Exploiting the Relationship between Farm-Level Yields and County-Level Yields for Applied Analysis

County-level yield data are used in applied research and crop insurance policy in place of farm-level yield data, which are likely sparse, not broadly representative, and subject to selection bias. We exploit the fact that county-level yields are the aggregate of farm-level yields to derive bounds t...

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Bibliographic Details
Main Authors: Scott Gerlt, Wyatt Thompson, Douglas Miller
Format: Article
Language:English
Published: Western Agricultural Economics Association 2014-08-01
Series:Journal of Agricultural and Resource Economics
Subjects:
Online Access:https://ageconsearch.umn.edu/record/186590
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author Scott Gerlt
Wyatt Thompson
Douglas Miller
author_facet Scott Gerlt
Wyatt Thompson
Douglas Miller
author_sort Scott Gerlt
collection DOAJ
description County-level yield data are used in applied research and crop insurance policy in place of farm-level yield data, which are likely sparse, not broadly representative, and subject to selection bias. We exploit the fact that county-level yields are the aggregate of farm-level yields to derive bounds that can be reduced to direct relationships between county- and farm-level yields under certain conditions. Simulation experiments indicate that crop insurance premium estimates derived from this method have the potential for bias in certain conditions but are reasonably precise in other conditions, suggesting that these relationships are a new tool for applied analysts.
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spelling doaj.art-7258641d38f24a99b3a3052910503bb92022-12-21T22:49:14ZengWestern Agricultural Economics AssociationJournal of Agricultural and Resource Economics1068-55022327-82852014-08-0139225327010.22004/ag.econ.186590186590Exploiting the Relationship between Farm-Level Yields and County-Level Yields for Applied AnalysisScott GerltWyatt ThompsonDouglas MillerCounty-level yield data are used in applied research and crop insurance policy in place of farm-level yield data, which are likely sparse, not broadly representative, and subject to selection bias. We exploit the fact that county-level yields are the aggregate of farm-level yields to derive bounds that can be reduced to direct relationships between county- and farm-level yields under certain conditions. Simulation experiments indicate that crop insurance premium estimates derived from this method have the potential for bias in certain conditions but are reasonably precise in other conditions, suggesting that these relationships are a new tool for applied analysts.https://ageconsearch.umn.edu/record/186590agricultural riskcrop insurancecrop yield distributions
spellingShingle Scott Gerlt
Wyatt Thompson
Douglas Miller
Exploiting the Relationship between Farm-Level Yields and County-Level Yields for Applied Analysis
Journal of Agricultural and Resource Economics
agricultural risk
crop insurance
crop yield distributions
title Exploiting the Relationship between Farm-Level Yields and County-Level Yields for Applied Analysis
title_full Exploiting the Relationship between Farm-Level Yields and County-Level Yields for Applied Analysis
title_fullStr Exploiting the Relationship between Farm-Level Yields and County-Level Yields for Applied Analysis
title_full_unstemmed Exploiting the Relationship between Farm-Level Yields and County-Level Yields for Applied Analysis
title_short Exploiting the Relationship between Farm-Level Yields and County-Level Yields for Applied Analysis
title_sort exploiting the relationship between farm level yields and county level yields for applied analysis
topic agricultural risk
crop insurance
crop yield distributions
url https://ageconsearch.umn.edu/record/186590
work_keys_str_mv AT scottgerlt exploitingtherelationshipbetweenfarmlevelyieldsandcountylevelyieldsforappliedanalysis
AT wyattthompson exploitingtherelationshipbetweenfarmlevelyieldsandcountylevelyieldsforappliedanalysis
AT douglasmiller exploitingtherelationshipbetweenfarmlevelyieldsandcountylevelyieldsforappliedanalysis