How High the Hedge: Relationships between Prices and Yields in the Federal Crop Insurance Program
The theory of the natural hedge states that agricultural yields and prices are inversely related. Actuarial rules for U.S. crop revenue insurance assume that dependence between yield and price is constant across all counties within a state and that dependence can be adequately described by the Gauss...
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Western Agricultural Economics Association
2019-05-01
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doaj-9ee40659cbd74f90adec1deed67a5f212020-11-24T21:47:14ZengWestern Agricultural Economics AssociationJournal of Agricultural and Resource Economics1068-55022327-82852019-05-0144222724510.22004/ag.econ.287967287967How High the Hedge: Relationships between Prices and Yields in the Federal Crop Insurance ProgramA. Ford RamseyBarry K. GoodwinSujit K. GhoshThe theory of the natural hedge states that agricultural yields and prices are inversely related. Actuarial rules for U.S. crop revenue insurance assume that dependence between yield and price is constant across all counties within a state and that dependence can be adequately described by the Gaussian copula. We use nonlinear measures of association and a selection of bivariate copulas to empirically characterize spatially-varying dependence between prices and yields and examine premium rate sensitivity for all corn producing counties in the United States. A simulation analysis across copula types and parameter values exposes hypothetical impacts of actuarial changes.https://ageconsearch.umn.edu/record/287967copuladependencerevenue insurancerisk management |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. Ford Ramsey Barry K. Goodwin Sujit K. Ghosh |
spellingShingle |
A. Ford Ramsey Barry K. Goodwin Sujit K. Ghosh How High the Hedge: Relationships between Prices and Yields in the Federal Crop Insurance Program Journal of Agricultural and Resource Economics copula dependence revenue insurance risk management |
author_facet |
A. Ford Ramsey Barry K. Goodwin Sujit K. Ghosh |
author_sort |
A. Ford Ramsey |
title |
How High the Hedge: Relationships between Prices and Yields in the Federal Crop Insurance Program |
title_short |
How High the Hedge: Relationships between Prices and Yields in the Federal Crop Insurance Program |
title_full |
How High the Hedge: Relationships between Prices and Yields in the Federal Crop Insurance Program |
title_fullStr |
How High the Hedge: Relationships between Prices and Yields in the Federal Crop Insurance Program |
title_full_unstemmed |
How High the Hedge: Relationships between Prices and Yields in the Federal Crop Insurance Program |
title_sort |
how high the hedge: relationships between prices and yields in the federal crop insurance program |
publisher |
Western Agricultural Economics Association |
series |
Journal of Agricultural and Resource Economics |
issn |
1068-5502 2327-8285 |
publishDate |
2019-05-01 |
description |
The theory of the natural hedge states that agricultural yields and prices are inversely related. Actuarial rules for U.S. crop revenue insurance assume that dependence between yield and price is constant across all counties within a state and that dependence can be adequately described by the Gaussian copula. We use nonlinear measures of association and a selection of bivariate copulas to empirically characterize spatially-varying dependence between prices and yields and examine premium rate sensitivity for all corn producing counties in the United States. A simulation analysis across copula types and parameter values exposes hypothetical impacts of actuarial changes. |
topic |
copula dependence revenue insurance risk management |
url |
https://ageconsearch.umn.edu/record/287967 |
work_keys_str_mv |
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