Philips — Publications

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.

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A moveable benefit? Spillover efffects of quotas on women's numerical representation

Kaur, Komal Preet and Andrew Q. Philips. 2022. Political Research Quarterly: 1-19.

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How to cautiously uncover the ‘black box’ of machine learning models for legislative scholars

Jordan, Soren, Hannah L. Paul and Andrew Q. Philips. 2022. Legislative Studies Quarterly: 1-39.

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Improving the interpretation of random effects regression results

Jordan, Soren and Andrew Q. Philips. 2022. Political Studies Review: 1-11.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Just in time: Political policy cycles of land reform

Philips, Andrew Q. 2020. Politics 40(2): 207-226.

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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.

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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.

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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.

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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.

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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.

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Cointegration testing and dynamic simulations of autoregressive distributed lag models

Jordan, Soren and Andrew Q. Philips. 2018. Stata Journal 18(4): 902-923.

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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.

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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.

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Seeing the forest through the trees: A meta-analysis of political budget cycles

Philips, Andrew Q. 2016. Public Choice 168(3) 313-341.

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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.

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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.

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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.

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