Chloé Cooper Jones
VerifiedColumbia University · Music
Active 1954–2024
Research topics
- Computer Science
- Mathematics
- Statistics
- Biology
- Demography
- Econometrics
Selected publications
The Journal of Finance · 2024 · 85 citations
- Computer Science
- Econometrics
- Statistics
ABSTRACT In statistics, samples are drawn from a population in a data‐generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence‐generating process (EGP). We claim that EGP variation across researchers adds uncertainty—nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer‐review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.
Frequent coauthors
- 49 shared
Terrence Hendershott
University of California, Berkeley
- 46 shared
Carole Comerton‐Forde
University of Melbourne
- 38 shared
Pamela C. Moulton
- 21 shared
Owen Lamont
- 21 shared
Mark S. Seasholes
William Carey University
- 18 shared
Xiaoyan Zhang
- 16 shared
Thanos Athanasiou
Imperial College London
- 15 shared
Matthew W. Parker
Education
- 2012
Doctorate of Pharmacy (PharmD), Pharmacy
University of Connecticut
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