### 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)

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