IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v102y2009i1p19-21.html
   My bibliography  Save this article

Value data and the Bennet price and quantity indicators

Author

Listed:
  • Cross, Robin M.
  • Färe, Rolf

Abstract

We derive value-based Bennet indicators, expressed in terms of revenues and expenditures (values) and relative prices, rather than prices and quantities. We then show how relative price information is recoverable from value data when agents are rational.

Suggested Citation

  • Cross, Robin M. & Färe, Rolf, 2009. "Value data and the Bennet price and quantity indicators," Economics Letters, Elsevier, vol. 102(1), pages 19-21, January.
    • Handle: RePEc:eee:ecolet:v:102:y:2009:i:1:p:19-21
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1765(08)00279-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. Varian, Hal R, 1984. "The Nonparametric Approach to Production Analysis," Econometrica, Econometric Society, vol. 52(3), pages 579-597, May.
    3. E. T. McPHEE., 1928. "Notes," The Economic Record, The Economic Society of Australia, vol. 4(1), pages 92-95, May.
    4. W. Erwin Diewert, 2005. "Index Number Theory Using Differences Rather Than Ratios," American Journal of Economics and Sociology, Wiley Blackwell, vol. 64(1), pages 311-360, January.
    5. Chambers, Robert G, 2001. "Consumer's Surplus As an Exact and Superlative Cardinal Welfare Indicator," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(1), pages 105-119, February.
    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. Thanh Ngo & David Tripe & Duc Khuong Nguyen, 2024. "Estimating the productivity of US agriculture: The Fisher total factor productivity index for time series data with unknown prices," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 68(3), pages 701-712, July.
    2. Silva Portela, Maria Conceição A., 2014. "Value and quantity data in economic and technical efficiency measurement," Economics Letters, Elsevier, vol. 124(1), pages 108-112.

    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. W. Erwin Diewert & Kevin J. Fox, 2021. "The Difference Approach to Productivity Measurement and Exact Indicators," Springer Proceedings in Business and Economics, in: Christopher F. Parmeter & Robin C. Sickles (ed.), Advances in Efficiency and Productivity Analysis, pages 9-40, Springer.
    2. Frederic Ang & Pieter Jan Kerstens, 2023. "Robust nonparametric analysis of dynamic profits, prices and productivity: An application to French meat-processing firms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(2), pages 771-809.
    3. 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.
    4. W. Erwin Diewert & Kevin J. Fox, 2017. "Decomposing Value Added Growth into Explanatory Factors," Discussion Papers 2017-02, School of Economics, The University of New South Wales.
    5. W. Briec & K. Kerstens, 2009. "Infeasibility and Directional Distance Functions with Application to the Determinateness of the Luenberger Productivity Indicator," Journal of Optimization Theory and Applications, Springer, vol. 141(1), pages 55-73, April.
    6. Brynjolfsson, Erik & Collis, Avinash & Diewert, W. Erwin & Eggers, Felix & Fox, Kevin J., 2019. "GDP-B: Accounting for the Value of New and Free Goods in the Digital Economy," OSF Preprints sptfu, Center for Open Science.
    7. Chavas, Jean-Paul & Aliber, Michael, 1993. "An Analysis Of Economic Efficiency In Agriculture: A Nonparametric Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(1), pages 1-16, July.
    8. Marshall Reinsdorf & Jack E. Triplett, 2009. "A Review of Reviews: Ninety Years of Professional Thinking About the Consumer Price Index," NBER Chapters, in: Price Index Concepts and Measurement, pages 17-83, National Bureau of Economic Research, Inc.
    9. Cherchye, Laurens & Demuynck, Thomas & De Rock, Bram & Hjertstrand, Per, 2015. "Revealed preference tests for weak separability: An integer programming approach," Journal of Econometrics, Elsevier, vol. 186(1), pages 129-141.
    10. Frederic Ang & Pieter Jan Kerstens, 2018. "Superlative approximation of the Luenberger-Hicks-Moorsteen productivity indicator: Theory and application," IFRO Working Paper 2018/10, University of Copenhagen, Department of Food and Resource Economics.
    11. Briec, Walter & Kerstens, Kristiaan, 2009. "The Luenberger productivity indicator: An economic specification leading to infeasibilities," Economic Modelling, Elsevier, vol. 26(3), pages 597-600, May.
    12. Robert Chambers, 2008. "Stochastic productivity measurement," Journal of Productivity Analysis, Springer, vol. 30(2), pages 107-120, October.
    13. Petter Frenger, 2006. "The substitution bias of the consumer price index," Discussion Papers 451, Statistics Norway, Research Department.
    14. Robert C. Feenstra & Benjamin R. Mandel & Marshall B. Reinsdorf & Matthew J. Slaughter, 2013. "Effects of Terms of Trade Gains and Tariff Changes on the Measurement of US Productivity Growth," American Economic Journal: Economic Policy, American Economic Association, vol. 5(1), pages 59-93, February.
    15. C. Lovell & Shawna Grosskopf & Eduardo Ley & Jesús Pastor & Diego Prior & Philippe Eeckaut, 1994. "Linear programming approaches to the measurement and analysis of productive efficiency," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 2(2), pages 175-248, December.
    16. Jean-Paul Chavas & Thomas L. Cox, 1992. "A Nonparametric Analysis of the Influence of Research on Agricultural Productivity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(3), pages 583-591.
    17. Jean-Paul CHAVAS & Thomas L. COX, 1994. "A Primal-Dual Approach To Nonparametric Productivity Analysis: The Case Of U.S. Agriculture," Staff Papers 372, University of Wisconsin Madison, AAE.
    18. Diewert, Erwin & Fox, Kevin J., 2019. "Productivity Indexes and National Statistics: Theory, Methods and Challenges," Microeconomics.ca working papers erwin_diewert-2019-8, Vancouver School of Economics, revised 25 Apr 2019.
    19. Cox, Thomas L. & Mullen, John D. & Hu, Wensheng, 1996. "Nonparametric Measures Of The Impacts Of Public Research Expenditures On Australian Broadacre Agriculture: Preliminary Results," Staff Papers 12656, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    20. Cox, Thomas L. & Mullen, John D. & Hu, Wensheng, 1997. "Nonparametric measures of the impact of public research expenditures on Australian broadacre agriculture," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 41(3), pages 1-28.

    More about this item

    Keywords

    Bennet indicators Prices Weak axiom;

    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:eee:ecolet:v:102:y:2009:i:1:p:19-21. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.