RESEARCH METHODOLOGY WORKSHOP USING STATA

The three-day workshop on Research Methodology for MSc Economics & Analytics students commenced with an engaging introduction to the fundamental concepts and theoretical framework, by Dr. Tiny S Palathara. After the introduction, the first session on principles of research methodology was done by external resource person Mr. Ashraf Pulikkamath. The session fostered extensive discussions, encouraging active participation from the students. Through interactive exchanges, the core ideas behind economic research were explored, allowing students to develop a comprehensive understanding of the research process, research design, and various research methods commonly employed in economics and analytics.

A significant aspect of the workshop was the group discussion wherein students had the opportunity to present their research projects. The session facilitated critical evaluation and feedback, enabling students to gain valuable insights and enhance their understanding of their respective fields of research. Through this exercise, students acquired a clear understanding of the importance of a well- designed research framework.

Another focal point of the workshop was the selection and implementation of appropriate economic models for research projects. In this session, students were introduced to different types of economic models, the assumptions underlying these models, and the interpretation of model results. Through theoretical explanations and practical examples, students developed proficiency in identifying and utilizing suitable economic models for their research endeavors.

Hands-on sessions using statistical software were conducted to reinforce the theoretical concepts covered in the workshop. These sessions provided students with the opportunity to apply the learned techniques to real-world datasets and research scenarios. By actively participating in these sessions, students were able to translate theoretical knowledge into practical skills, fostering their growth and proficiency in research methodology.

A key highlight of the workshop was the comprehensive understanding of regression analysis, a widely utilized statistical technique in economics. Students learned to perform regression analyses using the statistical software STATA. Through practical exercises, they acquired the skills necessary to interpret regression results and draw meaningful conclusions from empirical data. This enhanced competence in regression analysis equips students with a valuable tool to analyze and derive insights from empirical research findings.

Activities during the event:

1. Group Discussion: A significant part of the workshop involved conducting group discussions. The interactive nature of these discussions fostered valuable insights and allowed students to enhance their understanding of their respective research fields.

2. Working with IBM SPSS: A dedicated session was conducted to familiarize students with the IBM SPSS software. Students learned about the functionalities of the software and its application in statistical analysis.

3. Working with Stata: This session provided students with practical experience in handling economic data within the Stata software environment. Through real-world exercises, students gained proficiency in using Stata for data analysis, regression modeling, and interpretation of results.

Outcome of the event:

The workshop aimed to achieve several outcomes for the participating students. By the end of the three-day workshop, the students successfully achieved the following outcomes:

1. Acquired Practical Skills in Research Methodology

Through the combination of theoretical sessions and hands-on exercises, students gained a comprehensive understanding of research methodology and its practical application.

2. Developed Proficiency in Economic Modeling

The workshop equipped students with the ability to select and implement appropriate economic models for their research projects. This proficiency in economic modeling will enhance the quality and validity of their research work.

3. Enhanced Competence in Regression Analysis

The hands-on sessions using STATA software enabled them to apply regression techniques to real-world datasets. Students learned to assess the statistical significance of variables, identify relationships between variables, and draw meaningful conclusions from regression outputs.

The Research Methodology workshop for MSc Economics & Analytics students provided an enriching learning experience. The combination of group discussions and hands-on sessions with statistical software provided a well-rounded learning experience for the students