GOV 2002: Topics in Quantitative Methods

Course Material
Syllabus
Discussion Papers
Background Reading
Bayesian Example 1 (JAGS code) (additional code)
Bayesian Example 2 (JAGS code) (slice sampling) (additional code) (data)
Scraping Example
Topics Example 1 (data on canvas)
Topics Example 2 (data on canvas)
Supervised Learning Example (additional code) (additional code) (additional code) (additional code) (additional code) (additional code)
Nonparametrics Example
IV Example 1 (data)
IV Example 2 (data)
Panel Example 1 (data)
Panel Example 2 (data)
Panel Example 3 (data)
Panel Example 4 (data)
Text Analysis Slides
Nonparametrics Slides
Assignment 1 (data)
Assignment 2
Assignment 3 (data) (additional data on canvas)

Course Schedule
Class 1 (Sept. 6) - Intro, Bayesian Statistics
Class 2 (Sept. 13) - Bayesian Statistics
Class 3 (Sept. 20) - Discussion of [1] Quinn et al. (1999) and [2] Jackman (2005)
Class 4 (Sept. 27) - Text, Unsupervised Learning
Class 5 (Oct. 4) - Discussion of [4] Grimmer (2010) and [5] Quinn et al. (2010), Assignment 1 Due
Class 6 (Oct. 11) - Supervised Learning
Class 7 (Oct. 18) - Discussion of [6] Martin and Yurukoglu (2015) and [8] Deiermier et al. (2012)
Class 8 (Oct. 25) - Nonparametrics, Assignment 2 Due
Class 9 (Nov. 1) - Discussion of [10] Imai and Strauss (2011), Multidimensional Scaling and Ideal Point Estimation
Class 10 (Nov. 8) - Multidimensional Scaling and Ideal Point Estimation, Assignment 3 Due
Class 11 (Nov. 15) - Discussion of [13] Clark and Lauderdale (2008), Multidimensional Scaling and Ideal Point Estimation
Class 12 (Nov. 22) - Endogeneity and Instrumental Variables
Class 13 (Nov. 29) - Panel Data and Fixed Effects