Which tests not witch hunts: a diagnostic approach for conducting replication research

Annette Brown and Benjamin Wood

No 2017-77, Economics Discussion Papers from Kiel Institute for the World Economy (IfW Kiel)

Abstract: This paper provides researchers with an objective list of checks to consider when planning a replication study with the objective of validating findings for informing policy. These replication studies should begin with a pure replication of the published results and then reanalyse the original data to address the original research question. The author presents tips for replication exercises in four categories: validity of assumptions, data transformations, estimation methods, and heterogeneous impacts. For each category he offers an introduction, a tips checklist, some examples of how these checks have been employed, and a set of resources that provide statistical and econometric details.

Keywords: Replication; diagnostic; validation; impact evaluation; reanalysis; risk of bias (search for similar items in EconPapers)
JEL-codes: A20 B41 C10 (search for similar items in EconPapers)
Date: 2017
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (3)

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http://www.economics-ejournal.org/economics/discussionpapers/2017-77
https://www.econstor.eu/bitstream/10419/169136/1/898640105.pdf (application/pdf)

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Journal Article: Which tests not witch hunts: A diagnostic approach for conducting replication research (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:ifwedp:201777

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