Justin Grimmer
Justin Grimmer
Morris M. Doyle Centennial Professor. Senior Fellow, Hoover Institution. Stanford University
Verified email at - Homepage
Cited by
Cited by
Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts
J Grimmer, BM Stewart
A Bayesian hierarchical topic model for political texts: Measuring expressed agendas in Senate press releases
J Grimmer
Political Analysis 18 (1), 1-35, 2010
Representational style in Congress: What legislators say and why it matters
J Grimmer
Cambridge University Press, 2013
How words and money cultivate a personal vote: The effect of legislator credit claiming on constituent credit allocation
J Grimmer, S Messing, SJ Westwood
American Political Science Review 106 (4), 703-719, 2012
We are all social scientists now: How big data, machine learning, and causal inference work together
J Grimmer
PS: Political Science & Politics 48 (1), 80-83, 2015
General purpose computer-assisted clustering and conceptualization
J Grimmer, G King
Proceedings of the National Academy of Sciences 108 (7), 2643, 2011
Appropriators not position takers: The distorting effects of electoral incentives on congressional representation
J Grimmer
American Journal of Political Science 57 (3), 624-642, 2013
Money in exile: Campaign contributions and committee access
EN Powell, J Grimmer
The Journal of Politics 78 (4), 974-988, 2016
Machine learning for social science: An agnostic approach
J Grimmer, ME Roberts, BM Stewart
Annual Review of Political Science 24, 395-419, 2021
Estimating heterogeneous treatment effects and the effects of heterogeneous treatments with ensemble methods
J Grimmer, S Messing, SJ Westwood
Political Analysis 25 (4), 413-434, 2017
Are Close Elections Random?
J Grimmer, E Hersh, B Feinstein, D Carpenter
Unpublished manuscript, 2011
The impression of influence: legislator communication, representation, and democratic accountability
J Grimmer, SJ Westwood, S Messing
Princeton University Press, 2014
How to make causal inferences using texts
N Egami, CJ Fong, J Grimmer, ME Roberts, BM Stewart
Science Advances 8 (42), eabg2652, 2022
Text as data: A new framework for machine learning and the social sciences
J Grimmer, ME Roberts, BM Stewart
Princeton University Press, 2022
Obstacles to estimating voter ID laws’ effect on turnout
J Grimmer, E Hersh, M Meredith, J Mummolo, C Nall
An Introduction to Bayesian Inference via Variational Approximations
J Grimmer
Political Analysis 19 (1), 32, 2011
Causal inference in natural language processing: Estimation, prediction, interpretation and beyond
A Feder, KA Keith, E Manzoor, R Pryzant, D Sridhar, Z Wood-Doughty, ...
Transactions of the Association for Computational Linguistics 10, 1138-1158, 2022
Congressmen in exile: The politics and consequences of involuntary committee removal
J Grimmer, EN Powell
The Journal of Politics 75 (4), 907-920, 2013
Mirrors for princes and sultans: advice on the art of governance in the medieval Christian and Islamic worlds
L Blaydes, J Grimmer, A McQueen
The Journal of Politics 80 (4), 1150-1167, 2018
TopicCheck: Interactive alignment for assessing topic model stability
J Chuang, ME Roberts, BM Stewart, R Weiss, D Tingley, J Grimmer, ...
Proceedings of the 2015 Conference of the North American Chapter of the …, 2015
The system can't perform the operation now. Try again later.
Articles 1–20