Jonathan Mummolo

Stanford University, Department of Political Science, Students

PhD Candidate

Stanford, CA 94305

United States

SCHOLARLY PAPERS

7

DOWNLOADS
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in Total Papers Downloads

1,998

CITATIONS

0

Scholarly Papers (7)

1.

Evaluating the Substantive Significance of Linear Fixed Effects Regression Results

Number of pages: 31 Posted: 02 Sep 2013 Last Revised: 05 Sep 2013
Jonathan Mummolo and Erik Peterson
Stanford University, Department of Political Science, Students and Stanford University, Department of Political Science, Students
Downloads 21 (380,750)

Abstract:

fixed effects, substantive significance, reliability, linear regression

2.

Demand Effects in Survey Experiments: An Empirical Assessment

Number of pages: 30 Posted: 22 Apr 2017
Jonathan Mummolo and Erik Peterson
Stanford University, Department of Political Science, Students and Stanford University, Department of Political Science, Students
Downloads 0 (480,781)

Abstract:

survey experiment, demand effects, survey methods

3.

Can New Procedures Improve the Quality of Policing? The Case of 'Stop, Question and Frisk' in New York City

Number of pages: 54 Posted: 03 Mar 2016
Jonathan Mummolo
Stanford University, Department of Political Science, Students
Downloads 0 (377,017)

Abstract:

police, stop and frisk, bureaucracy

4.

News from the Other Side: How Topic Relevance Limits the Prevalence of Partisan Selective Exposure

Journal of Politics, Forthcoming
Number of pages: 69 Posted: 02 Mar 2016
Jonathan Mummolo
Stanford University, Department of Political Science, Students
Downloads 0 (428,746)

Abstract:

partisan selective exposure, media consumption, issue publics

5.

Informing the Informed: How Content Preferences Limit the Impact of Voting Aids

Number of pages: 42 Posted: 01 Mar 2016
Jonathan Mummolo and Erik Peterson
Stanford University, Department of Political Science, Students and Stanford University, Department of Political Science, Students
Downloads 0 (423,728)

Abstract:

media consumption, field experiments, newspapers, voting aids

6.

How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice

Number of pages: 146 Posted: 29 Feb 2016 Last Revised: 13 Feb 2017
Jens Hainmueller, Jonathan Mummolo and Yiqing Xu
Stanford University - Department of Political Science, Stanford University, Department of Political Science, Students and University of California, San Diego
Downloads 0 (6,406)

Abstract:

interaction effects, regression models, conditional hypothesis

7.

Tea Party Influence: A Story of Activists and Elites

Bailey, Michael A., Jonathan Mummolo, and Hans Noel. 2012. "Tea Party influence: A story of activists and elites." American Politics Research 40(5): 769-804.
Number of pages: 37 Posted: 29 Feb 2016
Michael Bailey, Jonathan Mummolo and Hans Noel
Georgetown University - Department of Government, Stanford University, Department of Political Science, Students and Georgetown University
Downloads 0 (501,297)

Abstract:

Tea Party, Congress, elections