University of San Francisco - Department of Economics
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.
Huntington-Klein, Nick and Arenas, Andreu and Beam, Emily and Bertoni, Marco and Bloem, Jeffrey and Burli, Pralhad H and Chen, Naibin and Grieco, Paul L.E. and Ekpe, Godwin and Pugatch, Todd and Saavedra, Martin Hugo and Stopnitzky, Yaniv, The Influence of Hidden Researcher Decisions in Applied Microeconomics. IZA Discussion Paper No. 13233, Available at SSRN: https://ssrn.com/abstract=3602409 or http://dx.doi.org/10.2139/ssrn.3602409
Econometrics: Data Collection & Data Estimation Methodology eJournal
Subscribe to this fee journal for more curated articles on this topic
FOLLOWERS
1,505
PAPERS
2,669
Feedback
Feedback to SSRN
If you need immediate assistance, call 877-SSRNHelp (877 777 6435) in the United States, or +1 212 448 2500 outside of the United States, 8:30AM to 6:00PM U.S. Eastern, Monday - Friday.