Author
Listed:
- Ac-Pangan, Walter
- Hendricks, Nathan P.
- Zereyesus, Yacob
- Kee, Jennifer
- Jelliffe, Jeremy
- Morgan, Stephen
- Cardell, Lila
- Nava, Noé J.
Abstract
The International Food Security Assessment (IFSA) report provides forecasts for grain demand, production, and the implied additional grain supply requirement for 77 low- and middle-income countries. In this study, we attempt to enhance the IFSA model by improving the model to forecast production 1 and 10 years into the future. Our results indicate that forecasting growing area and yield separately performs the best when forecasting production rather than directly forecasting production. For predicting and forecasting growing areas, the best model specification includes country-specific linear trends, annual precipitation, futures price, and country-specific fixed effects. Similarly, the best model specification for predicting and forecasting yield involves country-specific linear trends, pooled coefficients on temperature, and country-specific fixed effects. When we compare our best model specification with previous methods used in the IFSA model to predict yield, our revised model outperforms the previous method.
Suggested Citation
Ac-Pangan, Walter & Hendricks, Nathan P. & Zereyesus, Yacob & Kee, Jennifer & Jelliffe, Jeremy & Morgan, Stephen & Cardell, Lila & Nava, Noé J., 2023.
"Improving Existing Methods of IFSA Supply Forecasting,"
2023 Conference, April 24-25, 2023, St. Louis, Missouri
379027, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
Handle:
RePEc:ags:nccc23:379027
DOI: 10.22004/ag.econ.379027
Download full text from publisher
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:nccc23:379027. 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.
We have no bibliographic references for this item. You can help adding them by using 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: http://www.farmdoc.illinois.edu/nccc134/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.