IDEAS home Printed from https://ideas.repec.org/p/ags/uerssr/321270.html
   My bibliography  Save this paper

One, Two, and Three Line Segment "Straw Man" Models: Soybean Yields in Iowa, Illinois, and Indiana

Author

Listed:
  • Sebaugh, Jeanne L.

Abstract

All of the straw man models attempt to explain differences in yields over time by fitting trend lines to the yield data. The one line segment straw man model, simple linear regression, describes a uniform increase in yields over time. The two and three line segment straw man models allow the rate of change in yields to vary over the time period. The performance of the three models in predicting soybean yields in Iowa, Illinois, and Indiana is compared based on eight model characteristics. There is little difference between the three models in relation to seven of the characteristics: objectivity, consistency with scientific knowledge, adequacy, timeliness, minimum costs, simplicity, and accurate current measures of modeled yield reliability. The one line model performs somewhat better than the other straw man models on the remaining characteristics, yield indication reliability.

Suggested Citation

  • Sebaugh, Jeanne L., 1981. "One, Two, and Three Line Segment "Straw Man" Models: Soybean Yields in Iowa, Illinois, and Indiana," Staff Reports 321270, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerssr:321270
    DOI: 10.22004/ag.econ.321270
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/321270/files/AGESS810514.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.321270?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. Sebaugh, Jeanne L., 1981. "Evaluation of "Straw Man" Model 1, the Simple Linear Model, for Soybean Yields in Iowa, Illinois and Indiana," Staff Reports 321192, United States Department of Agriculture, Economic Research Service.
    2. Kestle, Richard A., 1981. "Analysis of Crop Yield Trends and Development of Simple Corn and Soybean "Straw Man" Models for Indiana, Illinois, and Iowa," Staff Reports 321251, United States Department of Agriculture, Economic Research Service.
    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. McCormick, M. Denice & Birkett, Thomas R., 1992. "Evaluating the Addition of Weather Data to Survey Data to Forecast Soybean Yields," NASS Research Reports 323938, United States Department of Agriculture, National Agricultural Statistics Service.

    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. McCormick, M. Denice & Birkett, Thomas R., 1992. "Evaluating the Addition of Weather Data to Survey Data to Forecast Soybean Yields," NASS Research Reports 323938, United States Department of Agriculture, National Agricultural Statistics Service.
    2. Sebaugh, Jeanne L., 1981. "Evaluation of "Straw Man" Model 1, the Simple Linear Model, for Soybean Yields in Iowa, Illinois and Indiana," Staff Reports 321192, United States Department of Agriculture, Economic Research Service.

    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:uerssr:321270. 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/ersgvus.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.