Abstract
In this paper we discuss the inverse data envelopment analysis (DEA) in framework of dynamic DEA. This discussion is based on extending the non-radial enhanced Russell measure (ERM) model to framework of dynamic DEA. Also, necessary and sufficient conditions are established to characterising dynamically efficient paths using dynamic ERM-model. Simultaneous estimation of input and output levels are studied using ERM-model under inter-temporal dependence assumption. Necessary and sufficient conditions for simultaneous estimation of input and output levels are introduced based on Pareto solutions of multiple-objective linear programming problems. In addition, the performance of the proposed method is illustrated through an example in banking sector.
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