Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/183497
Authors: 
Owen, P. Dorian
Year of Publication: 
2018
Citation: 
[Journal:] Economics: The Open-Access, Open-Assessment E-Journal [ISSN:] 1864-6042 [Volume:] 12 [Year:] 2018 [Issue:] 2018-60 [Pages:] 1-16
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).
Subjects: 
Replication
statistical adequacy
reliability of inference
science trustworthy-ness
misspecification testing
instrumental variables
reduced form
fundamental determinants of economic development
JEL: 
C31
C36
I25
P14
O10
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by/4.0/
Document Type: 
Article

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