The Replication Network
Furthering the Practice of Replication in Economics
Category: GUEST BLOGS
AoI*: “Predicting the replicability of social and behavioural science claims in COVID-19 preprints” by Marcoci et al. (2024)
[*AoI = “Articles of Interest” is a feature of TRN where we report abstracts of recent research related to replication and research integrity.] ABSTRACT (taken from the article) “We elicited judgements from participants on 100 claims from preprints about an emerging…
Read MoreREED: Do a DAG Before You Do a Specification Curve Analysis
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 MoreREED: Using the Stata Package “speccurve” to Do Specification Curve Analysis
NOTE: 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 MoreREED: Using the R Package “specr” To Do Specification Curve Analysis
NOTE: 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 MoreREED & LOGCHIES: Calculating Power After Estimation – No Programming Necessary!
Introduction. Your analysis produces a statistically insignificant estimate. Is it because the effect is negligibly different from zero? Or because your research design does not have sufficient power to achieve statistical significance? Alternatively, you read that “The median statistical power…
Read MoreREED: Calculating Power After Estimation – Everybody Should Do This!
So your estimate is statistically insignificant and you’re wondering: Is it because the effect size is small, or does my study have too little power? In Tian et al. (2024), we propose a simple method for calculating statistical power after…
Read MoreCOUPÉ: Why You Should Use Quarto to Make Your Papers More Replicable (and Your Life Easier!)
An important part of writing a paper is polishing the paper. You start with a first draft but then you find small mistakes, things to add or to remove. Which leads to redoing the analysis and a second, third and…
Read MoreAoI*: “The Robustness Reproducibility of the American Economic Review” by Campbell et al. (2024)
[*AoI = “Articles of Interest” is a feature of TRN where we report abstracts of recent research related to replication and research integrity.] ABSTRACT (taken from the article) “We estimate the robustness reproducibility of key results from 17 non-experimental AER…
Read MoreCOUPÉ: Why You Should Add a Specification Curve Analysis to Your Replications – and All Your Papers!
When 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,…
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The Replication Network 
WESSELBAUM: JCRE – An Outlet for Your Replications
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Replication studies play a crucial role in economics by ensuring the reliability, validity, and robustness of research findings. In an era where policy decisions and societal interventions heavily rely on economic research, the ability to replicate and validate research findings…
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