Estimating temperature impacts on perennial crop losses in California: Insights from insurance data

Jisang Yu and Gyuhyeong Goh

Applied Economic Perspectives and Policy, 2022, vol. 44, issue 3, 1409-1423

Abstract: This study provides a novel empirical framework for estimating the effects of temperature on the production of several tree crops in California by using underused insurance data and a variable selection technique. We utilize a Bayesian variable selection technique to select relevant temperature variables. We then use the selected temperature variables to assess the temperature effects on crop losses. We find that a greater length to freeze exposure increases crop losses and relatively smaller roles of chill hours and heating hours. We also find the heterogeneity of the effects across insurance coverage levels.

Date: 2022
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https://doi.org/10.1002/aepp.13222

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Persistent link: https://EconPapers.repec.org/RePEc:wly:apecpp:v:44:y:2022:i:3:p:1409-1423

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