Explore the fundamentals of Qualitative Response Models in this 31-minute lecture, focusing on the Logit Model and its applications. Delve into various types of qualitative response models, understand their importance in data analysis, and examine real-world examples such as car ownership. Learn about the Linear Probability Model, its limitations, and discover how the Non-Linear Probability Model addresses these shortcomings. Gain insights into the Logit Model's structure and its effectiveness in analyzing categorical outcomes. This NPTEL-NOC IITM presentation provides a comprehensive introduction to qualitative response modeling techniques, equipping you with essential knowledge for statistical analysis in various fields.
Qualitative Response Models: Introduction to Logit Model - Part I
Overview
Syllabus
Introduction
Example 1 Car Ownership
Example 3 Car Ownership
Linear Probability Model
Limitations of Linear Probability Model
Non Linear Probability Model
Logit Model
Taught by
NPTEL-NOC IITM
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Qualitative Response Models: Logit and Probit - Part IV
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Variable Selection, Model Validation, Nonlinear Regression
