Identify whether increasing, constant or decreasing returns to scale hold locally for units efficient under variable returns to scale Ĭompute Malmquist productivity indices and their decomposition into boundary shift and efficiency catch-up.
With PIM-DEA, a user can easily handle most tasks such as, for modeling see Charnes et al (1978), Emrouznejad et al (2008), Thanassoulis (2001), Emrouznejad and De Witte (2010), Thanassoulis et al (2004), Thanassoulis et al (2008):Īssessment of units under constant or variable returns to scale Īssessment of units under non-increasing or non-decreasing returns to scale Īssessment of units with restrictions on the input /output weights Įstimate performance targets with varying priorities over the improvement of inputs and outputs Īssess some units when some variables are exogenously fixed and returns to scale are variable Īssess the super efficiency of units, including automated identification of units above a user-specified efficiency threshold, their removal and re-assessment of the remaining units
