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Using trout producer survey data and the contingent valuation method, we estimate willingness to pay for a potential insurance policy. The survey was conducted in 2005 across the United States; 268 producers completed the survey instrument, resulting in a response rate of 81 percent. Design of the contingent valuation method takes into account two coverage… (More)
Using a non-parametric linear programming approach, our contribution is (1) to examine the impact of incorporating risk in efficiency analysis and (2) to compare the efficiency measures with and without risk for continuous and rotation cropping systems. The model uses Nebraska cropping system data for the period, 1986-2000. Results indicate lower efficiency… (More)
Copyright 2005 by Seanicaa Edwards, Albert J. Allen and Saleem Shaik. All rights reserved. Readers may make verbatim copies of this document for non-commercial purposes by any means, provided that this copyright notice appears on all such copies.
This paper addresses the issue of the shadow price of environmental bads treated as an undesirable output (normal input) with weak (strong) disposability in a two-stage estimation. Nebraska agriculture sector time series data is spread over 1936-94. Results indicate the difference in the price due to the disposability property. 1 Selected Paper, American… (More)
This thesis estimates the production, cost, and profit functions for North Dakota agriculture using state-level input-output quantity and price data for the period 1960-2004. A Cobb-Douglas functional form with Hick-neutral technology change is used to measure the contribution of capital, land, labor, materials, energy, and chemical inputs quantities and… (More)
Readers may make verbatim copies of this document for non-commercial purposes by any means, provided that this copyright notice appears on all such copies.
Acknowledgments The authors extend appreciation to Cheryl Wachenheim and Siew Lim for the constructive comments and suggestions. Special thanks go to Edie Watts who helped prepare the manuscript. The authors assume responsibility for any errors of omission, logic, or otherwise.