Knowledge that Transforms

A natural generalization of least squares is proposed to estimate parameters in simultaneous linear equations. Full-information maximum likelihood is shown to be identical with this generalization. The extent to which other estimators deviate from the generalization is discussed. A paradox of Strotz is resolved, and application of canonical correlation theory to structural equations is indicated. 1. SUMMARY THIS PAPER compares various estimators of the parameters of linear simultaneous

The question of returns to scale in public utilities is a much debated issue. In this study, the productive process of electricity generation is examined and a modified substitution model is employed, permitting differentiation between returns to scale to labor and to other factors. The method employed here allows us to isolate the impact of technological progress on (steam) electricity generation. We find that increasing returns to scale prevail throughout, and that the main impact of technology was registered during the 1950's. This study covers the period 1937-59.