Which tests not witch hunts: a diagnostic approach for conducting replication research
Annette Brown () and
No 2017-77, Economics Discussion Papers from Kiel Institute for the World Economy (IfW)
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: C10 B41 A20 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
Journal Article: Which tests not witch hunts: A diagnostic approach for conducting replication research (2018)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:zbw:ifwedp:201777
Access Statistics for this paper
More papers in Economics Discussion Papers from Kiel Institute for the World Economy (IfW) Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().