IDEAS home Printed from https://ideas.repec.org/p/trr/wpaper/201005.html
   My bibliography  Save this paper

Drobisch's Legacy to Price Statistics

Author

Listed:
  • Ludwig von Auer

Abstract

In order to provide information concerning the significant contributions to price index theory made by Moritz Wilhelm Drobisch (1802-1896), this paper presents an account of his pioneering scientific achievements together with a synopsis of his personal and professional life. He was the first to formulate the unit value index as well as the Laspeyres and Paasche price indices. These three indices are the key for the official inflation measurements that are made around the world today.

Suggested Citation

  • Ludwig von Auer, 2010. "Drobisch's Legacy to Price Statistics," Research Papers in Economics 2010-05, University of Trier, Department of Economics.
  • Handle: RePEc:trr:wpaper:201005
    as

    Download full text from publisher

    File URL: http://www.uni-trier.de/fileadmin/fb4/prof/VWL/EWF/Research_Papers/2010-05.pdf
    File Function: First version, 2010
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Balk,Bert M., 2012. "Price and Quantity Index Numbers," Cambridge Books, Cambridge University Press, number 9781107404960, November.
    2. Ludwig von Auer, 2009. "The Measurement of Macroeconomic Price Level Changes," Research Papers in Economics 2009-01, University of Trier, Department of Economics.
    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. Hajargasht, Gholamreza & Rao, D.S. Prasada, 2019. "Multilateral index number systems for international price comparisons: Properties, existence and uniqueness," Journal of Mathematical Economics, Elsevier, vol. 83(C), pages 36-47.
    2. Diewert, W. Erwin & Fox, Kevin J., 2017. "Substitution Bias in Multilateral Methods for CPI Construction using Scanner Data," Microeconomics.ca working papers erwin_diewert-2017-3, Vancouver School of Economics, revised 23 Mar 2017.
    3. Inanoglu, Hulusi & Jacobs, Michael, Jr. & Liu, Junrong & Sickles, Robin, 2015. "Analyzing Bank Efficiency: Are "Too-Big-to-Fail" Banks Efficient?," Working Papers 15-016, Rice University, Department of Economics.
    4. Van Puyenbroeck, Tom & Rogge, Nicky, 2017. "Geometric mean quantity index numbers with Benefit-of-the-Doubt weights," European Journal of Operational Research, Elsevier, vol. 256(3), pages 1004-1014.
    5. Balk, Bert M. & Rambaldi, Alicia N. & Rao, D. S. Prasada, 2022. "Macro-Economic Measures For A Globalized World: Global Growth And Inflation," Macroeconomic Dynamics, Cambridge University Press, vol. 26(2), pages 314-360, March.
    6. Alekseev, Aleksandr & Sokolov, Mikhail V., 2021. "How to measure the average rate of change?," Mathematical Social Sciences, Elsevier, vol. 113(C), pages 43-59.
    7. Walden, John & Fissel, Ben & Squires, Dale & Vestergaard, Niels, 2015. "Productivity change in commercial fisheries: An introduction to the special issue," Marine Policy, Elsevier, vol. 62(C), pages 289-293.
    8. Pastor, Jesus T. & Lovell, C.A. Knox & Aparicio, Juan, 2020. "Defining a new graph inefficiency measure for the proportional directional distance function and introducing a new Malmquist productivity index," European Journal of Operational Research, Elsevier, vol. 281(1), pages 222-230.
    9. Carlo De Gregorio, 2012. "Sample size for the estimate of consumer price subindices with alternative statistical designs," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 14(1), pages 19-47, October.
    10. Silver Mick, 2022. "Econometric Issues in Hedonic Property Price Indices: Some Practical Help," Journal of Official Statistics, Sciendo, vol. 38(1), pages 153-186, March.
    11. Bert M. Balk, 2010. "An Assumptionā€Free Framework For Measuring Productivity Change," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(s1), pages 224-256, June.
    12. Nicholas Oulton, 2021. "The effect of changes in the terms of trade on GDP and welfare: a Divisia approach to the SNA," Discussion Papers 2126, Centre for Macroeconomics (CFM).
    13. Diewert, Erwin, 2009. "Cost of Living Indexes and Exact Index Numbers," Economics working papers erwin_diewert-2009-6, Vancouver School of Economics, revised 13 Feb 2009.
    14. Su, Bin & Ang, B.W., 2014. "Attribution of changes in the generalized Fisher index with application to embodied emission studies," Energy, Elsevier, vol. 69(C), pages 778-786.
    15. Consuelo Nava & Maria Grazia Zoia, 2019. "An econometric analysis of the Italian cultural supply," Papers 1910.00073, arXiv.org, revised May 2020.
    16. Satoshi Imai & Tsutomu Watanabe, 2013. "Product Downsizing and Hidden Price Increases: Evidence from Japan's Deflationary Period," UTokyo Price Project Working Paper Series 008, University of Tokyo, Graduate School of Economics, revised Jun 2013.
    17. Satoshi Imai & Tsutomu Watanabe, 2014. "Product Downsizing and Hidden Price Increases: Evidence from Japan's Deflationary Period," Asian Economic Policy Review, Japan Center for Economic Research, vol. 9(1), pages 69-89, January.
    18. Heidi K. Edmonds & Julie E. Lovell & C. A. Knox Lovell, 2017. "A New Composite Index for Greenhouse Gases: Climate Science Meets Social Science," Resources, MDPI, vol. 6(4), pages 1-16, October.
    19. C.J. O'Donnell, 2011. "The Sources of Productivity Change in the Manufacturing Sectors of the U.S. Economy," CEPA Working Papers Series WP072011, School of Economics, University of Queensland, Australia.
    20. Robin C. Sickles & Jiaqi Hao & Chenjun Shang, 2016. "Productivity Measurement, Model Averaging, and World Trends in Growth and Inequality," Springer Proceedings in Business and Economics, in: William H. Greene & Lynda Khalaf & Robin Sickles & Michael Veall & Marcel-Cristian Voia (ed.), Productivity and Efficiency Analysis, edition 1, chapter 0, pages 305-323, Springer.

    More about this item

    Keywords

    Price; Inflation; Index Theory; Measurement;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    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:trr:wpaper:201005. 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: Matthias Neuenkirch (email available below). General contact details of provider: https://edirc.repec.org/data/petride.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.