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Star Wars at Central Banks
We investigate the credibility of central bank research by searching for traces of researcher bias, which is a tendency to use undisclosed analytical procedures that raise measured levels of statistical significance (stars) in artificial ways. To conduct our search, we compile a new dataset and borrow 2 bias-detection methods from the literature: the p-curve and z-curve. The results are mixed. The p-curve shows no traces of researcher bias but has a high propensity to produce false negatives. The z-curve shows some traces of researcher bias but requires strong assumptions. We examine those ...
Gender representation in economics across topics and time: evidence from the NBER
We document the representation of female economists on the conference programs at the NBER Summer Institute from 2001 to 2016. Over the 2013-16 period, women made up 20.6 percent of all authors on scheduled papers. However, there was large dispersion across programs, with the share of female authors ranging from 7.3 percent to 47.7 percent. While the average share of women rose slightly?from 18.5 percent in 2001-04?a persistent gap between the finance, macroeconomics, and microeconomics subfields remains, with women representing 14.4 percent of authors in finance, 16.3 percent of authors in ...
Comment on "Star Wars: The Empirics Strike Back"
Using a novel meta-analytical method, Brodeur et al. (2016) argue that hypothesis tests in top economic journals have exaggerated levels of statistical significance. Brodeur et al. (2020) apply the same method to another sample of hypothesis tests, obtaining similar results. We investigate the reliability of the method by highlighting questionable assumptions and compiling a dataset to examine their merits. Our findings support the original conclusions.
Online Appendix for: Comment on "Star Wars: The Empirics Strike Back"
This appendix contains the pre-registered analysis for our comment on “Star Wars: The Empirics Strike Back” by Brodeur et al (2016). To structure the analysis, we reproduce the pre-registration; our results appear in red under each of the relevant parts. The time-stamped version of the pre-registration is available from the Open Science Framework website at the address https://doi.org/10.17605/OSF.IO/58MNJ.To understand this appendix deeply, we recommend carefully reading Brodeur et al (2016). The body of our comment paper outlines only the intuition of their method. In some of the ...
An Interview with Neil Wallace
A few years ago we sat down with Neil Wallace and had two lengthy, free-ranging conversations about his career and, generally speaking, his views on economics. What follows is a distillation of these conversations.
Paving the Road for Replications: Experimental Results from an Online Research Repository
Are users of a bibliographic database interested in learning about replications? Can we motivate them to learn? To answer these questions, we performed an experiment on a RePEc (Research Papers in Economics) website: Using randomized stratification, we allocated 324 replications and their corresponding original studies to clusters; we then drew from those clusters to select treatment and control groups. We added brightly colored tabs to the relevant webpages to alert visitors to the existence of a replication study or to the original study of a replication. We monitored traffic over three ...
Paving the Road for Replications: Experimental Results from an Online Research Bibliography
Are users of a bibliographic database interested in learning about replications? Can they be induced to learn? To answer these questions, we performed an experiment at the online research bibliography, RePEc (Research Papers in Economics). RePEc is the main research bibliography for pre-prints and published papers in economics. Using randomized stratification, we allocated 324 replications and their corresponding original studies to clusters. We then drew from those clusters to construct treatment and control groups. Brightly colored tabs were added to the relevant webpages to alert visitors ...