Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 41 checked references that resolve
resolves10.1257/aer.102.3.532Access to Credit by Small Businesses: How Relevant Are Race, Ethnicity, and Gender?
resolves10.1257/aer.20140571Attention Discrimination: Theory and Field Experiments with Monitoring Information Acquisition
resolves10.1093/rfs/hhx035What Drives Racial and Ethnic Differences in High-Cost Mortgages? The Role of High-Risk Lenders
resolves10.1093/rfs/hhz099On the Rise of FinTechs: Credit Scoring Using Digital Footprints
resolves10.1257/0002828042002561Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination
resolves10.1086/593073Prejudice and Wages: An Empirical Assessment of Becker’s <i>The Economics of Discrimination</i>
resolves10.1111/jofi.12613Is Fraud Contagious? Coworker Influence on Misconduct by Financial Advisors
resolves10.1086/718964When Harry Fired Sally: The Double Standard in Punishing Misconduct
resolves10.1007/s10742-009-0047-1Using the Census Bureau’s surname list to improve estimates of race/ethnicity and associated disparities
resolves10.1086/510763Why Are Black‐Owned Businesses Less Successful than White‐Owned Businesses? The Role of Families, Inheritances, and Business Human Capital
resolves10.15195/v4.a19How Black Are Lakisha and Jamal? Racial Perceptions from Names Used in Correspondence Audit Studies
resolves10.1093/jeea/jvx045Racial Discrimination in Local Public Services: A Field Experiment in the United States
resolves10.1086/318603Racial Bias in Motor Vehicle Searches: Theory and Evidence
resolves10.1086/722093Distinctively Black Names and Educational Outcomes
resolves10.1073/pnas.1721355115Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms
resolves10.1111/jofi.12208The People in Your Neighborhood: Social Interactions and Mutual Fund Portfolios
resolves10.2307/2946707Redlining in Boston: Do Mortgage Lenders Discriminate Against Neighborhoods?
The 25 references without a DOI — listed, not checked
no DOI — not checkedSmiles in profiles: Improving fairness and efficiency using estimates of user preferences in online marketplaces
no DOI — not checkedWhat is fueling fintech lending? The role of banking market structure
no DOI — not checkedDeleting a signal: Evidence from pre-employment credit checks
no DOI — not checkedref18
no DOI — not checkedref20
no DOI — not checkedref23
no DOI — not checkedref24
no DOI — not checkedHow costly are cultural biases?
no DOI — not checkedDoes fintech substitute for banks? Evidence from the Paycheck Protection Program
no DOI — not checkedDid the $660 billion Paycheck Protection Program and $220 Bbillion Economic Injury Disaster Loan Program get disbursed to minority communities in the early stages of COVID-19?
no DOI — not checkedThe impact of minority representation at mortgage lenders
no DOI — not checkedWhen race/ethnicity data are lacking: Using advanced indirect estimation methods to measure disparities
no DOI — not checkedUsing high-frequency evaluations to estimate discrimination: Evidence from mortgage loan officers
no DOI — not checkedLender automation and racial disparities in credit access
no DOI — not checkedref43
no DOI — not checkedref44
no DOI — not checkedLightface: A hybrid deep face recognition framework
no DOI — not checkedref56
no DOI — not checkedPsychology data from the race implicit association test on the project implicit demo website
no DOI — not checkedref61
no DOI — not checkedref62
no DOI — not checkedref63
no DOI — not checkedref64
no DOI — not checkedref65
no DOI — not checkedref66
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