The Replication Network
Furthering the Practice of Replication in Economics
Category: GUEST BLOGS
REED: EiR* — Replications and DAGs
[* EiR = Econometrics in Replications, a feature of TRN that highlights useful econometrics procedures for re-analysing existing research.] In recent years, DAGs (Directed Acyclic Graphs) have received increased attention in the medical and social sciences as a tool for…
Read MoreFIALA: Is the Evidence for the Lack of Impact of Microfinance Just a Design Problem?
Microfinance is one of the most hotly debated interventions in developing countries over the last 20 years. These are generally small loans, often given to women with short repayment periods and high interest rates (though often much lower than local…
Read MoreTOL: Special Issue on Replication at Energy Economics
Replication is important. Many journals in economics, including Energy Economics, now insist on papers being published together with a replication package, and a few journals check that package prior to publication. This is a world apart from the common practice…
Read MoreGOODMAN: Ladies and Gentlemen, I Introduce to You, “Plausibility Limits”
Confidence intervals get top billing as the alternative to significance. But beware: confidence intervals rely on the same math as significance and share the same shortcominings. Confidence intervals don’t tell where the true effect lies even probabilistically. What they do…
Read MoreREED: EiR* – More on Heterogeneity in Two-Way Fixed Effects Models
[* EiR = Econometrics in Replications, a feature of TRN that highlights useful econometrics procedures for re-analysing existing research. The material for this blog is primarily drawn from the recent working paper “Difference-in-differences with variation in treatment timing” by Andrew…
Read MoreGOODMAN: What’s the True Effect Size? It Depends What You Think
What’s the true effect size? That’s my bottom line question when doing a study or reading a paper. I don’t expect an exact answer, of course. What I want is a probability distribution telling where the true effect size probably…
Read MorePFEIFFER: Taking Replication Markets To a Whole New Level
Replication markets are prediction markets run in conjunction with systematic replication projects. We conducted such markets for the Replication Project: Psychology (RPP), Experimental Economics Replication Project (EERP), Social Science Replication Project (SSRP) and the Many Labs 2 Project (ML2). The…
Read MoreFIDLER & MODY: The repliCATS Bus – Where It’s Been, Where It’s Going
For several years now scientists—in at least some disciplines—have been concerned about low rates of replicability. As scientists in those fields, we worry about the development of cumulative knowledge, and about wasted research effort. An additional challenge is to consider…
Read MoreREED: EiR* – How to Measure the Importance of Variables in Regression Equations
[* EiR = Econometrics in Replications, a feature of TRN that highlights useful econometrics procedures for re-analysing existing research. The material for this blog is drawn from a recent working paper, “On the measurement of importance” by Olivier Sterck.] NOTE:…
Read MoreREED: EIR* – Interval Testing
[* EIR = Econometrics in Replications, a feature of TRN that highlights useful econometrics procedures for re-analysing existing research. The material for this blog is motivated by a recent blog at TRN, “The problem isn’t just the p-value, it’s also…
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