Advanced Search
MyIDEAS: Login to save this paper or follow this series

Estimating Non-linear Weather Impacts on Corn Yield--A Bayesian Approach

Contents:

Author Info

Abstract

We estimate impacts of rainfall and temperature on corn yields by fitting a linear spline model with endogenous thresholds. Using Gibbs sampling and the Metropolis - Hastings algorithm, we simultaneously estimate the thresholds and other model parameters. A hierarchical structure is applied to capture county-specific factors determining corn yields. Results indicate that impacts of both rainfall and temperature are nonlinear and asymmetric in most states. Yield is concave in both weather variables. Corn yield decreases significantly when temperature increases beyond a certain threshold, and when the amount of rainfall decreases below a certain threshold. Flooding is another source of yield loss in some states. A moderate amount of heat is beneficial to corn yield in northern states, but not in other states. Both the levels of the thresholds and the magnitudes of the weather effects are estimated to be different across states in the Corn Belt.

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/11wp522.pdf
File Function: Full Text
Download Restriction: no

File URL: http://www.card.iastate.edu/publications/synopsis.aspx?id=1159
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 11-wp522.

as in new window
Length:
Date of creation: Apr 2011
Date of revision:
Handle: RePEc:ias:cpaper:11-wp522

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: Bayesian estimation; Gibbs sampler; hierarchical structure; Metropolis-Hastings algorithm; non-linear JEL codes: C11; C13; Q10; Q54.;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

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:11-wp522. 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.