Actuarial Impacts of Loss Cost Ratio Ratemaking in U.S. Crop Insurance Programs

This study examines the actuarial implications of the loss cost ratio (LCR) ratemaking methodology employed by the Risk Management Agency as a component of base rates for U.S. crop insurance programs, and identifies specific conditions required for the LCR methodology to result in unbiased rates whe...

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Main Authors: Joshua D. Woodard, Bruce J. Sherrick, Gary D. Schnitkey
Format: Article
Language:English
Published: Western Agricultural Economics Association 2011-04-01
Series:Journal of Agricultural and Resource Economics
Subjects:
Online Access:https://ageconsearch.umn.edu/record/105550
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spelling doaj-78aa6df81c09479ab35d3d34472a72f82020-11-25T02:57:28ZengWestern Agricultural Economics AssociationJournal of Agricultural and Resource Economics1068-55022327-82852011-04-0136121122810.22004/ag.econ.105550105550Actuarial Impacts of Loss Cost Ratio Ratemaking in U.S. Crop Insurance ProgramsJoshua D. WoodardBruce J. SherrickGary D. SchnitkeyThis study examines the actuarial implications of the loss cost ratio (LCR) ratemaking methodology employed by the Risk Management Agency as a component of base rates for U.S. crop insurance programs, and identifies specific conditions required for the LCR methodology to result in unbiased rates when liabilities trend. Specifically, constant relative yield risk resulting in growing absolute variance through time and other restrictive requirements are required for the LCR to result in unbiased rates. These requirements are tested against a large farm-level data set for Illinois corn. Our findings indicate that the conditions required for appropriate use of the LCR methodology are violated for this high premium volume market, resulting in large implied rate biases. The process does not correct itself through time with the addition of longer rating periods as sometimes claimed. A simple correction function is suggested and demonstrated.https://ageconsearch.umn.edu/record/105550actuarial fairnesscrop insuranceinsurance ratingloss cost ratiorisk growthrisk management agencyyield trends
collection DOAJ
language English
format Article
sources DOAJ
author Joshua D. Woodard
Bruce J. Sherrick
Gary D. Schnitkey
spellingShingle Joshua D. Woodard
Bruce J. Sherrick
Gary D. Schnitkey
Actuarial Impacts of Loss Cost Ratio Ratemaking in U.S. Crop Insurance Programs
Journal of Agricultural and Resource Economics
actuarial fairness
crop insurance
insurance rating
loss cost ratio
risk growth
risk management agency
yield trends
author_facet Joshua D. Woodard
Bruce J. Sherrick
Gary D. Schnitkey
author_sort Joshua D. Woodard
title Actuarial Impacts of Loss Cost Ratio Ratemaking in U.S. Crop Insurance Programs
title_short Actuarial Impacts of Loss Cost Ratio Ratemaking in U.S. Crop Insurance Programs
title_full Actuarial Impacts of Loss Cost Ratio Ratemaking in U.S. Crop Insurance Programs
title_fullStr Actuarial Impacts of Loss Cost Ratio Ratemaking in U.S. Crop Insurance Programs
title_full_unstemmed Actuarial Impacts of Loss Cost Ratio Ratemaking in U.S. Crop Insurance Programs
title_sort actuarial impacts of loss cost ratio ratemaking in u.s. crop insurance programs
publisher Western Agricultural Economics Association
series Journal of Agricultural and Resource Economics
issn 1068-5502
2327-8285
publishDate 2011-04-01
description This study examines the actuarial implications of the loss cost ratio (LCR) ratemaking methodology employed by the Risk Management Agency as a component of base rates for U.S. crop insurance programs, and identifies specific conditions required for the LCR methodology to result in unbiased rates when liabilities trend. Specifically, constant relative yield risk resulting in growing absolute variance through time and other restrictive requirements are required for the LCR to result in unbiased rates. These requirements are tested against a large farm-level data set for Illinois corn. Our findings indicate that the conditions required for appropriate use of the LCR methodology are violated for this high premium volume market, resulting in large implied rate biases. The process does not correct itself through time with the addition of longer rating periods as sometimes claimed. A simple correction function is suggested and demonstrated.
topic actuarial fairness
crop insurance
insurance rating
loss cost ratio
risk growth
risk management agency
yield trends
url https://ageconsearch.umn.edu/record/105550
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AT garydschnitkey actuarialimpactsoflosscostratioratemakinginuscropinsuranceprograms
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