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Ranking Crop Yield Models: A Comment
Author(s) -
Ramírez Octavio A.,
McDonald Tanya
Publication year - 2006
Publication title -
american journal of agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.949
H-Index - 111
eISSN - 1467-8276
pISSN - 0002-9092
DOI - 10.1111/j.1467-8276.2006.00919.x
Subject(s) - ranking (information retrieval) , parametric statistics , generalization , computer science , key (lock) , parametric model , econometrics , probability distribution , yield (engineering) , function (biology) , specification , statistics , mathematics , machine learning , mathematical analysis , materials science , computer security , evolutionary biology , metallurgy , biology
This comment discusses key specification issues that may have affected the performance and, therefore, the ranking of parametric models that were compared in a recent AJAE article. A procedure to obtain the most flexible parametric model specification possible, given the particular probability distribution function on which the model is based is presented. These specifications also allow for standardized and, therefore, more valid comparisons across parametric models that are based on different probability distributions. Finally, the comment cautions against generalization of the rankings in that AJAE article and recommends that these more flexible specifications be adopted in future comparisons and applications.