A method of evaluating the impact of technical change on productivity in a Farrell-type model is developed here and empirically applied over international airlines data.

A method of measuring the systematic component of dynamic efficiency characterized by Farrell's nonparametric method is developed and empirically applied over airlines data.

Two key element of Schumpeterian dynamics - new innovations in technology and creative destruction - are used here to develop a growth model, which is then applied empirically for two economies: Japan and Korea in their rapid phases of growth.

Two methods of estimating efficiency by cost frontiers are analysed here by way of generalizing Farrell's convex hull method and illustrated by an empirical application.

Empirical estimates of the Lorenz model of chaos are reported here for the conditional variances of returns of selected mutual funds over the period September 1988 to April 1993. These estimates show that chaotic instability may occur with a positive probability.

This article focuses on the measurement of economic efficiency of firms in an industry in a dynamic framework, where R&D investments and learning experience play critical roles. Dynamic aspects of cost and production efficiency and the impact of capital through learning by doing are developed...

Two key elements of Schumpeterian dynamics: new innovations and creative destruction are developed here in a stochastic framework to develop a model of stochastic growth. This model explores the diffucion process and the existence of nonlinearities in technological progress.

A nonparametric method using dynamic data envelopment analysis is developed here to specify and estimate a dynamic production frontier. By this technique technological progress measured by the time shift of the production frontier and the scale economies measured by increasing returns to scale...

Dynamic efficiency of firms involves both optimal investments over time and optimal operating costs in the short run. These two stages are separately but sequentially analysed to compare different firms in an industry using a Pareto optimality criterion.

A nonparametric method is empirically applied here to test the efficiency in performance of mutual fund portfolios. It provides a more flexible and robust alternative to the traditional mean variance theory.