3,673 works, 150 years of economic thought. Each one summarized and searchable, with cited passages inside.
An optimal cropping plan calculated from average yields leaves a farmer’s exposure to poor outcomes unresolved. M. M. Babbar, Gerhard Tintner, and Earl O. Heady address that gap by attaching probability estimates to a linear-programming solution for an Iowa farm. Their example turns on seasonal labor bottlenecks: corn and flax offer the best return under mean input coefficients, but historical yield variation changes the range of possible production and revenue. The article shows how lower profit bounds might help distinguish equally profitable plans, while making its restrictive assumptions explicit—small, normally distributed coefficient errors and, in the numerical application, fixed prices. Readers can examine a concrete attempt to connect resource optimization with downside risk, rather than treating a calculated optimum as a sufficient basis for decision.