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Andrew Q. Philips
Andrew Q. Philips
Associate Professor of Political Science, University of Colorado Boulder
Geverifieerd e-mailadres voor colorado.edu - Homepage
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Cointegration testing and dynamic simulations of autoregressive distributed lag models
S Jordan, AQ Philips
The Stata Journal 18 (4), 902-923, 2018
3712018
Have your cake and eat it too? Cointegration and dynamic inference from autoregressive distributed lag models
AQ Philips
American Journal of Political Science 62 (1), 230-244, 2018
1342018
Representative budgeting: Women mayors and the composition of spending in local governments
KD Funk, AQ Philips
Political Research Quarterly 72 (1), 19-33, 2019
1112019
Seeing the forest through the trees: a meta-analysis of political budget cycles
AQ Philips
Public Choice 168, 313-341, 2016
772016
Dynamic pie: A strategy for modeling trade‐offs in compositional variables over time
AQ Philips, A Rutherford, GD Whitten
American Journal of Political Science 60 (1), 268-283, 2016
692016
Does the@ realDonaldTrump really matter to financial markets?
AL Benton, AQ Philips
American Journal of Political Science 64 (1), 169-190, 2020
412020
Dynamic Simulation and Testing for Single-Equation Cointegrating and Stationary Autoregressive Distributed Lag Models.
S Jordan, AQ Philips
R Journal 10 (2), 2018
342018
Point break: using machine learning to uncover a critical mass in women's representation
KD Funk, HL Paul, AQ Philips
Political Science Research and Methods 10 (2), 372-390, 2022
272022
The dynamic battle for pieces of pie—Modeling party support in multi-party nations
AQ Philips, A Rutherford, GD Whitten
Electoral Studies 39, 264-274, 2015
212015
The effects of immigration and integration on European budgetary trade-offs
CS Lipsmeyer, AQ Philips, GD Whitten
Political Budgeting Across Europe, 124-142, 2018
182018
dynsimpie: A command to examine dynamic compositional dependent variables
AQ Philips, A Rutherford, GD Whitten
The Stata Journal 16 (3), 662-677, 2016
172016
Globalization and comparative compositional inequality
AQ Philips, FDS Souza, GD Whitten
Political Science Research and Methods 8 (3), 509-525, 2020
132020
DYNARDL: Stata module to dynamically simulate autoregressive distributed lag (ARDL) models
S Jordan, AQ Philips
Boston College Department of Economics, 2018
132018
Cointegration testing and dynamic simulations of autoregressive distributed lag models. The Stata Journal, 18 (4), 902–923
S Jordan, AQ Philips
92018
A command to estimate and interpret models of dynamic compositional dependent variables: New features for dynsimpie
YS Jung, FDS Souza, AQ Philips, A Rutherford, GD Whitten
The Stata Journal 20 (3), 584-603, 2020
82020
How to avoid incorrect inferences (while gaining correct ones) in dynamic models
AQ Philips
Political Science Research and Methods 10 (4), 879-889, 2022
72022
Just in time: Political policy cycles of land reform
AQ Philips
Politics 40 (2), 207-226, 2020
72020
Dynamac: Dynamic simulation and testing for single-equation ARDL models
S Jordan, AQ Philips
R package version 0.1 11, 2020
72020
Comparing dynamic pies: A strategy for modeling compositional variables in time and space
CS Lipsmeyer, AQ Philips, A Rutherford, GD Whitten
Political Science Research and Methods 7 (3), 523-540, 2019
72019
Integrating the Use of Statistical Software into Undergraduate Political Methodology Courses
DS Brown, KV Bryant, AQ Philips
PS: Political Science & Politics 55 (1), 210-215, 2022
42022
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