Measuring productivity in an imperfect world

Abstract

Most measures of multifactor productivity (MFP) assume constant returns to scale and perfect competition. Using a general aggregate production function together with duality theory and allowing for the possibilities of disequilibrium, markups and economies of scale, the study derives a more generalized MFP measure. The model was used to assess the economic performance in US manufacturing for the 1949 to 1988 period. The results suggest that scale and markups have substantial power in explaining MFP growth for all periods and that half of the measured MFP growth (as measured within the conventional framework) comes from biases due to scale economies, market power, and interaction effects.