Previous versions of this research were presented at the 2009 annual meetings of the Midwest and American Political Science Associations, as well as the 2009 Summer Meeting of the Society for Political Methodology and the Georgetown University Political Economy Seminar. The authors wish to thank Fernando Ferreira, Joseph Gyourko, and Justin Phillips for sharing data as well as Michael Bailey, Christopher Berry, Devin Caughey, Donald P. Green, Jonathan M. Ladd, Gabriel Lenz, Marc Meredith, Anirudh Ruhil, Jessica Trounstine, and Carol Weissert for comments or other assistance. The authors thank MIT for institutional support. Katherine T. McCabe contributed with thoughtful and tireless research assistance. We are grateful as well to AJPS editor Rick Wilson and the anonymous reviewers.
When Mayors Matter: Estimating the Impact of Mayoral Partisanship on City Policy
Article first published online: 1 FEB 2011
©2011, Midwest Political Science Association
American Journal of Political Science
Volume 55, Issue 2, pages 326–339, April 2011
How to Cite
Gerber, E. R. and Hopkins, D. J. (2011), When Mayors Matter: Estimating the Impact of Mayoral Partisanship on City Policy. American Journal of Political Science, 55: 326–339. doi: 10.1111/j.1540-5907.2010.00499.x
- Issue published online: 1 APR 2011
- Article first published online: 1 FEB 2011
Table 1: Descriptive Statistics, Independent Variables, 134 City Elections
Table 2: Descriptive Statistics, Dependent Variables, 134 City Elections
Table 3: OLS Estimates, DV = Changes in the Share of Spending on Fire, 134 City Elections
Table 4: Full List of City Elections
Figure 1: OLS Estimates, Effect of a Democratic Victory on Police Spending. Conditional on the inclusion of potential confounding variables.
Figure 2: OLS Estimates, Placebo Tests, DV = Covariates, IV = Democratic Victory
Figure 3: OLS Estimates, Comparisons with Ferriera and Gyourko (2009)'s data set. The dependent variable is the change in the three-year share of expenditures on the police. The models include only the percent Democratic, an indictor for a Democratic victory, and various functions of those variables.
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