Detecting Spillover Effects: Design and Analysis of Multilevel Experiments

By Betsy Sinclair, Margaret McConnell, Donald P. Green. 2012

219 citations recorded by the source corpus.

Subfields: Education, Political Science and International Relations, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/3224333542c876eabfb4210f781414f3eb1783a2

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Citations in the corpus

Four Ways We Can Improve Policy Diffusion Research (2016, background): “Sinclair, McConnell, and Green (2012) put forward a multilevel experimental design to test spillover effects that could be adapted to study policy diffusion if a meaningful intervention can be rolled out in several locations, whereas Bowers, Fredrickson, and Panagopoulos (2013) developed a general…”
Field Experiments and the Study of Voter Turnout (2013, background): “Using a social pressure mailing, Sinclair et al. (2012), for example, randomly vary the proportion of residents within nine-digit zip codes that receives treatment and randomly vary which member of a multi-voter household receives treatment.”
Identification and Estimation of Spillover Effects in Randomized Experiments (2017, background): “(3) For recent examples of this or similar strategies, see Ichino and Schündeln (2012); Sinclair, McConnell, and Green (2012), Beuermann, Cristia, Cueto, Malamud, and Cruz-Aguayo (2015), Beshears, Choi, Laibson, Madrian, and Milkman (2015) and Giné and Mansuri (2018), among others.”
Large sample randomization inference of causal effects in the presence of interference (2014, unknown): “Sinclair et al. (2012) conducted a two stage randomization experiment to determine the direct and indirect (or `spillover') effects of social pressure mailings on voter mobilization in a special election in 2009.”
The Statistics of Causal Inference: A View from Political Methodology (2015, unknown): “Taking interference into account is currently a very active area of research in both the social sciences and statistics (Sinclair, McConnell, and Green, 2012; Tchetgen and VanderWeele 2012; Bowers, Fredrickson, and Panagopoulos 2013).”
Is Voting Habit Forming? New Evidence from Experiments and Regression Discontinuities (2016, methodology): “…solely on the effects of receiving the mailer directly as opposed to being in an untreated household; we ignore whether one’s neighbors receive mailings (which Sinclair, McConnell, and Green 2012 found to have no effect) and exclude indirectly treated individuals whose housemates received mailings.”
Geographic Boundaries as Regression Discontinuities (2015, background): “Recent work designed to detect treatment spillovers in the context of turnout finds little evidence of contagion (Sinclair, McConnell, and Green 2012).”
Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference (2020, background): “First, there has been a growing body of work on the design of novel randomization schemes to perform causal inference under interference (Liu and Hudgens, 2014; Sinclair et al., 2012; Duﬂo and Saez, 2003; Basse and Airoldi, 2018).”