Experimenting with Measurement Error: Techniques with Applications to the Caltech Cohort Study

TitleExperimenting with Measurement Error: Techniques with Applications to the Caltech Cohort Study
Publication TypeJournal Article
Year of Publication2018
AuthorsGillen B, Snowberg E, Yariv L
JournalJournal of Political Economy
Paginationforthcoming
ISSN1098-6596
ISBN Number9788578110796
KeywordsAmbiguity, Competition, Experiments, Measurement Error, ORIV, Risk
AbstractMeasurement error is ubiquitous in experimental work. It leads to imperfect statistical controls, attenuated estimated effects of elicited behaviors, and biased correlations between characteristics. We develop statistical techniques for handling experimental measurement error. These techniques are applied to data from the Caltech Cohort Study, which conducts repeated incentivized surveys of the Caltech student body. We replicate three classic experiments, demonstrating that results change substantially when measurement error is accounted for. Collectively, these results show that failing to properly account for measurement error may cause a field-wide bias leading scholars to identify “new” phenomena.
URLhttp://www.nber.org/papers/w21517
DOI10.1017/CBO9781107415324.004
PubMed ID25246403