We show that an organization's technical efficiency scores are biased downward by linear aggregation of the quantities of the same type of output that are produced by multiple subunits (intra-output aggregation). We expand the models of Fare et al. (2002, 2004) and Barnum and Gleason (2005) to...

This article addresses Data Envelopment Analysis (DEA) efficiency analysis in organizations with multiple production processes. It shows how to measure the impact on an organization's overall efficiency of (a) inefficient and superefficient subunits and (b) the efficiency with which input...

The study shows that technical efficiency scores in Data Envelopment Analysis are biased by linear aggregation of the quantities of the same type of input that are used by all outputs (intra-input aggregation). Fare et al. 's (2004) models are expanded to account for this additional bias, and...

Building on Data Envelopment Analysis technical efficiency models developed by Fare et al. (2004) and Barnum and Gleason (2005), a procedure is illustrated for estimating a firm's efficiency in allocating inputs among the production technologies producing its outputs.