Andrew Q. Philips
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Publications
Volatile pies: Modeling compositional volatility.
Eastman, Abbie, Andrea Junqueira, Ali Kagalwala, Andrew Q. Philips and Guy D. Whitten. 2024.
Social Science Quarterly
105(4): 965-979.
article (open access)
Bad times keep us together: Policy priorities and economic shocks.
Lipsmeyer, Christine S., Andrew Q. Philips, Amanda Rutherford and Guy D. Whitten. 2024.
Social Science Quarterly
105(4): 934-947.
article
article (ungated)
supplemental materials
replication
Look over there. Where? A compositional approach to the modeling of public opinion on the Most Important Problem.
Jokinsky, Steven, Christine S. Lipsmeyer, Andrew Q. Philips, Laron Williams and Guy D. Whitten. 2024.
Social Science Quarterly
105(4): 913-933.
article
article (ungated)
supplemental materials
replication
Does job market insecurity shape policy preferences? An experimental manipulation of labor market risk
Compton, Mallory and Andrew Q. Philips. 2024.
The Journal of Politics
86(2): 1-6.
article
article and supplemental materials (ungated)
replication
How do we know what we know? Learning from Monte Carlo simulations
Hopkins, Vincent, Ali Kagalwala, Mark Pickup, Andrew Q. Philips and Guy D. Whitten. 2024.
The Journal of Politics
86(1): 36-53.
article
article and supplemental materials (ungated)
replication
Synthesize this: Meta-analysis as a dissertation tool
Jackson, Christopher and Andrew Q. Philips. 2023.
PS: Political Science & Politics
48(1): 165-202.
article (open access)
supplemental materials
How to cautiously uncover the ‘black box’ of machine learning models for legislative scholars
Jordan, Soren, Hannah L. Paul and Andrew Q. Philips. 2023.
Legislative Studies Quarterly
48(1): 165-202.
article
article (ungated)
supplemental materials
replication
Improving the interpretation of random effects regression results
Jordan, Soren and Andrew Q. Philips. 2023.
Political Studies Review
21(1): 210-220.
article
article (ungated)
supplemental materials
program website
A moveable benefit? Spillover efffects of quotas on women's numerical representation
Kaur, Komal Preet and Andrew Q. Philips. 2023.
Political Research Quarterly
76(2): 680-696.
article
article (ungated)
supplemental materials
replication
What goes up must come down: Theory and model specification of threshold dynamics
Paul, Hannah L. and Andrew Q. Philips. 2022.
Social Science Quarterly
103(5): 1273-1289.
article
article (ungated)
supplemental materials
replication
Integrating the use of statistical software into undergraduate political methodology courses
Brown, David S., Katherine V. Bryant and Andrew Q. Philips. 2022.
PS: Political Science & Politics 55(1): 210-215
.
article
article (ungated)
replication
Point break: Using machine learning to uncover a critical mass in women’s representation
Funk, Kendall D., Hannah L. Paul and Andrew Q. Philips. 2022.
Political Science Research and Methods
10(2): 372-390.
article (open access)
supplemental materials
replication
How to avoid incorrect inferences (while gaining correct ones) in dynamic models
Philips, Andrew Q. 2022.
Political Science Research and Methods
10(4): 879-889.
article (open access)
supplemental materials
replication
What about the rest of the pie? A dynamic compositional approach to modeling inequality
Kagalwala, Ali, Andrew Q. Philips and Guy D. Whitten. 2021.
Social Science Quarterly
102(4): 1534-1552.
article
article (ungated)
supplemental materials
An easy way to create duration variables in binary cross-sectional time series data
Philips, Andrew Q. 2020.
The Stata Journal
20(4): 916-930.
article
article (ungated)
program website
Exploring meaningful visual effects and quantities of interest from dynamic models through dynamac
Jordan, Soren and Andrew Q. Philips. 2020.
The Journal of Open Source Software
5(54): 2528.
article (open access)
program website
A program to estimate and interpret models of dynamic compositional dependent variables: New features for dynsimpie
Jung, Yoo Sun, Flávio D.S. Souza, Andrew Q. Philips, Amanda Rutherford and Guy D. Whitten. 2020.
The Stata Journal
20(3): 584-603.
article
article (ungated)
Just in time: Political policy cycles of land reform
Philips, Andrew Q. 2020.
Politics
40(2): 207-226.
article
article (ungated)
supplemental materials
replication
Does the @realDonaldTrump really matter to financial markets?
Benton, Allyson L., and Andrew Q. Philips. 2020.
American Journal of Political Science
64(1): 169-190.
article
article (ungated)
supplemental materials
replication
Globalization and comparative compositional inequality
Philips, Andrew Q., Flavio D.S. Souza, and Guy D. Whitten. 2020.
Political Science Research and Methods
8(3): 509-525.
article
article (ungated)
supplemental materials
replication
Comparing dynamic pies: A strategy for modeling compositional variables in time and space
Lipsmeyer, Christine S., Andrew Q. Philips, Amanda Rutherford, and Guy D. Whitten. 2019.
Political Science Research and Methods
7(3): 523-540.
article
article (ungated)
supplemental materials
replication
Gendered budgeting: Women chief executives and budget allocations in local governments
Funk, Kendall D. and Andrew Q. Philips. 2019.
Political Research Quarterly
72(1): 19-33.
article
article (ungated)
supplemental materials
replication
Dynamic simulation and testing for single-equation cointegrating and stationary autoregressive distributive lag models
Jordan, Soren and Andrew Q. Philips. 2018.
The R Journal
10(2): 469-488.
article (ungated)
program website
Cointegration testing and dynamic simulations of autoregressive distributed lag models
Jordan, Soren and Andrew Q. Philips. 2018.
Stata Journal
18(4): 902-923.
article
article (ungated)
program website
Have your cake and eat it too? Cointegration and dynamic inference from autoregressive distributed lag models
Philips, Andrew Q. 2018.
American Journal of Political Science
62(1): 230-244.
article
article (ungated)
supplemental materials
replication
The effects of immigration and integration on European budgetary trade-offs
Lipsmeyer, Christine S., Andrew Q. Philips, and Guy D. Whitten. 2017.
Journal of European Public Policy
24(6): 912-930.
article
article (ungated)
Seeing the forest through the trees: A meta-analysis of political budget cycles
Philips, Andrew Q. 2016.
Public Choice
168(3) 313-341.
article
article (ungated)
supplemental materials
dynsimpie: A command to examine dynamic compositional dependent variables
Philips, Andrew Q., Amanda Rutherford, and Guy D. Whitten. 2016.
The Stata Journal
16(3): 662-677.
article (ungated)
program website
Dynamic pie: A strategy for modeling trade-offs in compositional variables over time
Philips, Andrew Q., Amanda Rutherford, and Guy D. Whitten. 2016.
American Journal of Political Science
60(1): 268-283.
article
supplemental materials
The dynamic battle for pieces of pie: Modeling party support in multi-party nations
Philips, Andrew Q., Amanda Rutherford, and Guy D. Whitten. 2015.
Electoral Studies
39: 264-274.
article
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