dakota Farm Economic Structure," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49516, Agricultural and Applied Economics Association.
    4. Kusadokoro, Motoi, 2010. "Risk Aversion and Optimal Input Utilization under State Contingent Technology," Japanese Journal of Agricultural Economics (formerly Japanese Journal of Rural Economics), Agricultural Economics Society of Japan (AESJ), vol. 12, pages 1-13.
    5. Kaitibie, Simeon & Nganje, William E. & Brorsen, B. Wade & Epplin, Francis M., 2003. "Optimal Grazing Pressure Under Output Price And Production Uncertainty With Alternative Functional Forms," 2003 Annual meeting, July 27-30, Montreal, Canada 22020, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Svend Rasmussen, 2003. "Criteria for optimal production under uncertainty. The state‐contingent approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(4), pages 447-476, December.
    7. Bulut, Harun & Collins, Keith J., 2013. "Political Economy of Crop Insurance Risk Subsidies under Imperfect Information," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150577, Agricultural and Applied Economics Association.
    8. Jaenicke, Edward C. & Larson, James A., 2001. "Production Risk Revisited In A Stochastic Frontier Framework: Evaluating Noise And Inefficiency In Cover Crop Systems," 2001 Annual meeting, August 5-8, Chicago, IL 20477, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Vercammen, James & Gulati, Sumeet & Anda, Mario, 2004. "Government Taxation Schemes to Reduce Fertilizer Runoff," Annual Meeting, 2004, June 20-23, Halifax, Nova Scotia 34195, Canadian Agricultural Economics Society.
    10. Coyle, Barry T. & Wei, Ran & Rude, James, 2008. "Dynamic Econometric Models of Manitoba Crop Production and Hypothetical Production Impacts for CAIS," Working Papers 46630, Canadian Agricultural Trade Policy Research Network.
    11. Carter, Michael R. & Galarza, Francisco B. & Boucher, Steve, 2007. "Underwriting Area-based Yield Insurance to Crowd- in Credit Supply Demand," Working Papers 190918, University of California, Davis, Department of Agricultural and Resource Economics.
    12. Möhring, Niklas & Dalhaus, Tobias & Enjolras, Geoffroy & Finger, Robert, 2020. "Crop insurance and pesticide use in European agriculture," Agricultural Systems, Elsevier, vol. 184(C).
    13. Moawia, Alghalith, 2009. "Theory of the firm under multiple uncertainties," MPRA Paper 19320, University Library of Munich, Germany.
    14. Daniel C. Voica & Troy G. Schmitz, 2022. "Trading risk for ambiguity: Production versus health under pesticide application," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1327-1342, August.
    15. Heidelbach, Olaf, 2007. "Efficiency of selected risk management instruments: An empirical analysis of risk reduction in Kazakhstani crop production," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 40, number 92323, September.
    16. Voica, Daniel C. & Schmitz, Troy G., 2020. "Trading Risk for Ambiguity: Consumption versus Health under Pesticide Application," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304409, Agricultural and Applied Economics Association.
    17. Yugang Ding & Cheng Sun, 2022. "Does agricultural insurance promote primary industry production? Evidence from a quasi-experiment in China," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(2), pages 434-459, April.

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