GOV 2001: Advanced Quantitative Political Methodology

Course Material
Syllabus
Final Project
Lecture Notes
Practice Questions 1
Example 2.1 (r code) (data)
Example 2.2 (r code) (data)
Example 3.1
Example 3.2 (data)
Example 4.1 (data)
Example 5.1 (data)
Example 5.2 (data)
Example 5.3 (data)
Example 6.1 (data)
Example 6.2 (data)
Example 6.3 (data)
Example 7.1 (data)
Example 7.2 (data)
Example 7.3 (data)
Example 7.4 (r code) (data)
Example 8.1 (data)
Example 9.1 (r code) (data)
Example 9.2 (r code) (data)
Example 10.1 (data)
Example 10.2 (data)
Example 10.3 (data)
Example 10.4 (data)
Example 10.5 (data)
Example 10.6 (r code) (data)
Example 11.1 (data)
Example 12.1
Example 12.2
Section 1 Code
Section 2 Code
Section 3 Code
Section 4 Code
Section 6 Code
Section 7 Code
Section 8 Code
Section 9 Code
Assignment 1 (data)
Assignment 2
Assignment 3 (data)
Assignment 4 (data) (data)
Assignment 5 (data) (data)
Assignment 6 (data)
Testing for Interaction in Binary Logit and Probit (interactions in logit/probit)
Responding to War on Capital Hill (ordered probit)
Parties, Pivots, and Policy (ordered probit)
Election Laws, Mobilization, and Turnout (multinomial logit)
Legislative Leviathan, Chapter 7 (multinomial logit)
Benchmarking Across Borders (conditional logit)
Economics, Issues, and the Perot Candidacy (multinomial probit)
More Inequality, More Killings (negative binomial)
What Drives the Swing Voter in Africa? (negative binomial)
Autocracies and Terrorism (zero-inflated negative binomial)
Buying Negative Agenda Control in the U.S. House (tobit)
Accountability and Coercion (tobit)
Voter Partisanship and the Effect of Distributive Spending on Political Participation (selection models)
Do Treaties Constrain of Screen (selection models)
Taking Time Seriously (duration data)
Econometric Analysis
Discrete Choice Methods with Simulation
Essentials of Count Data Regression
The Bootstrap

Course Schedule
Class 1 (Jan. 23) - Intro, Logit
Class 2 (Jan. 30) - Logit, Numerical Optimization
Class 3 (Feb. 6) - Numerical Optimization, MLEs
Feb. 7 - Homework 1 Due
Class 4 (Feb. 13) - MLEs, More on Logit, Probit
Feb. 14 - Homework 2 Due
Class 5 (Feb. 20) - No Class
Class 6 (Feb. 27) - Ordered Logit, Ordered Probit
Feb. 28 - Homework 3 Due
Class 7 (Mar. 6) - Discrete Choice Models
Mar. 7 - Homework 4 Due
March 8, 6-8:30pm - Midterm Exam
Class 8 (Mar. 20) - Discrete Choice Models, Count Models, Homework 5 Assigned
Class 9 (Mar. 27) - Count Models, Censoring, Truncation, and Selection, Project Proposal Due
Class 10 (Apr. 3) - Censoring, Truncation, and Selection, Duration Models, Homework 5 Due
Class 11 (Apr. 10) - Duration Models, Homework 6 Assigned
Class 12 (Apr. 17) - Nonlinear Panel Data
Class 13 (Apr. 24) - Nonlinear Panel Data, Nonlinear Times Series, Monte Carlo Simulation and the Bootstrap, Homework 6 Due
April 26, 6pm - Project Due
May 11, 2pm - Final Exam