Kansas Wheat Yield Risk Measures and Aggregation: A Meta-Analysis Approach
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 i...
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Western Agricultural Economics Association
1994-07-01
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Online Access: | https://ageconsearch.umn.edu/record/31228 |
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doaj-d578ef5318054e33ad98d63de101ed652020-11-25T02:38:42ZengWestern Agricultural Economics AssociationJournal of Agricultural and Resource Economics1068-55022327-82851994-07-01191697710.22004/ag.econ.3122831228Kansas Wheat Yield Risk Measures and Aggregation: A Meta-Analysis ApproachMichele C. MarraBryan W. SchurleA 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.https://ageconsearch.umn.edu/record/31228meta-analysisrisk measurementwheat productionrisk measurement |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Michele C. Marra Bryan W. Schurle |
spellingShingle |
Michele C. Marra Bryan W. Schurle Kansas Wheat Yield Risk Measures and Aggregation: A Meta-Analysis Approach Journal of Agricultural and Resource Economics meta-analysis risk measurement wheat production risk measurement |
author_facet |
Michele C. Marra Bryan W. Schurle |
author_sort |
Michele C. Marra |
title |
Kansas Wheat Yield Risk Measures and Aggregation: A Meta-Analysis Approach |
title_short |
Kansas Wheat Yield Risk Measures and Aggregation: A Meta-Analysis Approach |
title_full |
Kansas Wheat Yield Risk Measures and Aggregation: A Meta-Analysis Approach |
title_fullStr |
Kansas Wheat Yield Risk Measures and Aggregation: A Meta-Analysis Approach |
title_full_unstemmed |
Kansas Wheat Yield Risk Measures and Aggregation: A Meta-Analysis Approach |
title_sort |
kansas wheat yield risk measures and aggregation: a meta-analysis approach |
publisher |
Western Agricultural Economics Association |
series |
Journal of Agricultural and Resource Economics |
issn |
1068-5502 2327-8285 |
publishDate |
1994-07-01 |
description |
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. |
topic |
meta-analysis risk measurement wheat production risk measurement |
url |
https://ageconsearch.umn.edu/record/31228 |
work_keys_str_mv |
AT michelecmarra kansaswheatyieldriskmeasuresandaggregationametaanalysisapproach AT bryanwschurle kansaswheatyieldriskmeasuresandaggregationametaanalysisapproach |
_version_ |
1724790139186577408 |