Advanced Time Series Regression Analysis

Registration Fee: 900 (USD 20)
6 - 8 June, 2026
6- 8:30 PM (IST)

Online Faculty Development Programme on Advanced Regression Analysis

 

Expert: Dr Miklesh Prasad Yadav

Dr. Yadav is serving as Asst. Professor and Research Division In-Charge at IIFT, Kakinada, with over 15 years of teaching experience. He has published research papers extensively in ABDC, ABS, WOS, and Scopus-indexed journals and serves as a guest editor for reputed Scopus-indexed journals. He has also delivered 200+ sessions as a resource person in workshops and FDPs at leading B-Schools.

  

Programme Objectives

a.     To enable an understanding of the basic to advanced level of Regression, including 2SLS and 3SLS.

b.     To furnish a hands-on session on various statistical tools related to instrumental and quantile regression using RStudio. 

Pedagogy

The FDP will be highly experimental and interactive with lectures, discussions, presentations, and hands-on sessions using RStudio software. Participants will be provided with the relevant industry example data sets for the purpose of analysis to facilitate experiential learning.



Programme Schedule


Session

Topics

Day 1

 

Simple and Multiple Regression, OLS properties, Properties of OLS estimator, Measures of goodness of fit,

Day 2

A statistical inference of obtained results, Assumptions to be tested for Regression, Violation of assumptions, Concept of Endogeneity, Testing of Endogeneity

Day 3

 

Two Stage Least Squares (2SLS), Validity of instruments, Three Stage Least Squares (3SLS), 2SLS vs 3SLS

 

WHEN THE STUDENT IS READY, THE MASTER APPEARS

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Book a 15 minutes free Session