Applied Econometrics Course | IIT Madras | Prof. Sabuj Mandal | 12-Week PG Program
Course Details
| Exam Registration | 103 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 12 weeks |
| Categories | Managerial Economics, Economics |
| Credit Points | 3 |
| Level | Postgraduate |
| Start Date | 19 Jan 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 20 Feb 2026 |
| Exam Date | 18 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Unlock the Power of Data with Applied Econometrics
In today's data-driven world, the ability to extract meaningful insights from complex information is a superpower. Applied Econometrics is the key that unlocks this potential, transforming raw data into evidence for cause-and-effect relationships in economics, finance, management, and beyond. This rigorous field moves beyond theory, focusing on the practical application of statistical methods to real-world economic questions.
We are proud to present an in-depth 12-week postgraduate course designed and instructed by Prof. Sabuj Kumar Mandal from the prestigious Indian Institute of Technology Madras (IIT Madras). This course is meticulously structured to equip you with the advanced tools needed to analyze complex decision-making data and significantly enhance your analytical prowess.
Meet Your Instructor: Prof. Sabuj Kumar Mandal
Learning from an expert is crucial. Prof. Mandal brings exceptional academic rigor and real-world research experience to this course.
- Current Role: Associate Professor, Department of Humanities and Social Sciences, IIT Madras.
- Education: Ph.D. in Economics from the Institute for Social and Economic Change, Bangalore, with an M.Sc. specializing in Econometrics from the University of Calcutta.
- Research Expertise: Applied Econometrics, Energy & Environmental Economics, Climate Change Adaptation, and Behavioral Economics.
- Accolades: Recipient of the Young Economist Award 2015 (Indian Econometric Society) and the prestigious Fulbright Nehru Academic and Professional Excellence Award 2020-21.
- Teaching Philosophy: Focuses on bridging theoretical econometrics with practical application, ensuring students can tackle contemporary economic problems.
Who Should Take This Course?
This postgraduate-level course is ideal for:
- Postgraduate students in Economics, Finance, Business Administration, or Data Science.
- Professionals in banking, analytics, audit firms, and policy research seeking to deepen their quantitative skills.
- Researchers and academicians looking to strengthen their econometric modeling capabilities.
- Prerequisites: A foundational understanding of inferential statistics and basic econometrics is required.
What Will You Learn? Course Layout & Modules
Over 12 intensive weeks, you will master advanced econometric techniques with hands-on application using the statistical software STATA.
Week 1-2: Instrumental Variable (IV) Estimation
- Overcoming omitted variable bias.
- Two Stage Least Squares (2SLS) with single and multiple endogenous variables.
- Statistical inference and practical estimation in STATA.
Week 3: Simultaneous Equations Models
- Understanding the nature of simultaneous causality.
- Identification and estimation of structural equations.
Week 4-5: Panel Data Methods I
- Pooling cross-sections and two-period panel data for policy analysis.
- Static models: Fixed Effects (LSDV) vs. Random Effects estimation.
Week 6: Panel Data Methods II
- Dynamic Panel Data models and the Nickell bias.
- Advanced estimators: Anderson-Hsiao, Arellano-Bond (Difference GMM), and System GMM.
Week 7-8: Time Series Econometrics
- Distributed lag models, unit root testing, and cointegration.
- Error Correction Models (ECM).
Week 9: Time Series Properties in Panel Data
- Panel unit root tests and panel cointegration.
- Panel Vector Error Correction Models (VECM).
Week 10-12: Qualitative & Limited Dependent Variables
- Modeling binary outcomes: Logit, Probit, and Linear Probability Models.
- Multinomial, conditional, and ordered response models.
- Handling censored/truncated data: Tobit and Heckman's selection model.
Industry Relevance & Career Prospects
Proficiency in Applied Econometrics is highly sought after across industries. This course directly supports roles in:
| Industry | Application |
|---|---|
| Banking & Finance | Risk modeling, credit scoring, algorithmic trading. |
| Consulting & Analytics | Data-driven strategy, impact evaluation, market research. |
| Audit & Advisory Firms | Forensic data analysis, regulatory compliance modeling. |
| Policy & Research | Program evaluation, economic forecasting, climate policy analysis. |
Recommended Textbooks
- Wooldridge, J. M. - Introductory Econometrics: A Modern Approach
- Gujarati, D. N. - Basic Econometrics
- Maddala, G.S. - Limited Dependent and Qualitative Variables in Econometrics
Why Enroll in This Applied Econometrics Course?
This course is more than just a series of lectures. It's a transformative learning journey that will enable you to:
- Formulate and test sophisticated econometric models for your research or business problems.
- Establish causal relationships in data, moving beyond mere correlation.
- Gain hands-on expertise with STATA, a leading software in economic research.
- Learn from an award-winning IIT Madras professor with active research in cutting-edge applied topics.
- Boost your employability in a competitive job market that values advanced quantitative skills.
Take the next step in your data analysis career. Master the tools of Applied Econometrics and learn to turn complex data into compelling evidence and actionable insights.
Enroll Now →