Asymmetric Grading Error and Adverse Selection: Lemons in the California Prune Industry

Grading systems are often introduced to address the classic adverse selection problem associated with asymmetric information about product quality. However, grades are rarely measured perfectly, and adverse selection outcomes may persist due to grading error. We study the effects of errors in gradin...

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Main Authors: James A. Chalfant, Jennifer S. James, Nathalie Lavoie, Richard J. Sexton
Format: Article
Language:English
Published: Western Agricultural Economics Association 1999-07-01
Series:Journal of Agricultural and Resource Economics
Subjects:
Online Access:https://ageconsearch.umn.edu/record/30878
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author James A. Chalfant
Jennifer S. James
Nathalie Lavoie
Richard J. Sexton
author_facet James A. Chalfant
Jennifer S. James
Nathalie Lavoie
Richard J. Sexton
author_sort James A. Chalfant
collection DOAJ
description Grading systems are often introduced to address the classic adverse selection problem associated with asymmetric information about product quality. However, grades are rarely measured perfectly, and adverse selection outcomes may persist due to grading error. We study the effects of errors in grading, focusing on asymmetric grading errors- namely when low-quality product can erroneously be classified as high quality, but not vice versa. In conceptual model, we show the effects of asymmetric grading errors on returns to producers. Application to the California prune industry shows that grading errors reduce incentives to produce more valuable, larger prunes.
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spelling doaj.art-e53e0abe667f4438bbd63997b95f39b92022-12-22T03:13:15ZengWestern Agricultural Economics AssociationJournal of Agricultural and Resource Economics1068-55022327-82851999-07-01241577910.22004/ag.econ.3087830878Asymmetric Grading Error and Adverse Selection: Lemons in the California Prune IndustryJames A. ChalfantJennifer S. JamesNathalie LavoieRichard J. SextonGrading systems are often introduced to address the classic adverse selection problem associated with asymmetric information about product quality. However, grades are rarely measured perfectly, and adverse selection outcomes may persist due to grading error. We study the effects of errors in grading, focusing on asymmetric grading errors- namely when low-quality product can erroneously be classified as high quality, but not vice versa. In conceptual model, we show the effects of asymmetric grading errors on returns to producers. Application to the California prune industry shows that grading errors reduce incentives to produce more valuable, larger prunes.https://ageconsearch.umn.edu/record/30878adverse selectiongrading errorsproduct qualityprunes
spellingShingle James A. Chalfant
Jennifer S. James
Nathalie Lavoie
Richard J. Sexton
Asymmetric Grading Error and Adverse Selection: Lemons in the California Prune Industry
Journal of Agricultural and Resource Economics
adverse selection
grading errors
product quality
prunes
title Asymmetric Grading Error and Adverse Selection: Lemons in the California Prune Industry
title_full Asymmetric Grading Error and Adverse Selection: Lemons in the California Prune Industry
title_fullStr Asymmetric Grading Error and Adverse Selection: Lemons in the California Prune Industry
title_full_unstemmed Asymmetric Grading Error and Adverse Selection: Lemons in the California Prune Industry
title_short Asymmetric Grading Error and Adverse Selection: Lemons in the California Prune Industry
title_sort asymmetric grading error and adverse selection lemons in the california prune industry
topic adverse selection
grading errors
product quality
prunes
url https://ageconsearch.umn.edu/record/30878
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AT jennifersjames asymmetricgradingerrorandadverseselectionlemonsinthecaliforniapruneindustry
AT nathalielavoie asymmetricgradingerrorandadverseselectionlemonsinthecaliforniapruneindustry
AT richardjsexton asymmetricgradingerrorandadverseselectionlemonsinthecaliforniapruneindustry