This paper aims at comparing results between the circular Malmquist index (CMI) and the variable returns to scale Malmquist index (VRS-MI) from an even panel data. Based on the ground theory, the study purposefully uses comparative discussion on above mentioned methods. The contribution of the paper is on applied feature of using different methods at the same data set. The results of the study ...

The variable returns to scale data envelopment analysis (DEA) model is developed with a maintained hypothesis of convexity in input-output space. This hypothesis is not consistent with standard microeconomic production theory that posits an S-shape for the production frontier, i.e. for production technologies that obey the Regular Ultra Passum Law. Consequently, measures of technical efficiency...

performance evaluation of electricity distribution units is an important issue between researchers and regulators. classic data envelopment analysis models with deterministic data have been used by many authors to measure efficiency of power distribution units in different countries. however, data envelopment analysis with stochastic data are rarely used to measure efficiency of distribution co...

Abstract Increasing returns to scale is the basis for many powerful results in economics and economic geography. But limitations of assumptions about growth theories are often ignored when applied This leads an unintentional bias favoring mistaken conclusions geography, growth. Alternatively, this used as a convenient modeling trick by urban economists describe agglomeration economies innovatio...

non-linear time series models have become fashionable tools to describe and forecast stock market returns in recent years. a significant amount of evidence supports a negative relationship between volume and future returns. this suggests that volume could act as a suitable threshold variable in lstar and tar models. in this research, we compared the forecasting ability of lsatr and tar models w...