Category: GUEST BLOGS


REED: 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…

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GOODMAN: 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…

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PFEIFFER: 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…

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FIDLER & 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…

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REED: 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:…

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REED: 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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GOODMAN & REED: A Friendly Debate about Pre-Registration

Background: Nat Goodman is generally pessimistic about the benefits of pre-registration. Bob Reed is generally optimistic about pre-registration. What follows is a back-and-forth dialogue about what each likes and dislikes about pre-registration. [GOODMAN, Opening Statement] We need to remember that…

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KIM & ROBINSON: The problem isn’t just the p-value, it’s also the point-null hypothesis!

In Frequentist statistical inference, the p-value is used as a measure of how incompatible the data are with the null hypothesis.  When the null hypothesis is fixed at a point, the test statistic reports a distance from the sample statistic…

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REED: EiR* – 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 drawn from the recent working paper “Two-way fixed effects estimators with heterogeneous treatment effects” by…

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REED: How You, as a Reviewer, Can Encourage Journals to Become More Transparent

I am a member of the Peer Reviewers Openness (PRO) Initiative. The Pro Initiative is based on the idea that reviewers have the power to get journals to become more transparent. In particular, they encourage reviewers to request data and…

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