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Psychological Encyclopedia

Hair Color Bias at Work: Job Interviews, Competence, Professionalism, and Earnings

Sep 27
18 min read

Updated: 3 days ago

Author: Angela Bogdanova · Published: September 27, 2026 · Editorial Policy

Research cluster: Hair Color Psychology · Written by Artificial Sapiens


Hair color can matter in a job interview because visible appearance can influence first impressions and stereotype-based judgments. It does not matter because one hair color makes a person more intelligent, competent, professional, productive, trustworthy, or employable. The strongest hair-color-specific research concerns perception: when researchers hold a résumé or face constant and change the visible hair color, observers sometimes change their evaluations.


There is no scientifically established “best hair color” for a job interview. A 1996 experiment found that an otherwise identical female staff-accountant applicant was rated as more capable and assigned a higher salary when shown as brunette rather than blonde or red-haired. A 2020 applicant study found lower hiring ratings for red-haired White applicants in some managerial scenarios. These studies show that appearance bias can occur; they do not establish a universal hiring hierarchy among brunette, blonde, red, gray, or other hair colors.


Real-world earnings research is similarly nuanced. U.S. panel data have found hair-color-associated wage patterns among White women, while a controlled French restaurant experiment found that blonde wigs increased tips from male patrons. Neither result means blonde hair creates higher or lower ability. They show that employers, customers, occupations, and social stereotypes can attach economic consequences to a visible cue.


Evidence status: reasonably supported evidence that hair color can affect some workplace judgments in specific contexts; limited evidence for generalizing those effects across occupations, cultures, genders, age groups, or time periods; no established evidence that natural hair color determines actual competence, intelligence, work ethic, or personality.


Does Hair Color Matter in a Job Interview?


Yes, it can matter to perception. No, it is not a valid measure of job ability. That distinction answers the primary question more accurately than advice pages that nominate a “safe” or “professional” color.


The clearest direct evidence comes from Kyle and Mahler’s 1996 experiment. One hundred thirty-six college students reviewed an identical résumé for a woman applying for a staff-accountant position. The attached photograph varied only in visible hair color—brunette, red, or blonde—and cosmetics use. The applicant was rated as more capable and was assigned a higher salary when depicted with brunette hair. Because the résumé and applicant were otherwise held constant, the result is evidence about evaluator judgment, not about actual ability.


That experiment is relevant to job-interview intent, but it was not a real interview and it did not observe actual hiring behavior. The raters were college students, the target was a woman, the job was staff accountant, and the study was conducted three decades ago. Its result therefore supports the existence of a possible appearance-based evaluation effect, not a rule that brunette candidates are generally preferred.


The scientifically defensible answer is therefore conditional: hair color may influence an interviewer or recruiter through first impressions, categorization, or stereotype activation, especially when information about the candidate is sparse. As job-relevant information becomes richer, a sound selection process should rely on demonstrated competencies rather than appearance.


What Hair Color Bias at Work Actually Means


Hair-color bias is a difference in social judgment or treatment associated with a visible hair-color cue. The cue may be a biological pigmentation phenotype, a dyed color, gray hair, a wig, or a digitally manipulated image. The psychological outcome may be an attributed trait such as intelligence, an evaluation such as perceived competence, a decision such as willingness to hire, or a material outcome such as assigned salary or tips.


These categories must stay separate. Biological hair-color phenotype refers to pigmentation. Visible hair color is what an observer sees. A stereotype is a learned association attached to a social category. Attributed competence is a judgment made by an observer. Actual competence is performance-related ability measured independently of that judgment. A first impression is an early evaluation. Employment bias appears when a cue that is not job-relevant affects selection, pay, opportunity, or treatment.


A manipulated photograph is especially informative here. If the same person is rated differently after the hair in the image is changed, the participant’s perception changed. The person’s intelligence, personality, and work ability did not change. The design isolates the social cue precisely so that the resulting judgment can be distinguished from the underlying person.


