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Abstract
A dynamic Monte Carlo linear programming model of a cattle ranch in Elko County, Nevada, provided a range of assets under management (AUM) valuations under alternative reductions in public land grazing permits. Employing these ranch level results into a county level input-output model, we derived a range of county economic, employment, and household income impacts for alternative public land policies. Estimation as to possible ranges in AUM valuations and county level economic impacts provides information to policy makers not only during periods of average economic condition but also under unfavorable economic conditions.