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data.yml
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assignments:
- name: "Assignment 1"
url: "https://github.com/UW-POLS503/assignment-2017-1"
due-date: null
- name: "Assignment 2"
url: "https://github.com/UW-POLS503/assignment-2017-2"
due-date: null
- name: "Assignment 3"
url: "https://UW-POLS503.github.io/assignment-2017-3"
due-date: "2017-05-24 17:00"
- name: "Assignment 3"
url: "https://UW-POLS503.github.io/assignment-2017-4"
due-date: "2017-06-05 17:00"
classes:
- week: 1
topics: "OLS Review"
meetings:
- start: "2017-03-27 17:00"
end: "2017-03-27 18:20"
type: class
date: '2017-03-27'
reading_before: []
reading_after: []
in_class: []
- start: "2017-03-29 17:00"
end: "2017-03-29 18:20"
type: class
date: '2017-03-29'
notes: >
The *Real Stats* readings should be mostly review. Use them and the
two *Nature* pieces to refresh yourself on regression.
Scan the *PS* symposium to get a sense of where political science research
methods are and are goings. Angrist and Pischke and Dunning provide
background to the "causal inference revolution". In particular, understand the
difference between "design based" and "model based" methods of inference.
The Freedmand and Berk articles discuss the limitations, or rather, the proper
uses of regression, and stats, more generally.
reading_before:
- "*Real Stats*, Ch 1: \"The Quest for Causality\""
- "*Real Stats*, Ch 3: \"Bivariate OLS: The Foundation of Statistical Analysis\""
- "Altman and Krzywinski. 2015. \"[Points of Significance: Association, Correlation, and Causation](https://dx.doi.org/10.1038/nmeth.3587)\". *Nature Methods*"
- "Altman and Krzywinski. 2015. \"[Points of Significance: Simple linear regression](https://dx.doi.org/10.1038/nmeth.3627).\" *Nature Methods*."
- >
[Symposium: Big Data, Causal Inference, and Formal Theory: Contradictory Trends in Political Science?](https://doi.org/10.1017/S1049096514001759).
This is effectively a commentary on where methodology goes from here. Scan the various articles to get the gist of the different viewpoints.
- >
Agrist and Pischke. 2010. "[The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics](https://dx.doi.org/10.1257/jep.24.2.3)". *Journal of Economic Perspectives*.
- "Dunning. 2010. \"[Design-Based Inference: Beyond the Pitfalls of Regression Analysis?](http://www.thaddunning.com/wp-content/uploads/2010/05/Dunning_Rethinking-Social-Inquiry.pdf)\" in *Rethinking Social Inquiry: Diverse Tools, Shared Standards*"
- "Freedman. 1991. \"[Statistical Models and Shoe Leather](https://dx.doi.org/10.2307/270939)\". *Sociological Methodology.*"
- "Berk. 2010. \"[What You Can and Can’t Properly Do with Regression](https://dx.doi.org/10.1007/s10940-010-9116-4)\". *Journal of Quantitative Criminology.*"
reading_after:
- "King. 1991. \"[On Political Methodology](http://gking.harvard.edu/files/polmeth.pdf)\" *Political Analysis*. A dated history of statistics in political science."
- >
Sigelman. 2006. "[The Coevolution of American Political Science and the American Political Science Review](https://doi.org/10.1017/S0003055406062319)". *APSR*
Becoming dated, but it touches on changes in methodology throughout the history of political science. This, along with King (1991) is
to give you a big picture overview of the history of methodology in the discipline as some of the other papers
provide a recent view of developments.
in_class: []
- start: "2017-03-31 17:00"
end: "2017-03-31 18:20"
type: lab
date: '2017-03-31'
reading_before:
- >
Software Carpentry. [Automated Version Control](http://swcarpentry.github.io/git-novice/01-basics/) and
[Using Git from RStudio](http://swcarpentry.github.io/git-novice/14-supplemental-rstudio).
reading_after:
- >
Bryan. 2017. [Happy Git and GitHub for the useR](http://happygitwithr.com/)
- >
Software Carpentry. [Version Control with Git](http://swcarpentry.github.io/git-novice/). This is a good intro, but uses
the command line `git` program rather than the `git` interface built into RStudio.
- >
Jones. 2013. "[Git/GitHub, Transparency, and Legitimacy in Quantitative Research](https://thepoliticalmethodologist.com/2013/11/18/gitgithub-transparency-and-legitimacy-in-quantitative-research/)." *Political Methodologist*
- >
Ram. 2013. "[Git can facilitate greater reproducibility and increased transparency in science](https://dx.doi.org/10.1186/1751-0473-8-7)
- >
Ram. [git/github guide: a minimal tutorial](http://kbroman.org/github_tutorial/)
- week: 2
meetings:
- start: "2017-04-03 17:00"
end: "2017-04-03 18:20"
type: class
date: '2017-04-03'
reading_before:
- >
*Real Stats,* Ch 4, "Hypothesis Testing and Interval Estimation: Answering Research Questions"
reading_after:
- >
EGAP [10 Things to Know About Statistical Power](http://egap.org/methods-guides/10-things-you-need-know-about-statistical-power)
in_class:
- >
Discussed *Real Stats* Ch 3 and 4: statistical power, estimate/estimators,
unbiasedness, consistency.
