evaluate the performance of companies on the stock exchange using non-parametric methods is very important. dea and dea-r with the strategies for piecewise linear frontier production function and use of available data, assess the stock company. in this study, using a neural network algorithm dea and dea-r is suggested to classify the first companies in the stock exchange; secondly, using the co...

We derive alternative sufficient conditions for the value of public information to be either positive or negative in a Cournot duopoly where firms technology exhibits constant returns to scale.  2003 Elsevier Inc. All rights reserved. JEL classification: C72; D43; L13

This paper examines inability of CCR and BCC models in improving DMU’s scale efficiency when a production possibility frontier is assumed as variable returns to scale. This paper also finds that DEA result can be more efficient than the Pareto-efficiency when a DMU is feasibly projected to be both technically and scale efficient. This feasible projection can only be achieved by a VRS DEA model ...

recent study examines the impact of good governance on the human development index. in the present study, the human development index (hdi) considered as dependent variable, good governance is independent variables and the development of communication technology has been considered as the moderator variable. the study approach is econometric panel data analysis and gls regression analysis was u...

In this paper, the financial efficiency of football clubs in English Premier League during 2016-17 season is determined. From a methodological perspective, we use Data Envelopment Analysis (DEA), a deterministic nonparametric frontier method. In particular, variable returns to scale and slack based measure are employed to assess whether teams are spending more resources than they need to achiev...

The paper presents a formal analysis which incorporates returns to transportation into a Ricardian framework to predict trade patterns. The important point to be gained from this analysis is that increasing returns to transportation, coupled with appropriate distances between trading partners can be shown to reverse Ricardian predictions even when there are no international differences in taste...

Data envelopment analysis (DEA) provides an optimization methodology for deriving an efficiency score for each member of a set of peer decision-making units. Under the original DEA model it was assumed that there is constant returns to scale (CRS). This idea was later extended to the more general case that allowed for variable returns to scale (VRS). In both of these structures, it is assumed t...