IDEAS home Printed from https://ideas.repec.org/a/wly/agribz/v6y1990i1p33-40.html
   My bibliography  Save this article

Whimsical aggregation of temporal data, market identification, and fragile results

Author

Listed:
  • Steven C. Blank

    (Department of Agricultural Economics, University of California, Davis and Economics Department, South Dakota State University)

  • Brian H. Schmiesing

    (Department of Agricultural Economics, University of California, Davis and Economics Department, South Dakota State University)

Abstract

One of the most common problems faced by analysts of agribusiness markets is that available data are aggregated to a degree that obscures the underlying decision process. This article reminds analysts of the implications of temporal data aggregation for market identification and its effects on the robustness of empirical results. Also, three major commodity market price series are analyzed to demonstrate how aggregation can affect empirical results. Finally, guidelines are suggested for selecting the appropriate level of aggregation for empirical problems.

Suggested Citation

  • Steven C. Blank & Brian H. Schmiesing, 1990. "Whimsical aggregation of temporal data, market identification, and fragile results," Agribusiness, John Wiley & Sons, Ltd., vol. 6(1), pages 33-40.
    • Handle: RePEc:wly:agribz:v:6:y:1990:i:1:p:33-40
    DOI: 10.1002/1520-6297(199001)6:1<33::AID-AGR2720060104>3.0.CO;2-E
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Wei, William W. S., 1978. "The effect of temporal aggregation on parameter estimation in distributed lag model," Journal of Econometrics, Elsevier, vol. 8(2), pages 237-246, October.
    2. Zellner, Arnold & Montmarquette, Claude, 1971. "A Study of Some Aspects of Temporal Aggregation Problems in Econometric Analyses," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 335-342, November.
    3. Leamer, Edward E, 1983. "Let's Take the Con Out of Econometrics," American Economic Review, American Economic Association, vol. 73(1), pages 31-43, March.
    4. Uri, Noel D & Rifkin, Edward J, 1985. "Geographic Markets, Causality and Railroad Deregulation," The Review of Economics and Statistics, MIT Press, vol. 67(3), pages 422-428, August.
    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. von Cramon-Taubadel, Stephan & Loy, Jens-Peter & Meyer, Jochen, 2006. "Data Aggregation and Vertical Price Transmission: An Experiment with German Food Prices," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25291, International Association of Agricultural Economists.
    2. Lyon, Charles C. & Thompson, Gary D., 1991. "Model Selection With Temporal And Spatial Aggregation: Alternative Marketing Margin Models," Staff Papers 13253, University of Minnesota, Department of Applied Economics.
    3. Stephan von Cramon-Taubadel & Jens-Peter Loy & Jochen Meyer, 2006. "The impact of cross-sectional data aggregation on the measurement of vertical price transmission: An experiment with German food prices," Agribusiness, John Wiley & Sons, Ltd., vol. 22(4), pages 505-522.
    4. Basitan, Chris T. & Carver, Robert D. & Menkhaus, Dale J., 1992. "The Market Efficiency of Feeder Cattle Futures After Cash Settlement," WAEA/ WFEA Conference Archive (1929-1995) 321382, Western Agricultural Economics Association.

    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. Mamingi Nlandu, 2017. "Beauty and Ugliness of Aggregation over Time: A Survey," Review of Economics, De Gruyter, vol. 68(3), pages 205-227, December.
    2. Jon Cockerline & John F. Helliwell & Robert Lafrance, 1990. "Multicountry modeling of financial markets," Proceedings, Board of Governors of the Federal Reserve System (U.S.), pages 305-363.
    3. Maria Nikoloudaki & Dikaios Tserkezos, 2008. "Temporal Aggregation Effects in Choosing the Optimal Lag Order in Stable ARMA Models: Some Monte Carlo Results," Working Papers 0822, University of Crete, Department of Economics.
    4. Ruist, Erik, 1996. "Temporal Aggregation of an Econometric Equation," Working Papers 52, National Institute of Economic Research.
    5. Cho, Seo-young & Vadlamannati, Krishna Chaitanya, 2010. "Compliance for big brothers: An empirical analysis on the impact of the anti-trafficking protocol," University of Göttingen Working Papers in Economics 118, University of Goettingen, Department of Economics.
    6. Ho, Ron Yiu-wah & Strange, Roger & Piesse, Jenifer, 2006. "On the conditional pricing effects of beta, size, and book-to-market equity in the Hong Kong market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(3), pages 199-214, July.
    7. Jing Xing, 2011. "Does tax structure affect economic growth? Empirical evidence from OECD countries," Working Papers 1120, Oxford University Centre for Business Taxation.
    8. David Card, 2022. "Design-Based Research in Empirical Microeconomics," American Economic Review, American Economic Association, vol. 112(6), pages 1773-1781, June.
    9. Anne Musson & Damien Rousselière, 2020. "Exploring the effect of crisis on cooperatives: a Bayesian performance analysis of French craftsmen cooperatives," Applied Economics, Taylor & Francis Journals, vol. 52(25), pages 2657-2678, May.
    10. J.C.R. Rowley & D.A. Wilton, 1972. "Known Moving-Average Transformations and Autoregressive Processes," Working Paper 70, Economics Department, Queen's University.
    11. Marc-Olivier Bessette & Mariame Dioubate & Myriane Hébert & Miriam Elsie Kuimi Tchana & Laura Morissette & Jean-Charles Toupin & Raoul Yaro & Maurice Doyon, 2020. "La présence de biais cognitifs en analyse économique : une étude de cas," CIRANO Working Papers 2020s-12, CIRANO.
    12. Sai Ding & John Knight, 2011. "Why has China Grown So Fast? The Role of Physical and Human Capital Formation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(2), pages 141-174, April.
    13. Terrence Hallahan & Robert Faff, 2001. "Induced persistence or reversals in fund performance?: the effect of survivorship bias," Applied Financial Economics, Taylor & Francis Journals, vol. 11(2), pages 119-126.
    14. Christoph Engel, 2006. "The Difficult Reception of Rigorous Descriptive Social Science in the Law," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2006_1, Max Planck Institute for Research on Collective Goods.
    15. Alexandre Petkovic & David Veredas, 2009. "Aggregation of linear models for panel data," Working Papers ECARES 2009-012, ULB -- Universite Libre de Bruxelles.
    16. Durlauf, Steven N., 2001. "Manifesto for a growth econometrics," Journal of Econometrics, Elsevier, vol. 100(1), pages 65-69, January.
    17. Christopher J. Ruhm, 2019. "Shackling the Identification Police?," Southern Economic Journal, John Wiley & Sons, vol. 85(4), pages 1016-1026, April.
    18. Castle Jennifer L. & Doornik Jurgen A & Hendry David F., 2011. "Evaluating Automatic Model Selection," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-33, February.
    19. Asad Zaman, 2012. "Methodological Mistakes and Econometric Consequences," International Econometric Review (IER), Econometric Research Association, vol. 4(2), pages 99-122, September.
    20. R Burger & S du Plessis, 2011. "Examining the Robustness of Competing Explanations of Slow Growth in African Countries," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 35(3), pages 21-47, December.

    More about this item

    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:wly:agribz:v:6:y:1990:i:1:p:33-40. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1520-6297 .

    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.