Introduction
1.
Introduction to Quantitative Analysis
1.1.
Seminar
1.2.
Solutions
2.
Descriptive Statistics
2.1.
Seminar
2.2.
Solutions
3.
T-test for Difference in Means and Hypothesis Testing
3.1.
Seminar
3.2.
Solutions
4.
Bivariate linear regression models
4.1.
Seminar
4.2.
Solutions
5.
Multiple linear regression models
5.1.
Seminar
5.2.
Solutions
6.
Assumptions and Violations of Assumptions
6.1.
Seminar
6.2.
Solutions
7.
Interactions
7.1.
Seminar
7.2.
Solutions
8.
Panel Data, Time-Series Cross-Section Models
8.1.
Seminar
8.2.
Solutions
9.
Binary models: Logit
9.1.
Seminar
9.2.
Solutions
10.
Frequently Asked Questions
10.1.
R on UCL Computers
10.2.
How to Set Working Directory
10.3.
Operators in R
10.4.
Order of Loading Packages
10.5.
Installing Zelig
10.6.
Interpreting Zelig Simulation
10.7.
Common Problems and Solutions
10.8.
Downloading WDI Dataset
11.
Optional Material
11.1.
Central Limit Theorem
11.2.
Linear Regression
12.
Datasets
13.
R Resources
14.
References
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Introduction to Quantitative Methods
9. Binary models: Logit
Discrete and Limited Dependent Variables; Logit; predicted probabilities.
Required Reading
Chapter 11.1 - 11.2 (Kellstedt & Whitten, 2013)
Chapter 11 (Stock & Watson, 2003)
Chapter 3 - 3.5 (Long, 1997)
Seminar
Solutions