Brief Introduction
An easy introduction to Logit and Probit regressionDescription
An easy introduction to Logit and Probit regression.
Learning and applying new statistical techniques can often be a daunting experience.
"Easy Statistics" is designed to provide you with a compact, and easy to understand, course that focuses on the basic principles of statistical methodology.
This course will focus on the concept of Non-Linear regression, specifically Logit and Probit regression.
This course will explain what non-linear regression is and how Logit and Probit regression works. It will do this without equations or mathematics. The focus of this course is on application and interpretation of regression. The learning on this course is underpinned by animated graphics that demonstrate particular statistical concepts.
No prior knowledge is necessary and this course is for anyone who needs to engage with quantitative analysis.
The main learning outcomes are:
To learn and understand the basic statistical intuition behind Non-Linear regression
To learn and understand how Logit and Probit models work
To be able to comfortably interpret and analyze complicated regression output from Logit and Probit regression
To learn tips and tricks around Non-Linear Regression analysis
Specific topics that will be covered are:
What kinds of Non-Linear regression analysis exist
How does Non-Linear regression work?
Why is Non-Linear regression useful?
What is Maximum Likelihood?
The Linear Probability Model
Logit and Probit regression
Latent variables
Marginal effects
Dummy variables in Logit and Probit regression
Goodness-of-fit statistics
Odd-ratios for Logit models
Practical Logit and Probit model building in Stata
The computer software Stata will be used to demonstrate practical examples.
Requirements
- Requirements
- None
F. Buscha
5 Raiting
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