IDEAS home Printed from https://ideas.repec.org/p/ags/umdrwp/197838.html
   My bibliography  Save this paper

Consumers' Surplus as an Exact and Superlative Cardinal Welfare Indicator

Author

Listed:
  • Chambers, Robert G.

Abstract

No abstract is available for this item.

Suggested Citation

  • Chambers, Robert G., 1997. "Consumers' Surplus as an Exact and Superlative Cardinal Welfare Indicator," Working Papers 197838, University of Maryland, Department of Agricultural and Resource Economics.
    • Handle: RePEc:ags:umdrwp:197838
    DOI: 10.22004/ag.econ.197838
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/197838/files/agecon-maryland-96-03.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.197838?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. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    2. Dickinson, Jonathan G, 1980. "Parallel Preference Structures in Labor Supply and Commodity Demand: An Adaptation of the Gorman Polar Form," Econometrica, Econometric Society, vol. 48(7), pages 1711-1725, November.
    3. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    Full references (including those not matched with items on IDEAS)

    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. Färe, Rolf & Grosskopf, Shawna & Hayes, Kathy J. & Margaritis, Dimitris, 2008. "Estimating demand with distance functions: Parameterization in the primal and dual," Journal of Econometrics, Elsevier, vol. 147(2), pages 266-274, December.
    2. Robert Chambers, 2008. "Stochastic productivity measurement," Journal of Productivity Analysis, Springer, vol. 30(2), pages 107-120, October.
    3. Chambers, Robert G. & Quiggin, John, 2001. "Primal and Dual Approaches to the Analysis of Risk Aversion," Working Papers 197602, University of Maryland, Department of Agricultural and Resource Economics.
    4. Chavas, Jean-Paul & Cox, Thomas L., 1999. "A Generalized Distance Function And The Analysis Of Production Efficiency," Staff Papers 12601, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    5. Frederic Ang & Stephen J. Ramsden, 2024. "Analysing determinate components of an approximated Luenberger–Hicks–Moorsteen productivity indicator: An application to German dairy‐processing firms," Agribusiness, John Wiley & Sons, Ltd., vol. 40(2), pages 349-370, April.
    6. Ball, V.E. & Färe, R. & Grosskopf, S. & Margaritis, D., 2015. "The role of energy productivity in U.S. agriculture," Energy Economics, Elsevier, vol. 49(C), pages 460-471.
    7. Chambers, Robert & Färe, Rolf & Grosskopf, Shawna & Vardanyan, Michael, 2013. "Generalized quadratic revenue functions," Journal of Econometrics, Elsevier, vol. 173(1), pages 11-21.
    8. Zhang, Ning & Wang, Bing, 2015. "A deterministic parametric metafrontier Luenberger indicator for measuring environmentally-sensitive productivity growth: A Korean fossil-fuel power case," Energy Economics, Elsevier, vol. 51(C), pages 88-98.
    9. Moriah Bostian & Tommy Lundgren, 2022. "Valuing Ecosystem Services for Agricultural TFP: A Review of Best Practices, Challenges, and Recommendations," Sustainability, MDPI, vol. 14(5), pages 1-19, March.
    10. Jean‐Paul Chavas & Thomas L. Cox, 1999. "A Generalized Distance Function and the Analysis of Production Efficiency," Southern Economic Journal, John Wiley & Sons, vol. 66(2), pages 294-318, October.
    11. Barnett, William A. & Erwin Diewert, W. & Zellner, Arnold, 2011. "Introduction to measurement with theory," Journal of Econometrics, Elsevier, vol. 161(1), pages 1-5, March.
    12. Lisbeth Funding la Cour, 1995. "A Component® based Analysis of the danish Long-run Money Demand Relation," Discussion Papers 95-18, University of Copenhagen. Department of Economics.
    13. Rym Ayadi & Jean-Philippe Boussemart & Hervé Leleu & Dhafer Saidane, 2013. "Mergers and Acquisitions in European banking higher productivity or better synergy among business lines?," Journal of Productivity Analysis, Springer, vol. 39(2), pages 165-175, April.
    14. Santos, João & Domingos, Tiago & Sousa, Tânia & St. Aubyn, Miguel, 2016. "Does a small cost share reflect a negligible role for energy in economic production? Testing for aggregate production functions including capital, labor, and useful exergy through a cointegration-base," MPRA Paper 70850, University Library of Munich, Germany.
    15. Muhammad Ali Chaudhary & Eatzaz Ahmad & Abid A. Burki & Mushtaq A. Khan, 1999. "Industrial Sector Input Demand Responsiveness and Policy Interventions," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 38(4), pages 1083-1100.
    16. Claude Hillinger, 2002. "A General Theory of Price and Quantity Aggregation and Welfare Measurement," CESifo Working Paper Series 818, CESifo.
    17. McGath, Christopher & McElroy, Robert G. & Strickland, Roger & Traub, Larry & Convey, Theodore & Short, Sara D. & Johnson, James & Green, Report & Ali, Mir B. & Vogel, Stephen, 2009. "Forecasting Farm Income: Documenting USDA's Forecast Model," Technical Bulletins 184311, United States Department of Agriculture, Economic Research Service.
    18. Zaim, Osman & Uygurtürk Gazel, Tuğçe & Akkemik, K. Ali, 2017. "Measuring energy intensity in Japan: A new method," European Journal of Operational Research, Elsevier, vol. 258(2), pages 778-789.
    19. W. Erwin Diewert & Robert C. Feenstra, 2021. "Estimating the Benefits of New Products," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 437-473, National Bureau of Economic Research, Inc.
    20. Bogetoft, Peter & Leth Hougaard, Jens, 2004. "Super efficiency evaluations based on potential slack," European Journal of Operational Research, Elsevier, vol. 152(1), pages 14-21, January.

    More about this item

    Keywords

    Consumer/Household Economics;

    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:umdrwp:197838. 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/daumdus.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.