Advanced Search
MyIDEAS: Login

Are U.S. Corn and Soybeans Becoming More Drought Tolerant?

Contents:

Author Info

Abstract

An objective drought index that measures the dry and hot conditions adversely affecting crop yields is used in a regression analysis to test whether corn and soybeans have become more drought tolerant. Results indicate that corn yield losses, whether measured in quantity terms or as a percentage of mean yield, have decreased. The null hypothesis that the absolute level of soybean yield losses due to drought has not changed cannot be rejected. But yield losses in percentage terms have decreased over time. Because drought is the primary cause of yield loss in the U.S. crop insurance program and because U.S. crop insurance rates assume that percentage of yield losses are constant over time, these results indicate that U.S. crop insurance rates in the Corn Belt are too high.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.card.iastate.edu/publications/DBS/PDFFiles/09wp500.pdf
File Function: Full Text
Download Restriction: no

File URL: http://www.card.iastate.edu/publications/synopsis.aspx?id=1116
File Function: Online Synopsis
Download Restriction: no

Bibliographic Info

Paper provided by Center for Agricultural and Rural Development (CARD) at Iowa State University in its series Center for Agricultural and Rural Development (CARD) Publications with number 09-wp500.

as in new window
Length:
Date of creation: Oct 2009
Date of revision:
Handle: RePEc:ias:cpaper:09-wp500

Contact details of provider:
Postal: 578 Heady Hall, Ames, Iowa 50011-1070
Phone: (515) 294-1183
Fax: (515) 294-6336
Email:
Web page: http://www.card.iastate.edu/
More information through EDIRC

Related research

Keywords: corn; crop insurance rates; drought tolerance; soybean; yield risk;

Other versions of this item:

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. O'Brien, Daniel & Hayenga, Marvin L. & Babcock, Bruce A., 1996. "Deriving Forecast Probability Distributions of Harvest-Time Corn Futures Prices," Staff General Research Papers 5234, Iowa State University, Department of Economics.
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 in new window

Cited by:
  1. Xiaodong Du & David A. Hennessy & Cindy L. Yu, 2010. "Testing Day's Conjecture that More Nitrogen Decreases Crop Yield Skewness," Center for Agricultural and Rural Development (CARD) Publications 10-wp511, Center for Agricultural and Rural Development (CARD) at Iowa State University.
  2. Du, Xiaodong & Hennessy, David A. & Yu, Cindy L. & Miao, Ruiqing, 2012. "Geography of Crop Yield Skewness," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124748, Agricultural and Applied Economics Association.
  3. Leister, Amanda M. & Lee, John G. & Paarlberg, Philip P., 2013. "Dynamic Effects of Drought on the U.S. Livestock Sector," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149946, Agricultural and Applied Economics Association.
  4. Adhikari, Shyam & Knight, Thomas O. & Belasco, Eric J., 2012. "Evaluation of Crop Insurance Yield Guarantees and Producer Welfare with Upward-Trending Yields," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), December.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:ias:cpaper:09-wp500. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.