- start: "2017-04-05 17:00"
end: "2017-04-05 18:20"
type: class
date: '2017-04-05'
reading_before:
- >
Acharya, Blackwell, and Sen. 2016. "[The Political Legacy of American Slavery](http://www.journals.uchicago.edu/doi/10.1086/686631)." *Journal of Politics*
- >
*Real Stats,* "Ch 5: Multivariate OLS: Where the Action Is"
- >
*Real Stats,* Ch 14, "Advanced OLS"
reading_after: []
in_class: []
- start: "2017-04-07 17:00"
end: "2017-04-07 18:20"
type: lab
date: '2017-04-07'
reading_before: []
reading_after: []
in_class: []
- week: 3
meetings:
- start: "2017-04-10 17:00"
end: "2017-04-10 18:20"
type: class
date: '2017-04-10'
reading_before:
- >
*Real Stats,* Ch 6, "Dummy Variables: Smarter Than You Think"
- >
*Real Stats,* Ch 7, "Transforming Variables, Comparing Variables"
reading_after: []
in_class: []
- start: "2017-04-12 17:00"
end: "2017-04-12 18:20"
type: class
date: '2017-04-12'
reading_before: []
reading_after: []
in_class: []
- start: "2017-04-14 17:00"
end: "2017-04-14 18:20"
type: class
date: '2017-04-14'
reading_before:
- >
Nunn and Wantchekon. 2011. "[The Slave Trade and the Origins of Mistrust in Africa](https://dx.doi.org/10.1257/aer.101.7.3221)" *American Economic Review*
reading_after: []
in_class: []
- week: 4
meetings:
- start: "2017-04-17 17:00"
end: "2017-04-17 18:20"
type: class
date: '2017-04-17'
reading_before: []
reading_after: []
in_class: []
- start: "2017-04-19 17:00"
end: "2017-04-19 18:20"
type: class
date: '2017-04-19'
reading_before: []
reading_after: []
in_class:
- "Introduce [Assignment 2](https://github.com/UW-POLS503/assignment-2017-2)"
- start: "2017-04-21 17:00"
end: "2017-04-21 18:20"
type: lab
date: '2017-04-21'
reading_before: []
reading_after: []
in_class:
- "Work through [Assignment 2](https://github.com/UW-POLS503/assignment-2017-2) question 1"
- week: 5
topics: "Linear Regression Diagnostics, Bootstrap, Cross-Validation"
meetings:
- start: "2017-04-24 17:00"
end: "2017-04-24 18:20"
type: class
date: '2017-04-24'
reading_before:
- >
Gross, J. H. 2014. ``Testing what matters (if you must test at all): a context-driven approach to substantive and statistical significance'' *American Journal of Political Science*
- >
McCaskey, K. & Rainey, C. 2015. ``Substantive Importance and the Veil of Statistical Significance'' *Statistics, Politics and Policy*
reading_after: []
in_class: []
- start: "2017-04-26 17:00"
end: "2017-04-26 18:20"
type: class
date: '2017-04-26'
reading_before:
- >
[Bootstrapping](https://jrnold.github.io/intro-methods-notes/bootstrapping.html) notes
- >
[Prediction and Model Comparison Notes](https://jrnold.github.io/intro-methods-notes/prediction-and-model-comparison.html)
- >
[Boostrap Methods and Permutation Test](http://content.bfwpub.com/webroot_pubcontent/Content/BCS_4/IPS7e/Student/Companion%20Chapters/ips_chap16.pdf)
reading_after: []
in_class: []
- start: "2017-04-28 17:00"
end: "2017-04-28 18:20"
type: class
date: '2017-04-28'
reading_before: []
reading_after: []
in_class: []
- week: 6
topics: "Selection on Observables: Matching and Observables"
meetings:
- start: "2017-05-01 17:00"
end: "2017-05-01 18:20"
type: class
date: '2017-05-01'
reading_before:
- >
*MM*, Ch 1, "Randomized Trials"
- >
Keele. 2015. "[The Statistics of Causal Inference: A View from Political Methodology](doi:10.1093/pan/mpv007)," *Political Analysis*.
