Econometric identification of crop insurance participation
Francis Tsiboe and
Dylan Turner ()
Agricultural and Resource Economics Review, 2023, vol. 52, issue 3, 476-497
Abstract:
This paper shows how econometric identification can be improved in studies making use of crop insurance participation as either an independent or dependent variable. The paper provides the reader with a succinct overview of how crop insurance contracts are priced and how to use publicly available data to derive a novel composite crop insurance design parameter that emulates existing crop insurance rating parameters using a procedure that is based on current actuarial practices. The derived design parameter performs well at predicting historic crop insurance loss-cost ratios and satisfies the requirements for an instrumental variable for a variety of empirical applications related to crop insurance. Representative empirical examples are presented where it is shown that the proposed instrument has favorable two-staged least squares diagnostic tests and is effective at eliminating endogeneity bias.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:cup:agrerw:v:52:y:2023:i:3:p:476-497_2
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