Is Voting Contagious? Evidence from Two Field Experiments
By David W. Nickerson. 2008
557 citations recorded by the source corpus.
Subfields: Political Science and International Relations, Safety Research, Sociology and Political Science
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
- Donald P. Green
- Elizabeth Suhay
- James H. Fowler
- Christopher B. Mann
- T. Fujiwara
- Kyle C. Meng
- Tom Vogl
- Kosuke Imai
In Safety Research
- James H. Fowler
- Nicholas A. Christakis
- Kosuke Imai
- Christopher B. Mann
- T. Fujiwara
- Tom Vogl
- Kyle C. Meng
- Maria Abascal
In Sociology and Political Science
- James H. Fowler
- Nicholas A. Christakis
- V. Pons
- Donald P. Green
- Elizabeth Suhay
- Dean Eckles
- David M. J. Lazer
- Kosuke Imai
Citations in the corpus
- Estimating treatment effect heterogeneity in randomized program evaluation (2013, background): “It is known in the GOTV literature that there is substantial interference among voters in the same household [Nickerson (2008)].”
- Is There Backlash to Social Pressure? A Large-scale Field Experiment on Voter Mobilization (2010, background): “(2008) report clustered standard errors to account for correlation within a household (Nickerson 2008; Arceneaux 2005).”
- Estimating peer effects in networks with peer encouragement designs (2016, background): “Recent work by economists and political scientists has examined such spill-over effects within groups (40 – 44) or in a social network (45 – 47).”
- How Do Voters Respond to Information? Evidence from a Randomized Campaign (2013, unknown): “Remaining errors are ours and follow a random walk.”
- Large sample randomization inference of causal effects in the presence of interference (2014, methodology): “Point estimates as well as Wald and Chebyshev 90% CIs for the different voting encouragement effects are given in Table 5 (90% CIs were computed following Nickerson (2008), who interpreted p-values of hypothesis tests for secondary effects at the γ = 0.1 level).”
- Explaining Group Influence: The Role of Identity and Emotion in Political Conformity and Polarization (2015, background): “…discussion within social networks (e.g., Huckfeldt and Sprague 1995; McClurg 2006; Sinclair 2012; Sokhey and Djupe 2011) or conformity to social norms (e.g., Bolsen 2013; Gerber, Green, and Larimer 2008; Mutz 1998; Nadeau, Cloutier, and Guay 1993; Nickerson 2008; Noelle-Neuman 1993; Walsh 2003).”
- Gender differences in COVID-19 attitudes and behavior: Panel evidence from eight countries (2020, background): “This echoes evidence of similar transmission patterns for other types of beliefs and behavior, such as voting or using drugs (25, 26).”
- Social contagion theory: examining dynamic social networks and human behavior (2011, background): “experimental data helps a lot here too, as in [3, 6, 7, 53, 54].”
- Estimation of Heterogeneous Treatment Effects from Randomized Experiments, with Application to the Optimal Planning of the Get-Out-the-Vote Campaign (2011, methodology): “We discuss our methodology in the context of getout-the-vote randomized field experiments and show how the proposed two-step framework can be applied in real-world settings.”
- Detecting Spillover Effects: Design and Analysis of Multilevel Experiments (2012, background): “One of the rare exceptions is the voter-mobilization experiment conducted by Nickerson (2008), which shows that the effects of door-to-door canvassing are transmitted within two-voter households.”