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

A Limited Information Bayesian Forecasting Model of the Cattle SubSector

Contents:

Author Info

  • Abidoye, Babatunde O.
  • Lawrence, John D.

Abstract

The first step towards forecasting the price and output of the cattle industry is understanding the dynamics of the livestock production process. This study follows up on the Weimar and Stillman (1990) paper by using data from 1970 to 2005 to estimate the parameters that characterizes the cattle output supply. The model is then used to estimate forecast values for the periods 2006 and 2007. Bayesian limited information likelihood method is used to estimate the parameters when endogeneity exists between these variables. The forecasting ability of the model for a two-step ahead forecast for majority of the variables are relatively good and test statistic of the forecast are reported.

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://purl.umn.edu/53051
Download Restriction: no

Bibliographic Info

Paper provided by NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management in its series 2009 Conference, April 20-21, 2009, St. Louis, Missouri with number 53051.

as in new window
Length:
Date of creation: Apr 2009
Date of revision:
Handle: RePEc:ags:nccc09:53051

Contact details of provider:
Postal: 326 Mumford Hall, MC-710, 1301 West Gregory Drive, Urbana, Illinois, 61801
Phone: (217) 333-1810
Fax: (217) 333-5538
Email:
Web page: http://www.farmdoc.uiuc.edu/nccc134/
More information through EDIRC

Related research

Keywords: Cattle; Bayesian; forecasting; Inventory; Slaughter; Agribusiness; Agricultural Finance; Financial Economics; Livestock Production/Industries; Marketing; Production Economics; Research Methods/ Statistical Methods;

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:ags:nccc09:53051. 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: (AgEcon Search).

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.