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Get your projects done.
  • Home
  • Knowledge Tank
    • Modules
      • Data envelopment analysis or DEA
      • Analyse with STATA
      • Analyze qualitative data with Nvivo
      • Analyze quantitative data with SPSS
      • Proposing research methodology
      • Text data analysis with Hamlet II
      • Supervised learning
      • Mendeley to organise references
      • Comprehensive meta-analysis
    • Insights
      • The two faces of FDI
      • Epidemiology of healthcare
      • The volatility of the real estate industry
    • Expert advice
      • Research selection
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      • Literature review
      • Data analysis
    • Industries
      • Banking and finance
      • Microfinance
      • Power and energy
      • Pharmaceutical
      • AYUSH
  • Services
    • Research analysis
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      • Qualitative
      • Situation
      • Secondary
    • Historical analytics
      • Segmentation
      • Trend analysis
      • Data mining
      • Data modelling
    • Research paper
      • Literature survey
      • Research methodology
      • Thesis writing
      • Journal writing
      • Research proposal
      • Dissertation writing
      • Proofreading
      • PowerPoint design
  • Help
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Challenges of using DEA-Solver for data envelopment analysis

By Divya Narang and 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.

 DEA module, getting started with DEA

Overcome common challenges in GM (1,1) modelling using MS Excel

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

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

 dea cost efficiency, DEA module

Slacks based measure or SBM analysis in DEA

By Rashmi Sajwan and Avishek Majumder 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).

 DEA module, measuring returns to scale with dea

MALMQUIST index summaries interpretations from DEA

By Avishek Majumder and 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.

 DEA module, malmquist dea, result interpretation

Interpreting cost efficiency or cost DEA of banks using DEAP

By Avishek Majumder and Priya Chetty on December 24, 2017 No 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.

 dea cost efficiency, DEA module

Executing and interpreting cost efficiency of banks through VRS cost DEA

By Avishek Majumder and 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).

 dea cost efficiency, DEA module

Executing cost DEA of banks using Data Envelopment Analysis Program (DEAP)

By Avishek Majumder and 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).

 dea cost efficiency, DEA module

MALMQUIST productivity Index test of the healthcare sector in India

By Avishek Majumder and 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.

 DEA module, malmquist dea, result interpretation
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