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The Influence of Hidden Researcher Decisions in Applied Microeconomics

Nick Huntington-Klein (), Andreu Arenas (), Emily A. Beam (), Marco Bertoni (), Jeffrey Bloem, Pralhad Burli (), Naibin Chen, Paul Greico (), Godwin Ekpe, Todd Pugatch, Martin Saavedra () and Yaniv Stopnitzky
Additional contact information
Emily A. Beam: University of Vermont
Pralhad Burli: Idaho National Laboratory
Naibin Chen: Pennsylvania State University
Paul Greico: Pennsylvania State University
Godwin Ekpe: Northern Illinois University
Yaniv Stopnitzky: University of San Francisco

No 13233, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: Researchers make hundreds of decisions about data collection, preparation, and analysis in their research. We use a many-analysts approach to measure the extent and impact of these decisions. Two published causal empirical results are replicated by seven replicators each. We find large differences in data preparation and analysis decisions, many of which would not likely be reported in a publication. No two replicators reported the same sample size. Statistical significance varied across replications, and for one of the studies the effect's sign varied as well. The standard deviation of estimates across replications was 3-4 times the typical reported standard error.

Keywords: replication; metascience; research (search for similar items in EconPapers)
JEL-codes: C81 C10 B41 (search for similar items in EconPapers)
Pages: 42 pages
Date: 2020-05
New Economics Papers: this item is included in nep-sog and nep-tid
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