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Your certificate is now private
![CertificateBackground.png](https://static.wixstatic.com/media/55f531_d6679d5b06e14c81ae07bacb53692d5f~mv2.png/v1/fill/w_714,h_536,al_c,q_90,usm_0.66_1.00_0.01,enc_auto/CertificateBackground.png)
Certificate of Completion
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THIS ACKNOWLEDGES THAT
HAS COMPLETED THE SPRING 2023 DATA SCIENCE BOOT CAMP
Jonathon Siegle
Roman Holowinsky, PhD
JUNE 07, 2023
DIRECTOR
DATE
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TEAM
Correlated Losses in Federal Crop Insurance
Jonathon Siegle, Victor Gardner
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The USDA keeps public data on the federal crop insurance program, and serves as a trove of agricultural data, albiet with messy inter-relations and endogeneity problems. Cross-crop correlations in losses are useful to investigate for both portfolio and actuarial purposes. This project explores models to find key explanatory variables, including crop pairs with correlated indemnities.
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![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/a994932411404ef3bb797ba005125f5d.png)
![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/a994932411404ef3bb797ba005125f5d.png)
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