1 option
Experimenting with Measurement Error: Techniques with Applications to the Caltech Cohort Study / Ben Gillen, Erik Snowberg, Leeat Yariv.
- Format:
- Book
- Author/Creator:
- Gillen, Ben.
- Series:
- Working Paper Series (National Bureau of Economic Research) no. w21517.
- NBER working paper series no. w21517
- Language:
- English
- Physical Description:
- 1 online resource: illustrations (black and white);
- Other Title:
- Experimenting with Measurement Error
- Place of Publication:
- Cambridge, Mass. National Bureau of Economic Research 2015.
- Summary:
- Measurement 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 simple statistical techniques for dealing with 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 illustrate the impact of measurement error by replicating three classic experiments, and showing that results change substantially when measurement error is taken into account. Collectively, these results show that failing to properly account for measurement error may cause a field-wide bias: it may lead scholars to identify "new" effects and phenomena that are actually similar to those previously documented.
- Notes:
- Print version record
- September 2015.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.