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Octavio A. Ramirez

Researcher at New Mexico State University

Publications -  16
Citations -  113

Octavio A. Ramirez is an academic researcher from New Mexico State University. The author has contributed to research in topics: Crop insurance & Probability distribution. The author has an hindex of 6, co-authored 16 publications receiving 109 citations. Previous affiliations of Octavio A. Ramirez include Texas Tech University.

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Ranking Crop Yield Models: A Comment

TL;DR: In this paper, 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, and 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.
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Can Crop Insurance Premiums be Reliably Estimated

TL;DR: In this article, the accuracy of crop insurance rating methods based on historical liability and indemnity data (similar to the procedure currently used by the Risk Management Agency) and yield distribution approaches are compared to "true" rates using empirically-grounded simulation procedures that take into account common data availability constraints.
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Can Crop Insurance Premiums Be Reliably Estimated

TL;DR: In this paper, the authors developed and applied a methodology to assess the accuracy of historical loss-cost rating procedures, similar to those used by the U.S. Department of Agriculture's Risk Management Agency (RMA), versus alternative parametric premium estimation methods.
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Economic value of the carbon sink services of tropical secondary forests and its management implications

TL;DR: In this paper, the economic feasibility of secondary forest regeneration and conservation as an alternative in the campaign addressing the problem of global warming is explored, and detailed measurements of tropical secondary forests over time, in different ecological zones of Costa Rica, are used to evaluate carbon storage models.
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Empirically Evaluating the Flexibility of the Johnson Family of Distributions: A Crop Insurance Application

TL;DR: This article examined the flexibility of the Johnson system of distributions by assessing its performance in terms of modeling crop yields for the purpose of setting actuarially fair crop insurance premiums, using data from corn farms in Illinois coupled with Monte Carlo simulation procedures.