Tag: DEA module

By Divya Narang & Priya Chetty on January 20, 2019 1 Comment

From the process of installation of DEA-Solver to the computation of the analysis, the DEA process undergoes a various set of challenges. The first challenge incurs at the time of the installation itself, as it requires to be manually included in MS Excel.

 ,
By Avishek Majumder & Priya Chetty on October 29, 2018 3 Comments

GM (1,1) modeling is a popular grey forecasting method because of its computational efficiency. There are many challenges in GM (1,1) modeling, but they are solvable using MS Excel. This article is a detailed guide on how to overcome these challenges.

 ,
By Avishek Majumder & Rashmi Sajwan on September 19, 2018 No Comments

Slacks based measure or SBM analsysis is a non-radial model to solve the problem in the “additive model” developed by Charnes, Cooper, & Rhodes in 1978. This model can discriminate between efficient and inefficient Decision-Making Units (DMU).

 ,
By Avishek Majumder & Priya Chetty on December 24, 2017 1 Comment

This article, discusses and interprets the rest of the results from Malmquist DEA. Furthermore, the analysis of Malmquist index summaries for both output and input frontiers are interpreted.

 , ,
By Avishek Majumder & Priya Chetty on December 24, 2017 2 Comments

Differences between Multi-stage and Cost- data envelopment analysis (DEA) was also discussed. However, the article will only interpret the results from cost efficiency analysis from the constant returns to scale (CRS) frontier.

 ,
By Avishek Majumder & Priya Chetty on December 24, 2017 1 Comment

In the previous article, discussed and interpreted the findings of cost efficiency using constant returns to scale (CRS) Cost Data Envelopment Analysis (DEA).

 ,
By Avishek Majumder & Priya Chetty on December 23, 2017 No Comments

The cost efficiency analysis or cost data envelopment analysis or cost DEA is evaluated when information on prices and costs are available from the source of the data collected for input and output variables (Cooper, Seiford, & Zhu, 2011).

 ,
By Avishek Majumder & Priya Chetty on December 6, 2017 No Comments

Malmquist productivity index evaluates the efficiency change over time as mentioned by Färe, Grosskopf, & Margaritis, (2011). However, Malmquist productivity index literature has been uneven with some authors assuming constant returns to scale and others allowing for variable returns to scale.

 , ,