Category: Learning modules »

How to perform and apply Monte Carlo simulation?

Monte Carlo simulation is an extension of statistical analysis where simulated data is produced. This method uses repeated sampling techniques to generate simulated data. For instance, a regression model analyzes the effect of independent variables X1 and X2 on dependent variable Y. Read more »

Variable returns to scale in DEA and summary of efficiency and slacks

Variable returns to scale (VRS) is a type of frontier scale used in data envelopment analysis (DEA). It helps to estimate efficiencies whether an increase or decrease in input or outputs does not result in a proportional change in the outputs or inputs respectively (Cooper, Seiford, & Zhu, 2011). Read more »

Setting the ‘Time variable’ for time series analysis in STATA

Time series analysis works on all structures of data. It comprises of methods to extract meaningful statistics and characteristics of data. Time series test is applicable on datasets arranged periodically (yearly, quarterly, weekly or daily). This article explains how to set the ‘Time variable’ to perform time series analysis in STATA. Read more »

Output oriented DEA to determine the efficiency of private and public sector banks

The previous article depicts the analysis and interpretation of the Input oriented multi-staged constant returns to scale (CRS). Output oriented multi-staged Constant returns to scale data envelopment analysis (CRS-DEA) is, however, based on a different principle. Read more »

Search and help in MATLAB

MATLAB provides various ways in which a user can access help within the software for better understanding of the functions. Similarly, many search options are provided to search text, characters and functions in the software in order to fix errors and avoid bugs. Read more »

Building special constructs of nested loop in for & while loops in ‘R’

For loops are popular command as it implies that the number of iterations are fixed and are known before applying. R is preferably used for manipulating large sets of data, consisting of matrix, data frames and lists. Nested loop helps in iteration of steps in matrices. Simply put, nested for loop refers to a for loop inside a for loop.  Read more »

Result summarisation using Nvivo,framework matrices

Framework matrices helps to summarize results of Sources material. They provide a grid in the form of rows and columns to condense source materials. A framework matrices grid is displayed in the below figure. Here, the rows represent the case nodes (interviews) and the column represents the themes nodes. Read more »

Multi stage CRS analysis and interpretation of input orientation

In the previous article “Importing the data and defining the variable” the steps for data extraction and execution of results were discussed. Here, the findings for Multi-stage based CRS (constant returns to scale) are extracted and analyzed and presented. The findings and the interpretations are on the basis of input-oriented multi-staged CRS Data Envelopment Analysis. Input variables are Total Capital and Deposits while the output variables are Total loans and Profits. Read more »

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