Measuring Input Substitution and Output Expansion Effects: A Nonparametric Approach with Application.

A simple framework is developed for measuring input substitution and output expansion effects. These measures are nonparametric in the sense that specification and/or estimation of any parametric functions are not required. Monte Carlo experiments performed in the paper demonstrate the superiority of the proposed approach. An empirical application to Japanese manufacturing data yields results which satisfy a priori expectations.