The Impression of Influence
By Justin Grimmer, Sean J. Westwood, Solomon Messing. 2014
89 citations recorded by the source corpus.
List of Illustrations ix List of Tables xi Acknowledgments xiii 1 Representation, Spending, and the Personal Vote 1 2 Solving the Representative's Problem and Creating the Representative's Opportunity 15 3 How Legislators Create an Impression of Influence 32 4 Creating an Impression, Not Just Increasing Name Recognition 64 5 Cultivating an Impression of Influence with Actions and Small Expenditures 81 6 Credit, Deception, and Institutional Design 121 7 Criticism and Credit: How Deficit Implications Undermine Credit Allocation 148 8 Representation and the Impression of Influence 174 9 Text as Data: Methods Appendix 186 Bibliography 189 Index 203
Subfields: Political Science and International Relations, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/24d8bc4cd7750fee4dbaacac895bb26ac86d62a6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Political Science and International Relations
- Solomon Messing
- Sean J. Westwood
- Justin Grimmer
- Brandon M Stewart
- Margaret E. Roberts
- Matthew J. Denny
- Yang Bao
- Arthur Spirling
In Sociology and Political Science
- Solomon Messing
- Sean J. Westwood
- Justin Grimmer
- Brandon M Stewart
- Margaret E. Roberts
- David M. J. Lazer
- Seshadri Tirunillai
- Gerard J. Tellis
Citations in the corpus
- Estimating Heterogeneous Treatment Effects and the Effects of Heterogeneous Treatments with Ensemble Methods (2017, methodology): “…(2014) argue that legislators’ credit claiming statements—a message that legislators use to create the impression they are responsible for some government action—to receive credit for spending in the district and to cultivate a personal vote (Mayhew 1974; Grimmer, Westwood, and Messing 2014).”
- Sociology in the Era of Big Data: The Ascent of Forensic Social Science (2015, unknown): “Political scientists and pollsters alike can examine debate recordings, transcripts, blogs, opinions, C-Span recordings, legislation, tweets, ongoing polls, and betting on vote outcomes (Grimmer et al. 2014).”