Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/179079
Authors: 
Haile, Mekbib G.
Brockhaus, Jan
Kalkuhl, Matthias
Year of Publication: 
2016
Citation: 
[Journal:] Agricultural and Food Economics [ISSN:] 2193-7532 [Volume:] 4 [Year:] 2016 [Issue:] 17 [Pages:] 1-23
Abstract: 
Forecasting food production is important to identify possible shortages in supply and, thus, food security risks. Such forecasts may improve input allocation decisions that affect agribusiness and the input supply industry. This paper explains methods and data used to forecast acreage of four crops that are particularly important staple commodities in the world, namely wheat, corn, rice, and soybeans for major global producer countries. It focuses on forecasting acreage-one of the two major determinants of grain production-3 months before planting starts with publicly available data. To this end, we use data from the period 1991 to 2013 and perform an out-of-sample forecast for the year 2014. A particular characteristic of this study is that the respective acreage determinants for each country and each crop are identified and used for forecasting separately. This allows accounting for the heterogeneity in the countries' agricultural, political, and economic systems through a country-specific model specification. The performance of the resulting forecasting tool is validated with ex-post prediction of acreage against historical data.
Subjects: 
Acreage forecasting
Supply response
International prices
Staple crops
Price expectations
JEL: 
Q11
Q18
Q13
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by/4.0/
Document Type: 
Article

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