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

Principal Investigator(s): View help for Principal Investigator(s) Patrick Mason, Florida State University; Samuel Myers, University of Minnesota; Margaret Simms, Urban Institute

Version: View help for Version V1

Name	File Type	Size	Last Modified
.RData	application/x-rlang-transport	4.9 MB	03/01/2022 07:27:AM
.Rhistory	text/plain	12.2 KB	03/01/2022 07:27:AM
CITATION BIAS RESEARCJH NOTE, REVISED MAY 1 2022 ARCHIVED.pdf	application/pdf	1.2 MB	05/01/2022 09:48:AM
EconLit_Economics of Race and Crime articles.xlsx	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet	703.9 KB	03/01/2022 07:27:AM
Matching articles with the list of black economists.xlsx	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet	776.3 KB	03/01/2022 07:27:AM
Megan Stevenson and Margaret Shin (2020) list.xlsx	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet	9.2 KB	03/01/2022 07:27:AM
Merged list of Black economists.xlsx	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet	27.4 KB	03/01/2022 07:27:AM
README 5-1-2022.pdf	application/pdf	307.9 KB	04/30/2022 08:58:PM
RosterofBlackEconomistAcademia(July2020).xls	application/vnd.ms-excel	91 KB	03/01/2022 07:27:AM
Summary Tables 2022.xlsx	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet	26.2 KB	05/01/2022 09:57:AM

Project Citation:

Mason, Patrick, Myers, Samuel, and Simms, Margaret. Data and Code for: Racial Isolation and Marginalization of Economic Research on Race and Crime. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-06-01. https://doi.org/10.3886/E161361V1

Project Description

Summary: 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 Review of Black Political Economy. 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

Scope of Project

Subject Terms: Citiation bias; Bibliometric methods; Race and Economics of Crime and Law Enforcement

JEL Classification:
      J15 Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
      K42 Illegal Behavior and the Enforcement of Law
      Y10 Data: Tables and Charts

Time Period(s): 1970 – 2020

Data Type(s): event/transaction data; other

Collection Notes: Citation counts

Methodology

Response Rate: NA

Sampling: Universe of journal articles meeting selection criteria

Data Source: 1. EconLit
2. Web of Science,
3. Scopus and
4. Google Scholar

Collection Mode(s): coded on-site observation; mixed mode; other; record abstracts

Scales: Total citations
Citations per year since publication

Weights: NA

Unit(s) of Observation: Article/Publication

Geographic Unit: NA

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Published Versions

V1 [2022-06-01]

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