Explore the intricacies of Multinomial Regression Models (MRM) and delve into the Multinomial Logit and Conditional Logit models in this comprehensive 43-minute lecture. Learn about choice-specific data, including time, cost, and household income factors, and their impact on econometric modeling. Understand the concepts of relative probability, perceived value, and explanatory variables within the context of MRM. Examine the CM set and its interpretation, and gain insights into C Logic. Conclude with a summary that reinforces key concepts and their practical applications in statistical analysis.
Multinomial Regression Model: Logit and Conditional Logit Models - Part 4
Overview
Syllabus
Introduction
Previous Class
Choice Specific Data
Time
Cost
Household Income
econometric model
relative probability
perceived value
explanatory variable
CM set
Interpretation
C Logic
Summary
Taught by
NPTEL-NOC IITM
