Kansas wheat yield risk measures and aggregation: a meta-analysis approach

• Published in: Journal of Agricultural and Resource Economics Vol. 19; no. 1; pp. 69 - 77
• Main Authors: Marra, M.C, Schurle, B.W
• Format: Journal Article
• Language: English
• Published: Bozeman, MT Western Agricultural Economics Association 01.07.1994
• Edition: 1835
• Subjects: ACREAGE; Aggregation; AGRICULTEUR; AGRICULTORES; ANALISIS ECONOMICO; ANALYSE ECONOMIQUE; Arid zones; CROP PRODUCTION; CROP YIELD; Crops; Dryland farming; ECONOMIC ANALYSIS; FARM AREA; Farm economics; FARMERS; FARMERS' ATTITUDES; Farms; Field crop farms; FORECASTING; KANSAS; Meta analysis; overland park, kansas; PLANT PRODUCTION; PREDICTION; PRODUCCION VEGETAL; PRODUCTION VEGETALE; RENDEMENT DES CULTURES; RENDIMIENTO DE CULTIVOS; RIESGO; RISK; Risk and Uncertainty; risk measurement; RISQUE; Standard deviation; SUPERFICIE DE LA EXPLOTACION; SURFACE D'EXPLOITATION; TECHNIQUE DE PREVISION; TECNICAS DE PREDICCION; TRITICUM AESTIVUM; Wheat; wheat production
• ISSN: 1068-5502; 2327-8285
• DOI: 10.22004/ag.econ.31228

A meta-analysis approach to prediction of farm level yield risk from county level yield series is applied to Kansas wheat yields. A nonlinear relationship between county level and farm level yield risk is found, which indicates that yield risk increases at an increasing rate as the number of acres in the risk measure decreases. County level yield variability should be adjusted upward by approximately. 1% for each percent difference in county acreage and average farm acreage within the county. The meta-analysis approach is shown to be promising for the prediction of farm level yield risk when farm level information is difficult to obtain.