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Xu, Wei; Filler, Gunther; Odening, Martin; Okhrin, Ostap - 2009

Systemic weather risk is a major obstacle for the formation of private (nonsubsidized)crop insurance. This paper explores the possibility of spatial diversification of insurance by estimating the joint occurrence of unfavorable weather conditions in different locations.For that purpose copula...

Persistent link: https://www.econbiz.de/10009444681

On the Systemic Nature of Weather Risk

Xu, Wei; Filler, Gunther; Odening, Martin; Okhrin, Ostap - 2009

Systemic weather risk is a major obstacle for the formation of private (nonsubsidized) crop insurance. This paper explores the possibility of spatial diversification of insurance by estimating the joint occurrence of unfavorable weather conditions in different locations. For that purpose copula...

Persistent link: https://www.econbiz.de/10009444820

Adoption and economic impact of water conservation and intensification methods on input demand, output supply, and net returns in lowland rice production of northern Ghana

Andrea Liane Linda Faltermeier - 2009

present study analyzes the adoption decision and the impact of bund technology and dibbling method on fertilizer demand … significant effect on fertilizer demand, as well as a positive, but insignificant impact on output supply and net returns …. Adopters of dibbling appear to have higher rice yields, while no significant difference in net returns and fertilizer demand …

Persistent link: https://www.econbiz.de/10009428974

Optimal Design of Weather Bonds

Xu, Wei; Odening, Martin; Musshoff, Oliver - 2008

Replaced with revised version of paper 06/17/08.

Persistent link: https://www.econbiz.de/10009443196

Modeling Dependence in the Design of Whole Farm---A Copula-Based Model Approach

Zhu, Ying; Ghosh, Sujit K.; Goodwin, Barry K. - 2008

The objective of this study is to evaluate and model the risks of corn and soybean production. This study focuses on the risk of revenue variability that arises from changes in prices, yields shortfalls or both. There are several models for price and yield risk factors for corn and soybeans. For...

Persistent link: https://www.econbiz.de/10009443274

Modeling Crop prices through a Burr distribution and Analysis of Correlation between Crop Prices and Yields using a Copula method.

Tejeda, Hernan A.; Goodwin, Barry K. - 2008

Replaced with revised version of paper 07/18/08.

Persistent link: https://www.econbiz.de/10009443297

Evaluating yield models for crop insurance rating

Lanoue, Christopher - 2010

Crop insurance performance and loss rates depend directly on underlying crop yield distributions. However, there still exists much debate about how to represent the underlying crop yield distributions. Using farm-level corn and soybean yields from 1972-2008, this study examines in-sample...

Persistent link: https://www.econbiz.de/10009477865

YIELD GUARANTEES AND THE PRODUCER WELFARE BENEFITS OF CROP INSURANCE

Adhikari, Shyam; Knight, Thomas O.; Belasco, Eric J. - 2010

Crop yield and revenue insurance products with coverage based on actual production history(APH) yields dominate the U.S. Federal Crop Insurance Program. The APH yield, which plays acritical role in determining the coverage offered to producers, is based on a small sample ofhistorical yields for...

Persistent link: https://www.econbiz.de/10009446133

Average Crop Revenue Election (ACRE) Program or Traditional Government Payment Programs: What Factors Matter?

Chen, Yunguang; Wang, H. Holly; Patrick, George F. - 2010

Rankings of different risk management portfolios including Average Crop Revenue Election (ACRE), traditional government payment programs, crop insurance and hedging in futures; and optimal choices of insurance coverage levels and hedge ratios are evaluated for a representative central Indiana...

Persistent link: https://www.econbiz.de/10009446135

Evaluating Yield Models for Crop Insurance Rating

Lanoue, Christopher; Sherrick, Bruce J.; Woodard, Joshua D. - 2010

Generated crop insurance rates depend critically on the distributional assumptions of theunderlying crop yield loss model. Using farm level corn yield data from 1972-2008, we revisitthe problem of examining in-sample goodness-of-fit measures across a set of flexibleparametric, semi-parametric,...

Persistent link: https://www.econbiz.de/10009446157