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FACULTY DEVELOPMENT PROGRAMME (FDP)
**Introduction to Panel Data Analysis: Static and Dynamic Panel Models Using STATA**
The Department of Management Studies, Dayananda Sagar College of Engineering (DSCE), Bengaluru, is pleased to invite **Faculty Members, Research Scholars, Early-Career Researchers, to participate in a Three-Day Online Faculty Development Programme (FDP)** on *Introduction to Panel Data Analysis: Static and Dynamic Panel Models Using STATA*.
📅 **Dates:** 5th – 7th July 2026
🕖 **Time:** 7:00 PM – 8:00 PM (IST)
💻 **Mode:** Online
⏳ **Last Date for Registration:** 4th July 2026
### Why Attend This FDP?
Panel data analysis has emerged as one of the most widely used quantitative research techniques across Management, Economics, Finance, Social Sciences, and other interdisciplinary fields. This FDP is designed to provide participants with a practical and research-oriented understanding of panel data models and their applications in empirical research.
### Key Topics Covered
✅ Introduction to Panel Data Analysis
✅ Cross-Sectional, Time-Series, and Panel Data Structures
✅ Fixed Effects and Random Effects Models
✅ Hausman Test for Model Selection
✅ Dynamic Panel Data Models
✅ Difference GMM and System GMM
✅ Interpretation of Results Using STATA
### Learning Outcomes
By the end of the FDP, participants will be able to:
✔ Differentiate between cross-sectional, time-series, and panel data structures.
✔ Structure and manage panel datasets for empirical research.
✔ Estimate and interpret Fixed Effects and Random Effects models.
✔ Apply the Hausman Test to identify the appropriate panel data model.
✔ Understand endogeneity issues in panel data research.
✔ Gain foundational knowledge of Difference GMM and System GMM estimation techniques.
✔ Interpret model outputs for dissertations, research projects, and publication-oriented studies.
### Registration Details
💰 **Registration Fee:** ₹300 per Participant
🔗 **Register Now:**
📜 **An E-Certificate will be awarded to participants who attend all FDP sessions.**
We warmly invite faculty members, research scholars, early-career researchers, and researchers from various disciplines to join us for this FDP and enhance their research capabilities in panel data analysis using STATA.
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