Value and quantity data in economic and technical efficiency measurement

This paper calls attention to the implications of using value data in efficiency measurement through Data Envelopment Analysis (DEA). The main contributions are twofold: (i) it provides a reconciliation of the previous literature on analysing issues of quantity and value data in efficiency measurement, (ii) it provides some guidelines on what to do, when these issues arise in a data set.