Data and Code for: Racial Isolation and Marginalization of Economic Research on Race and Crime

We report the total citations and citations/year since publication for all 759 articles in EconLit, published from 1970 to 2020, that include race and crime (or variations) in their titles or abstracts. We report the citations from Web of Science, Scopus and Google Scholar. We also determine whether the articles report findings of racial discrimination or racism, based on multiple reader reviews of the article. In our citation analysis, we consider two main variables: (a) whether one or more of the authors were Black, and (b) whether the article was published in the <b>Review of Black Political Economy</b>. For each source of our citation counts, we provide tests of differences in the probability of zero citations, and the average and total citations between Black authors and all others as well as between papers published in the RBPE and all others,. We estimate ordinary least squares and negative binomial models of the citation counts as well as logistic models of zero citations with and without year and article category fixed effects, controlling for top five journal, race and gender of author(s), an interaction term between race of author and top five journal, and whether the journal indexed by EconLit was the Journal of Economic Perspectives or the Journal of Economic Literature, a law review, or the Annals of the American Academy of Political and Social Science. Depending on whether we measure citations as average or totals and depending upon whether we use the Web of Science, Scopus or Google Scholar citation engines, and whether the models are linear or negative binomial, we find evidence of systematically lower citations for Black authors publishing in top journals and articles published in the Review of Black Political Economy. We find that articles authored by Black scholars are more likely to find discrimination or racism. Articles published in the Review are also more likely to outline findings of discrimination, but these journal effects are not always statistically significant. These findings are consistent across different citation engines, different model specifications and estimations. As a result, these findings are all the more compelling given that that the three search engines cover Black authors and of the Review of Black Political Economy in very different ways