 Outcome-free Design of Observational Studies: Peer Influence on SmokingSophie Langenskiöld and Donald B. Rubin Annals of Economics and Statistics, 2008, issue 91-92, 107-125 Abstract: For estimating causal effects of treatments, randomized experiments are appropriately considered the gold standard, although they are often infeasible for a variety of reasons. Nevertheless, nonrandomized studies can and should be designed to approximate randomized experiments by using only background information to create subgroups of similar treated and control units, where "similar" here refers to their distributions of background variables. This activity should be conducted without access to any outcome data to assure the objectivity of the design. In many situations, these goals can be accomplished using propensity score methods, as illustrated here in the context of a study on whether nonsmoking Harvard freshmen are influenced by their smoking peers. In that study, propensity score methods were used to create matched groups of treated units (rooming with at least one smoker) and control units (rooming with only non-smokers) who are at least as similar with respect to their distributions of observed background characteristics as if they had been randomized, thereby approximating a randomized experiment with respect to the observed covariates. Date: 2008 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:adr:anecst:y:2008:i:91-92:p:107-125 Access Statistics for this article Annals of Economics and Statistics is currently edited by Laurent Linnemer More articles in Annals of Economics and Statistics from GENES Contact information at EDIRC. |
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