Cointegration testing and dynamic simulations of autoregressive distributed lag models S Jordan, AQ Philips The Stata Journal 18 (4), 902-923, 2018 | 404 | 2018 |
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 | 147 | 2018 |
Representative budgeting: Women mayors and the composition of spending in local governments KD Funk, AQ Philips Political Research Quarterly 72 (1), 19-33, 2019 | 123 | 2019 |
Seeing the forest through the trees: a meta-analysis of political budget cycles AQ Philips Public Choice 168, 313-341, 2016 | 83 | 2016 |
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 | 75 | 2016 |
Does the@ realDonaldTrump really matter to financial markets? AL Benton, AQ Philips American Journal of Political Science 64 (1), 169-190, 2020 | 42 | 2020 |
Dynamic Simulation and Testing for Single-Equation Cointegrating and Stationary Autoregressive Distributed Lag Models. S Jordan, AQ Philips R Journal 10 (2), 2018 | 35 | 2018 |
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 | 30 | 2022 |
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 | 23 | 2015 |
The effects of immigration and integration on European budgetary trade-offs CS Lipsmeyer, AQ Philips, GD Whitten Political Budgeting Across Europe, 124-142, 2018 | 20 | 2018 |
dynsimpie: A command to examine dynamic compositional dependent variables AQ Philips, A Rutherford, GD Whitten The Stata Journal 16 (3), 662-677, 2016 | 19 | 2016 |
DYNARDL: Stata module to dynamically simulate autoregressive distributed lag (ARDL) models S Jordan, AQ Philips Boston College Department of Economics, 2018 | 15 | 2018 |
Globalization and comparative compositional inequality AQ Philips, FDS Souza, GD Whitten Political Science Research and Methods 8 (3), 509-525, 2020 | 12 | 2020 |
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 | 10 | 2020 |
Cointegration testing and dynamic simulations of autoregressive distributed lag models. The Stata Journal, 18 (4), 902–923 S Jordan, AQ Philips | 9 | 2018 |
How to avoid incorrect inferences (while gaining correct ones) in dynamic models AQ Philips Political Science Research and Methods 10 (4), 879-889, 2022 | 8 | 2022 |
Just in time: Political policy cycles of land reform AQ Philips Politics 40 (2), 207-226, 2020 | 8 | 2020 |
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 | 8 | 2019 |
Dynamac: Dynamic simulation and testing for single-equation ARDL models S Jordan, AQ Philips R package version 0.1 11, 2020 | 7 | 2020 |
A moveable benefit? Spillover effects of quotas on women’s numerical representation KP Kaur, AQ Philips Political Research Quarterly 76 (2), 680-696, 2023 | 5 | 2023 |