Field Experiments: Design, Analysis, and Interpretation

By A. Gerber, Donald P. Green. 2012

1,071 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c9db2729c4862baff84290b49991cb57a10eba9a

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Citations in the corpus

Turnout, Status, and Identity: Mobilizing Latinos to Vote with Group Appeals (2016, unknown): “treatment effects (Gerber and Green 2012; Nickerson 2005).”
Difference-in-differences techniques for spatial data: Local autocorrelation and spatial interaction ☆ (2015, background): “The latter are sometimes referred to as “spillovers” or “network effects”, resulting from contagion, displacement, communication, social comparison, or signaling (Gerber and Green, 2012).”
Can Social Contact Reduce Prejudice and Discrimination? Evidence from a Field Experiment in Nigeria (2018, background): “8 The complier average causal effect (CACE), or local average treatment effect (LATE), is always larger than the ITT under one-sided noncompliance (Gerber and Green 2012).”
Making Contextual Decisions with Low Technical Debt (2016, background): “It is routinely used in medicine and social science, and has become standard in many Internet services [29, 28], as well supported by statistical theory [21].”
Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments (2013, background): “Gerber and Green (2012) make a similar point about multi-factor experiments, though without much elaboration: “[i]f the different versions of the treatment do appear to have different effects, remember that the average effect of your treatment is a weighted average of the ATEs for each version.”
Does Electoral Competition Exacerbate Interethnic or Interpartisan Economic Discrimination? Evidence from a Field Experiment in Market Price Bargaining (2015, methodology): “The better the experimental design achieves causal validity ex ante, the less one must rely on control techniques (e.g., matching or regression) in the estimation phase to “make up” for design flaws (Gerber and Green 2012; Morton and Williams 2010).”
Impact of Village Savings and Loan Associations: Evidence from a cluster randomized trial (2016, background): “However, compliance with the treatment is not perfect, and the randomization suffers from two-sided non-compliance (Gerber and Green, 2012).”
The consequences of online partisan media (2021, methodology): “To estimate the treatment effect among compliers, or the CACE, we also use an instrumental-variables framework (56).”
Discovery of Treatments from Text Corpora (2016, background): “Randomized experiments are the gold standard for overcoming this problem (Gerber and Green, 2012).”
Foreign Aid, Foreign Policy, and Domestic Government Legitimacy: Experimental Evidence from Bangladesh (2018, methodology): “In the appendix, we also estimate plausible complier average causal effects (CACEs) following the instrumental variable framework suggested by Gerber and Green (2012) using a set of assumptions about noncompliance in the treatment group.”