- >
Gelman and Imbens. "[Why ask Why? Forward Causal Inference and Reverse Causal Questions](http://www.nber.org/papers/w19614)," *NBER*
- >
*MM*, Ch 1, "Randomized Trials"
reading_after:
in_class: []
- start: "2017-05-03 17:00"
end: "2017-05-03 18:20"
type: class
date: '2017-05-03'
reading_before:
- "*MM*, Ch 2, \"Regression\""
- "*MM*, Ch 6.1, \"Schooling, Experience, and Earnings\""
- "*MM*, Ch 6.2, \"Twins Double the Fun\""
- EGAP, "[10 Things to Know About Covariate Adjustment](http://egap.org/methods-guides/10-things-know-about-covariate-adjustment)"
reading_after:
- >
King, Lucas, and Nielsen. (2016) "[The Balance-Sample Size Frontier in Matching Methods for Causal Inference](https://dx.doi.org/10.1111/ajps.12272)." *American Journal of Political Science.*
- >
Imbens. (2015) "[Matching Methods in Practice](https://dx.doi.org/10.3386/w19959)." *Journal of Human Resources*.
- >
Sekhon. (2009) "Opiates for the Matches: Matching Methods for Causal Inference"
in_class: []
- start: "2017-05-05 17:00"
end: "2017-05-05 18:20"
type: class
date: '2017-05-05'
reading_before: []
reading_after: []
in_class: []
- week: 7
topics: "Instrumental Variables"
meetings:
- start: "2017-05-08 17:00"
end: "2017-05-08 18:20"
type: class
date: '2017-05-08'
reading_before:
- "*MM*, Ch 3, \"Instrumental Variables\""
- "*MM*, Ch 6.3, \"Econometricians are known by their ... Instruments\""
- Sovey and Green. (2011) "[Instrumental Variables Estimation in Political Science: A Readers’ Guide](https://dx.doi.org/10.1111/j.1540-5907.2010.00477.x)," *AJPS*.
- EGAP. "[10 Things to Know About the Local Average Treatment Effect](http://egap.org/methods-guides/10-things-you-need-know-about-local-average-treatment-effect)"
reading_after: []
in_class: []
- start: "2017-05-10 17:00"
end: "2017-05-10 18:20"
type: class
date: '2017-05-10'
reading_before: []
reading_after: []
in_class: []
- start: "2017-05-12 17:00"
end: "2017-05-12 18:20"
type: class
date: '2017-05-12'
reading_before: []
reading_after: []
in_class: []
- week: 8
topics: "Instrumental Variables"
meetings:
- start: "2017-05-15 17:00"
end: "2017-05-15 18:20"
type: class
date: '2017-05-15'
reading_before: []
reading_after: []
in_class: []
- start: "2017-05-17 17:00"
end: "2017-05-17 18:20"
type: class
date: '2017-05-17'
reading_before: []
reading_after: []
in_class: []
- start: "2017-05-19 17:00"
end: "2017-05-19 18:20"
type: class
date: '2017-05-19'
reading_before: []
reading_after: []
in_class: []
- week: 9
topics: "Panel Data, Difference-in-Differences"
meetings:
- start: "2017-05-22 17:00"
end: "2017-05-22 18:20"
type: class
date: '2017-05-22'
reading_before:
- "*Real Stats*, Ch 11"
- "*MM*, Ch 4, \"Regression Discontinuity Designs\""
- "*MM*, Ch 6.4, \"Rustling Sheepskin in the Lonestar State\""
reading_after:
- >
Skovron and Rocio. 2015. [A Practical Guide to Regression Discontinuity Designs in Political Science](http://sites.lsa.umich.edu/webbkeane/wp-content/uploads/sites/233/2015/10/SkovronTitiunik-v5.pdf)
- >
Lee and Lemieux. 2010. "[Regression Discontinuity Designs in Economics](https://dx.doi.org/10.1257/jel.48.2.281)." *Journal of Economic Literature*
in_class: []
- start: "2017-05-24 17:00"
end: "2017-05-24 18:20"
type: class
date: '2017-05-24'
reading_before: []
reading_after: []
in_class: []
- start: "2017-05-26 17:00"
end: "2017-05-26 18:20"
type: class
date: '2017-05-26'
reading_before: []
reading_after: []
in_class: []
- week: 10
topics: "Panel Data, Difference-in-Differences"
meetings:
- start: "2017-05-31 17:00"
end: "2017-05-31 18:20"
type: class
date: '2017-05-31'
reading_before:
- "*Real Stats*, Ch 8."
- "*MM*, Ch 5, \"Difference-in-Differences\""
- >
*Real Stats*, Ch 13
- >
*Real Stats*, Ch 15
reading_after:
- >
Bertrand, Duflo, Mullainathan. 2004. "[How Much Should We Trust Differences-In-Differences Estimates?](https://dx.doi.org/10.1162/003355304772839588)" *QJE*
- >
Cameron and Miller. "[A Practitioner's Guide to Cluster-Robust Inference](http://cameron.econ.ucdavis.edu/research/Cameron_Miller_JHR_2015_February.pdf)".
in_class: []
- start: "2017-06-02 17:00"
end: "2017-06-02 18:20"
type: class
date: '2017-06-02'
reading_before: []
reading_after: []
in_class: []