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Abstract
Data envelopment analysis (DEA) is proposed as an alternative to ordinary least squares (OLS) in the explanation of cause-effect/input-output relationships. Use of DEA permits efficiency frontiers to be located and the magnitudes of inefficiencies to be estimated, as raw materials for further exploratory inquiry. The method is applied to the relationships between personal computer deployment, urbanization, and economic development.