An introduction to Basic Econometrics

The PG Department of Economics organized A Special lecture on “AN INTRODUCTION TO BASIC TO ECONOMETRICS” on November 29, 2025.

Venue: MBA Conference Hall, PG Block
Resource Person: Dr. Premkumar,

Professor of Economics

PG Department of Economics

Sir M V PG Centre

Mandya

OBJECTIVES OF THE SPECIAL LECTURE

• To introduce postgraduate students to the fundamental concepts of econometrics.
• To enhance students’ understanding of how statistical tools are applied in economic analysis.
• To equip learners with the basic skills required to conduct empirical research.
• To promote the use of quantitative methods in academic projects and dissertations

he PG Department of Economics organized a special guest lecture on the theme “An Introduction to Basic Econometrics” on November 29, 2025, at the MBA Conference Hall, PG Block.

The session was conducted as part of the department’s continuous effort to enhance students’ analytical capabilities and expose them to quantitative research tools essential for modern economic inquiry. Faculty members and postgraduate students attended the program in significant numbers.

The session was presided over by the Noor Mubhasheer C A, PG Cordinator, Head of the Department Nandeesh H K and UG HOD Dr. Praveen Saldana and faculty members of the department present in the Event.  Chaya I year PG student who introduced the distinguished resource person, Prof Premkumara Sir MV PG Centre, Mandya.

The session commenced with a formal welcome address delivered by the faculty coordinator of the Department of Economics. The resource person, Dr. Premkumar, was introduced to the audience, highlighting his academic achievements, research contributions, and expertise in quantitative economics.

In his lecture, Dr. Premkumar presented a clear and systematic introduction to econometrics. He began by explaining the evolution and relevance of econometrics in contemporary economic research. He outlined the distinction between economic theory, mathematical economics, statistics, and econometrics, emphasizing how empirical verification strengthens theoretical understanding.

The lecture covered essential topics such as types of data (cross-sectional, time-series, and panel), the basic structure of the Simple Linear Regression Model (SLRM), and the role of the Ordinary Least Squares (OLS) method. The resource person elaborated on the assumptions of OLS and discussed their significance in ensuring the validity of econometric results. Practical illustrations and real-life examples were provided to help students understand the application of econometric models in policy evaluation, forecasting, market studies, and academic research.

The session included an interactive discussion, during which students sought clarifications on model specification, multivariate regression, interpretation of statistical significance, and common challenges in econometric analysis. Dr. Premkumar addressed each query with clarity, encouraging students to deepen their engagement with data-driven research.

OUTCOMES OF THE LECTURE

The special lecture on “An Introduction to Basic Econometrics” significantly strengthened the analytical orientation of postgraduate students by providing them with a clear understanding of foundational econometric concepts. Students gained practical exposure to the use of data, regression models, and statistical interpretation, which enhanced their ability to apply quantitative tools in economic analysis. The resource person’s systematic explanation of concepts such as the Simple Linear Regression Model, OLS estimation, and data types enabled learners to relate theoretical knowledge with real-world applications.

Furthermore, the session motivated students to adopt a more research-focused approach in their academic pursuits. Many participants expressed increased confidence in using statistical software and applying econometric techniques in their dissertations and project work. The lecture also encouraged critical thinking by highlighting the importance of empirical validation in economics. Overall, the programme contributed to building essential research competencies and enhanced the department’s efforts to promote data-driven learning among postgraduate students.