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Replication data for: Replication in Labor Economics: Evidence from Data, and What It Suggests

Version
V0
Resource Type
Dataset
Creator
  • Hamermesh, Daniel S.
Publication Date
2017-05-01
Description
  • Abstract

    Examining the most heavily cited publications in labor economics from the early 1990s, I show that few of over 3,000 articles, citing them directly, replicates them. They are replicated more frequently using data from other time periods and economies, so that the validity of their central ideas has typically been verified. This pattern of scholarship suggests, beyond the currently required depositing of data and code upon publication, that there is little need for formal mechanisms for replication. The market for scholarship already produces replications of non-laboratory applied research.
Availability
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Relations
  • Is supplement to
    DOI: 10.1257/aer.p20171121 (Text)
Publications
  • Hamermesh, Daniel S. “Replication in Labor Economics: Evidence from Data and What It Suggests.” American Economic Review 107, no. 5 (May 2017): 37–40. https://doi.org/10.1257/aer.p20171121.
    • ID: 10.1257/aer.p20171121 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-12

Hamermesh, Daniel S. (2017): Replication data for: Replication in Labor Economics: Evidence from Data, and What It Suggests. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E113534