Experimenting with measurement error: Techniques with applications to the caltech cohort study

Ben Gillen, Erik Snowberg, Leeat Yariv

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

Measurement error is ubiquitous in experimental work. It leads to imperfect statistical controls, attenuated estimated effects of elicited be-haviors, 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.

Original languageEnglish (US)
Pages (from-to)1826-1863
Number of pages38
JournalJournal of Political Economy
Volume127
Issue number4
DOIs
StatePublished - Aug 1 2019

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics

Fingerprint Dive into the research topics of 'Experimenting with measurement error: Techniques with applications to the caltech cohort study'. Together they form a unique fingerprint.

  • Cite this