U Iowa Home Page

Political Science

Contact Info

347 Schaeffer Hall

319-335-2348

timothy-hagle@uiowa.edu

Twitter: @ProfHagle

Spring 2017 Office Hours

Tue & Th: 4:45-6:15

Mailing Address

Dept of Political Science

341 Schaeffer Hall

20 E. Washington Street

The University of Iowa

Iowa City, Iowa 52242

New book, Iowa Votes, published for Kindle devices and computers with Kindle reader.

Iowa Voting Series Paper 11: This paper examines early voting in Johnson County, updated with 2016 data.

Posted New book in What I'm Reading.

Iowa Voting Series Paper 8: This paper estimates the distribution of No Party votes in general elections, data now from 1982 to 2016.

Posted Book info for Fall 2017 courses.

Iowa Voting Series Paper 7

This paper looks at voter distributions by party, age group, and sex, data now from 1982 to 2016.

Iowa Voting Series Paper 6 This paper looks at absentee voting by party, age group, and sex, data now from 1988 to 2016.

Iowa Voting Series Paper 5 This paper looks at voter turnout by sex, age group, and party, data now from 1982 to 2016.

Posted Fall 2016 teaching evaluations.

My books

This page contains some miscellaneous judicial papers that have not been published elsewhere.

Should I Stay or Should I Go?  The Clash of Views on Supreme Court Retirements

Note: The paper below is an update and revisiting of my earlier paper "Strategic Retirements: A Political Model of Turnover on the United States Supreme Court" which you can find on JSTOR here.  The earlier paper was published in 1993.  The one below updates the data through 2008 and presents a new model.

Abstract: Hagle (1993) constructed a model to test whether Supreme Court justices engage in strategic behavior in their retirements. The model included several political variables that proved highly significant and supported the hypothesis. Since Hagle’s study, research works by Atkinson (1999), Brenner (1999), and Ward (2003) have examined the departures of Supreme Court justices in detail and have called into question whether political motivations influence the justices’ retirement decisions. Using Hagle’s model as a starting point, this study examines recent research, updates the data, and tests two new variables. The model is again estimated using Poisson regression. The model and the political variables, continue to be highly significant with the new data and one of the two new variables adds to the model’s explanatory power.