• Preface
  • Website Features
  • Accessibility
  • Week 1
  • Introduction to R
    • How Data are organised
    • R & RStudio – Installation
    • R - Getting Started
    • RScript
      • RScript Structure
    • First Steps in R
    • The Working Directory
    • R Packages
    • Working with Your Data Set
      • Opening
      • Viewing the Data
      • Variable Types in R
      • Descriptive Statistics
    • Data Manipulation
      • Recoding
      • Saving
    • The Real Data Set
    • Book Recommendations
  • Week 2
  • Linear Regression - Theory
    • Introduction
    • What is it?
    • Ordinary Least Squares (OLS)
  • Linear Regression – Application
    • The Basic Command
    • Interpreting the Output
      • The Number of Observations
      • The Intercept
      • The Slope Coefficient
      • The all-important p-value in Regression
      • The Goodness of Fit (R-Squared)
    • Choosing Variables
      • Can I choose more than one independent variable?
      • Ceteris Paribus
      • Parsimony
      • R-Squared Again
  • Important Disclaimer
  • Week 3
  • Probit - Theory
    • Probit - What is it?
  • Probit – Application
    • The Command
    • The Coefficients
    • Pedicted Probabilities
      • Setting the x-values
      • Predicting the Probability
      • All Predicted Probabilities
    • How to Report Results
      • Stargazer
      • Multiple Independent Variables
      • Predicting the Probability
  • Exercises
  • Week 4
  • Missing Data
    • Options in R
    • Methodological Implications
  • Model Building
    • Control Variables
  • Week 5
  • Consolidation
    • The World-Value Survey
  • Exercises
    • Descriptives
    • Linear Regression
    • Probit
  • Week 7
  • Markov Transition Models
    • Time Series, Cross-Sectional Data
    • What are Markov Transition Models?
      • Conditional Probabilities
      • Democratic Emergence
      • Lagging the Independent Variables
      • Subsetting the Data for Conditional Probabilities
    • Democratic Emergence
    • Democratic Survival
    • Interpretation
  • Model Fit in Binary Response Models
    • How to Measure Model Fit
      • What is it?
      • R
      • Emergence: Full Model
      • Survival
      • Survival: Full Model
  • Joint Estimation of Emergence and Survival
    • Rationale
    • Example
    • Application in R
  • Exercises
    • The Data Set
    • Basics
    • Advanced
  • Downloads
  • Downlads
    • Documents
    • Data Sets (in alphabetical order)
    • R Scripts
  • List of References
  • List of References

PO3B3: Quantitative Pathway

Downlads

Documents

  • PO3B3 Bibliography
  • Week 7 Stargazer Table

Data Sets (in alphabetical order)

  • Africa
  • Europe
  • Eastern Europe
  • Example
  • Latin America
  • Middle East
  • Przeworski et al. (2000)
  • South East Asia
  • Sub-Saharan Africa
  • World
  • World Value Survey (WVS)

R Scripts

  • Week 1
  • Week 3
  • Week 3 Predicted Probability Graph
  • Week 3 Sample Stargazer Code
  • Week 5 Solutions
  • Week 7 Solutions
  • Week 7 Stargazer Table