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

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 statistical techniques for handling experimental measurement error. These techniques are a...

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Publicado en:Journal of Political Economy Vol. 127; no. 4; pp. 1826 - 1864
Autores principales: Gillen, Ben, Snowberg, Erik, Yariv, Leeat
Formato: Artículo
Publicado: University of Chicago Press Aug2019
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Experimenting with Measurement Error: Techniques with Applications to the Caltech Cohort Study.
      aug:
        au:
          Gillen, Ben
          Snowberg, Erik
          Yariv, Leeat
        affil:
          Claremont McKenna College
          California Institute of Technology, University of British Columbia, and National Bureau of Economic Research
          Princeton University, Centre for Economic Policy Research, and National Bureau of Economic Research
      su:
        Cohort analysis
        Measurement errors
        Student surveys
      sug:
        subj:
          Cohort analysis
          Measurement errors
          Student surveys
      ab: 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 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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