Testing for Nonnormality in Farm Net Returns

Cash returns from farming are expected to be nonnormally distributed under a wide range of joint price-yield distributions. Adequate testing for such nonnormality requires use of proper whitening procedures as well as appropriate statistics. With tests and sample sizes commonly employed, a false imputation of normality often will be made. However, positive correlation between skewness and kurtosis reduces the likelihood of associated decision errors. These results are illustrated with data for irrigated alfalfa and dryland wheat.

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