Many empirical studies of production specify a deterministic model of the firm, derive the implied behavioral equat ions (input demand or share system), and then "embed this system in a stochastic framework" by tacking on linear error terms. In contras t, this paper proposes general error models (GEMs) in which the error specification is an integral part of the optimization model. These m odels are the statistical embodiment of Stigler's view that apparent observed inefficiencies reflect the investigator's ignorance of the t rue optimization problems. Additive GEMs are proposed and interpreted Specification tests indicate that a translog additive GEM is superi or to the standard translog specification.

With scarcely a notice from the press and but little attention from public men, except those concerned in preparing the legis? lation, there was passed in Congress, in June, 1920, an act which is bound to have a great and growing influence in the general industrial development of the United States and in the extent to which the states and their various municipalities will accept the opportunities offered of controlling their own public services. This act creates what is known as the Federal Power Commission.