about
Welcome! I am an Associate Professor and the Henry W. Ehrmann Professor in Law and Jurisprudence in the Department of Political Science at the University of Colorado Boulder. I'm also a fellow at CU's Institute of Behavioral Science. I specialize in political economy and methodology. On this website you can find my CV, links to my work, software for both Stata and R, and course syllabi. You can also contact me or check out my Google Scholar or Github page.
My current research interests include:
- A book on pooling data across both space and time
- How domestic and international economic, political and institutional factors affect the composition of government expenditures, as well as other budgetary components (c.f., my recent Cambridge University Press book)
- How changes in the representation of women politicians shape certain outcomes, such as government spending and the electability of other women
- How to better specify, model and interpret a host of dynamic models, such as ARCH/GARCH, ARDL, and models using compositional data
- Various dabbling in machine learning, the effect of elite speech and government policies on financial markets, text and images as data, opportunistic political spending, and political science pedagogy
recent publications
- Does job insecurity shape policy preferences? An experimental manipulation of labor market risk. Compton and Philips (2024). The Journal of Politics.
- How do we know what we know? Learning from Monte Carlo simulations. Hopkins et al (2024). The Journal of Politics.
- Synthesize this: Meta-analysis as a dissertation tool. Jackson and Philips (2023). PS: Political Science & Politics.
- A moveable benefit? Spillover efffects of quotas on women's numerical representation. Kaur and Philips (2023). Political Research Quarterly.
- How to cautiously uncover the ‘black box’ of machine learning models for legislative scholars. Jordan et al (2023). Legislative Studies Quarterly.
- Improving the interpretation of random effects regression results. Jordan and Philips (2023). Political Studies Review.
Click the link below to see all publications, access ungated versions and replication files.
software
mkduration
Create duration variable with binary cross-sectional time series data (Stata)dynsimpie
Model dynamic compositional dependent variables (Stata)- Website (old version)
- Stata Journal article (old version)
- Stata Journal article (new version)
dynamac
Dynamic simulation and testing of single-equation autoregressive distributed lag models (R/Stata)qdmean
Automatically quasi-demean regressors following FGLS-RE or MLE-RE regression (R/Stata)courses
University of Colorado Boulder
- PSCI 7108: Time Series and Pooled Time Series. Syllabus
- PSCI 7095: Advanced Political Data Analysis. Syllabus
- PSCI 7155: Maximum Likelihood. Syllabus
- PSCI 3075: Applied Political Science Research Syllabus
- PSCI 3105: Designing Social Inquiry. Syllabus
- PSCI 2075: Quantitative Research Methods. Syllabus
- Summer Workshop in Political Methodology: Cross-Sectional Time Series. Syllabus
- Summer Workshop in Political Methodology: Machine Learning. Syllabus
- Interdisciplinary Training in the Social Sciences Quantitative Methods Workshop.
- Interdisciplinary Training in the Social Sciences Short Course: Modeling Temporal and Spatial Processes in the Social Sciences. Syllabus
- Graduate Student Introduction to Statistical Programming Software. Syllabus
- ICPSR Summer Program in Quantitative Methods of Social Research: Panel Data and Longitudinal Analysis. Syllabus
- ICPSR Summer Program in Quantitative Methods of Social Research: Advanced Topics in Dynamic Panel Models. Syllabus
- IPSA-USP Summer School in Concepts, Methods and Techniques in Political Science and International Relations: Advanced Time Series Cross-Section Analyses. Website. Syllabus
- IPSA-USP Summer School in Concepts, Methods and Techniques in Political Science and International Relations: Modeling Dynamics and Advances in Modeling Dynamics. Website
- Texas A&M, POLS 328-502: Globalization and Democracy. Syllabus
- Texas A&M, Introduction to Statistical and Programming Software. Syllabus
Others
contact
Feel free to contact me at andrew[dot]philips[at]colorado[dot]edu. You can also find me on GitHub.