Crop insurance valuation under alternative yield distributions.

By Fábio Zanini, B. Sherrick, G. Schnitkey, Scott H. Irwin. 2004

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Using Bayesian Kriging for Spatial Smoothing in Crop Insurance Rating (2018, unknown): “ies have considered a wide variety of crop yield distributions such as the beta distribution (Nelson and Preckel 1989; Tirupattur, Hauser, and Chaherli 1996), the log-normal distribution (Tirupattur, Hauser, and Chaherli 1996; Jung and Ramezani 1999; Stokes 2000), normal (Just and Weninger 1999), lo”
More than Mean Effects: Modeling the Effect of Climate on the Higher Order Moments of Crop Yields (2012, unknown): “More recently, Sherrick et al. (2004) considers several alternative parametric yield specifications that have been suggested as candidates by previous work or empirical evidence.”
Performance of detrending models of crop yield risk assessment: evaluation on real and hypothetical yield data (2014, methodology): “…assessment and insurance pricing adopts the common practice of decomposing historical crop yield into two components (e.g. Goodwin and Ker 1998; Sherrick et al. 2004): y ¼ yþ e: ð1Þ y denotes the technical yield, defined as the potential crop yield under average weather conditions, in the…”