On-farm runoff collection through small impoundments (ponds) is a potential irrigation water source. This study evaluates the economic feasibility of such impoundments for supplemental irrigation in the Blacklands region of Texas. This is done using a risk sensitive model which simultaneously considers water supply, irrigation system investment, irrigation scheduling, and crop mix selection. A two-stage, mixed integer, nonlinear mathematical programming model under uncertainty, was used to formulate the problem and solved with Benders' decomposition. Pond-based supplemental irrigation is found to be both risk reducing and net income increasing in the study area. The model results also show off-farm water needs to be worth more than $100 per acre foot to make impoundments undesirable. 10, 249-257, 1987. Tsiang, S.C., The rationale of the mean-standard deviation analysis, skewness preference and the demand for money, Am. Econ. Rev., 62, 354-371, 1972. Yaron, D., and A. Dinar, Optimal allocation of farm irrigation water during peak seasons, Am. J. Agric. Econ., 64, 681-689, 1982. Yeh, W., Reservoir management and operation models: A state-ofthe-art review, Water Resour. Res., 21, 1797-1818, 1985. Ziari, H. A., The economic feasibility of run-off impoundments for supplemental irrigation in Blacklands region of Texas, Ph.D. dissertation, Tex. A&M Univ., College Station, 1991.

This paper uses resampling estimation techniques to develop a statistical mathematical programming model for discriminant analysis problems. Deleted-d jackknife, deleted-d bootstrap, and bootstrap procedures are used to identify statistical significant parameter estimates for a discriminant mathematical programming (MP) model. The results of this paper indicate that the resampling approach is a viable model selection technique. Furthermore, estimating the MP models via resampling techniques can also improve the classification performance compared to a deterministic discriminant MP model. In this study, the deleted-d jackknife procedure was the most promising among the resampling estimation techniques examined. Copyright 1997, Oxford University Press.

A spatial, intertemporal equilibrium model of the North American dry onion economy is constructed to analyze the impact of liberalized U.S.-Mexico trade. In a free-trade environment, exports of Mexican onions to the U.S. are projected to increase about 50%, while Mexico's share of the U.S. market increases from 8.7 to 12.8%. Farm-level prices in the U.S. are projected to decline 8.9%, while production declines 2.4%. The effect of free trade on U.S. producers is disproportional across regions. Northwest storage onion producers experience the greatest decline in production; however, analysis suggests that improved storage methods may offset a portion of the unfavorable impacts of liberalized trade on these producers. In spite of the unfavorable impact of free trade on U.S. dry onion producers, the industry would not be economically devastated.

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