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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 ...
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.