Productivity Analysis of U.S. Manufacturing Using a Stochastic-Coefficients Production Function
论证随机系数生产函数比固定系数函数更通用，并用两种柯布-道格拉斯函数估算1955-1982年美国多个制造业部门的生产率变化，随机系数估计的代数符号全部正确，而固定系数部分有误。
In this article, we show that the production, aggregation, and estimation theories that lead to a stochastic-coefficients production function are more general than those leading to a fixed-coefficients production function. Estimates of productivity changes implied by these two types of Cobb–Douglas production functions are compared for several U.S. manufacturing sectors for the period 1955–1982. All of the estimates of the stochastic-coefficients Cobb–Douglas function have the right algebraic sign for all industries considered, whereas some of the estimates of its fixed-coefficients counterpart have the wrong sign.