My previous two blogs focused on how to do a specification curve analysis (SCA) using the R package “specr” (here) and the Stata program “speccurve” (here). Both blogs provided line-by-line explanations of code that allowed one to reproduce the specification…
Read MoreNOTE: The data (“COUPE.dta”) and code (“speccurve_program.do”) used for this blog can be found here: https://osf.io/4yrxs/ In a previous post (see here), I provided a step-by-step procedure for using the R package “specr”. The specific application was reproducing the specification…
Read MoreNOTE: The data (“COUPE.Rdata”) and code (“specr_code.R”) used for this blog can be found here: https://osf.io/e8mcf/ A Tutorial on “specr” In a recent post, Tom Coupé encouraged readers to create specification curves to represent the robustness of their results (or…
Read MoreWhen making a conclusion based on a regression, we typically need to assume that the specification we use is the ‘correct’ specification. That is, we include the right control variables, use the right estimation technique, apply the right standard errors,…
Read More[Excerpts taken from the working paper “Replicator Degrees of Freedom Allow Publication of Misleading “Failures to Replicate” by Christopher Bryan, David Yeager, and Joseph O’Brien, posted at SSRN] “…using data from an ongoing debate, we show that commonly-exercised flexibility at…
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