Replication to assess statistical adequacy

Dorian Owen

Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), 2018, vol. 12, No 2018-60, 16 pages

Abstract: "Statistical adequacy" is an important prerequisite for securing reliable inference in empirical modelling. This paper argues for more emphasis on replication that specifically assesses whether the results reported in empirical studies are based on statistically adequate models, i.e., models with valid underpinning statistical assumptions that pass relevant diagnostic tests for misspecification. A replication plan is briefly outlined to illustrate what this would involve in practice in the context of a specific study by Acemoglu, Gallego and Robinson (Institutions, human capital, and development, Annual Review of Economics, 2014).

Keywords: Replication; statistical adequacy; reliability of inference; science trustworthy-ness; misspecification testing; instrumental variables; reduced form; fundamental determinants of economic development (search for similar items in EconPapers)
JEL-codes: C31 C36 I25 O10 P14 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (5)

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Working Paper: Replication to assess statistical adequacy (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:ifweej:201860

DOI: 10.5018/economics-ejournal.ja.2018-60

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