IDEAS home Printed from https://ideas.repec.org/p/ags/ucdavw/225691.html
   My bibliography  Save this paper

Theory And Measurement Of Output Distributions

Author

Listed:
  • Antle, John M.

Abstract

No abstract is available for this item.

Suggested Citation

  • Antle, John M., 1981. "Theory And Measurement Of Output Distributions," Working Papers 225691, University of California, Davis, Department of Agricultural and Resource Economics.
    • Handle: RePEc:ags:ucdavw:225691
    DOI: 10.22004/ag.econ.225691
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/225691/files/agecon-ucdavis-81-03.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.225691?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Forsund, Finn R. & Lovell, C. A. Knox & Schmidt, Peter, 1980. "A survey of frontier production functions and of their relationship to efficiency measurement," Journal of Econometrics, Elsevier, vol. 13(1), pages 5-25, May.
    2. repec:ags:agsaem:288652 is not listed on IDEAS
    3. 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.
    4. Menezes, C & Geiss, C & Tressler, J, 1980. "Increasing Downside Risk," American Economic Review, American Economic Association, vol. 70(5), pages 921-932, December.
    5. Hadar, Josef & Russell, William R, 1969. "Rules for Ordering Uncertain Prospects," American Economic Review, American Economic Association, vol. 59(1), pages 25-34, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Antle, John M., 1981. "Estimation Of Heteroscedastic Regression Models Whose Variances Are Functions Of Exogenous Variables," Working Papers 225693, University of California, Davis, Department of Agricultural and Resource Economics.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hurley, Terrance M., "undated". "A review of agricultural production risk in the developing world," Working Papers 188476, HarvestChoice.
    2. Michel M. Denuit & Louis Eeckhoudt, 2010. "A General Index of Absolute Risk Attitude," Management Science, INFORMS, vol. 56(4), pages 712-715, April.
    3. Gollier, Christian, 2021. "A general theory of risk apportionment," Journal of Economic Theory, Elsevier, vol. 192(C).
    4. Xu, Guo & Wing-Keung, Wong & Lixing, Zhu, 2013. "Almost Stochastic Dominance for Risk-Averse and Risk-Seeking Investors," MPRA Paper 51744, University Library of Munich, Germany.
    5. Rolf Aaberge, 2009. "Ranking intersecting Lorenz curves," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 33(2), pages 235-259, August.
    6. Hennessy, David A., 1998. "Industry equilibrium under price distribution and cost shifts," Journal of Economics and Business, Elsevier, vol. 50(6), pages 509-523, November.
    7. Loubergé, Henri & Malevergne, Yannick & Rey, Béatrice, 2020. "New Results for additive and multiplicative risk apportionment," Journal of Mathematical Economics, Elsevier, vol. 90(C), pages 140-151.
    8. Linden McBride & Leah Bevis, 2019. "Working Paper 311 - Risk, Returns, and Welfare," Working Paper Series 2437, African Development Bank.
    9. Sanglestsawai, Santi & Rodriguez, Divina Gracia P. & Rejesus, Roderick M. & Yorobe, Jose M., 2017. "Production Risk, Farmer Welfare, and Bt Corn in the Philippines," Agricultural and Resource Economics Review, Cambridge University Press, vol. 46(3), pages 507-528, December.
    10. Chi, Yichun & Tan, Ken Seng & Zhuang, Sheng Chao, 2020. "A Bowley solution with limited ceded risk for a monopolistic reinsurer," Insurance: Mathematics and Economics, Elsevier, vol. 91(C), pages 188-201.
    11. Villano, Renato A. & O'Donnell, Christopher J. & Battese, George E., 2005. "An Investigation of Production Risk, Risk Preferences and Technical Efficiency: Evidence From Rainfed Lowland Rice Farms in the Philippines," Working Papers 12953, University of New England, School of Economics.
    12. Anderson, Jock R. & Griffiths, William E., 1982. "Production Risk And Efficient Allocation Of Resources," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 26(3), pages 1-7, December.
    13. Eeckhoudt, Louis & Schlesinger, Harris & Tsetlin, Ilia, 2009. "Apportioning of risks via stochastic dominance," Journal of Economic Theory, Elsevier, vol. 144(3), pages 994-1003, May.
    14. Robison, Lindon J. & King, Robert J., 1978. "Specification of Micro Risk Models for Farm Management and Policy Research," Agricultural Economic Report Series 201245, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    15. Xavier Vollenweider, 2014. "A simple framework for the estimation of climate exposure," GRI Working Papers 158, Grantham Research Institute on Climate Change and the Environment.
    16. Rolf Aaberge, 2003. "Mean-Spread-Preserving Transformations," Discussion Papers 360, Statistics Norway, Research Department.
    17. Guo, Dongmei & Hu, Yi & Wang, Shouyang & Zhao, Lin, 2016. "Comparing risks with reference points: A stochastic dominance approach," Insurance: Mathematics and Economics, Elsevier, vol. 70(C), pages 105-116.
    18. Antle, John M., 1982. "Testing The Stochastic Structure Of Production: A Flexible Moment-Based Approach," Working Papers 225697, University of California, Davis, Department of Agricultural and Resource Economics.
    19. Hennessy, David A., 1997. "Stochastic technologies and the adoption decision," Journal of Development Economics, Elsevier, vol. 54(2), pages 437-453, December.
    20. Thorlund-Petersen, Lars, 2001. "Third-degree stochastic dominance and axioms for a convex marginal utility function," Mathematical Social Sciences, Elsevier, vol. 41(2), pages 167-199, March.

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ucdavw:225691. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/daucdus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.