Evidence status: established as a conceptual distinction in social-perception and experimental research. The direct size and direction of hair-color effects are context-dependent.


What Controlled Applicant Studies Actually Show


The 1996 staff-accountant experiment


In Kyle & Mahler (1996), participants saw the same professional résumé paired with a photograph showing the female applicant as blonde, brunette, or red-haired. Hair color had a significant main effect: the brunette version was rated as more capable and received a higher assigned salary. Cosmetics also affected ratings, but there was no interaction between cosmetics and hair color.


This is strong within-study evidence that visible hair color altered attributed capability and compensation judgments in that experimental setup. It is weak evidence for claims about today’s labor market as a whole. Student raters are not equivalent to professional recruiters, one female face is not a representative population, one occupation does not represent every occupation, and 1996 cultural stereotypes need not have the same strength in 2026.


Evidence status: direct experimental evidence for appearance-based evaluation in a narrow historical context; limited external validity.


The 2020 managerial-applicant study


A more recent study by Watson, Griggs, and Szeman (2020) used hypothetical professional managerial applicants whose gender and hair color were manipulated. Across 158 participants drawn from future managers and current banking-industry managers, the red-haired applicants received lower ratings on some employment outcomes. Among future managers, red-haired applicants were rated lower than blonde and brunette applicants on likelihood of hire, starting salary, physical attractiveness, and intelligence, but not on ability to handle stress or supervise others. In the banking-manager sample, the red-hair disadvantage replicated for likelihood of hire, while the other differences were not significant.


That pattern is important because it resists a simplistic “one color wins” story. Some outcomes changed, others did not, and the two samples did not produce identical effects. The study also explicitly focused on Caucasian applicants, which limits generalization and reinforces that hair-color categories operate inside cultural and racial contexts rather than as universal biological signals.


Evidence status: limited contemporary evidence of red-hair-related applicant bias in a narrow U.S. managerial context; partial replication across two samples, with outcome-specific effects.


Is There a Best Hair Color for a Job Interview?


No research base justifies naming a universally best hair color for interviews. Search queries such as “best hair color for job interview” and “what hair color is most likely to get hired” invite a ranking that the evidence cannot support.


The 1996 brunette advantage was observed for one female staff-accountant vignette. The 2020 red-hair disadvantage appeared in hypothetical managerial applicants and was not identical across samples or outcomes. Other research finds different effects when the outcome changes from hiring to attractiveness, approach behavior, tipping, or wages. A color associated with an advantage in one context can be neutral or disadvantaged in another.


A job seeker therefore cannot convert the research into a reliable optimization rule such as “go brunette to get hired.” That would treat a context-specific bias effect as though it were a stable causal property of hair color.


Evidence status: no established universal ranking. Claims about a single best, safest, smartest-looking, or most professional natural hair color are popular or internet claims unless tied to a specific study and context.


Hair Color, Competence, and Professionalism


Competence and perceived competence are not interchangeable. Competence concerns what a person can actually do. Perceived competence is another person’s evaluation of that ability, often formed before direct evidence of performance is available. Hair-color research belongs mainly to the second category.


The broader appearance literature makes the same distinction. A meta-analysis by Hosoda, Stone-Romero, and Coats (2003) found that physical attractiveness influenced job-related evaluations across experimental studies, with a weighted mean effect size of d = .37. That meta-analysis was about attractiveness, not hair color, so it cannot be used to estimate a hair-color effect. It does show that job-relevant judgments can absorb information from appearance cues that are not themselves measures of performance.


“Professionalism” is even more easily overstated. The hair-color-specific literature commonly measures capability, intelligence attribution, hire likelihood, assigned salary, or consumer behavior. It does not provide a validated universal scale proving that brunette, blonde, red, or gray hair is inherently more professional. Professionalism judgments are partly organizational and cultural norms, and those norms can themselves contain bias.


This is why an interviewer saying that one candidate “looks more professional” is not equivalent to evidence that the candidate will perform better. A visual norm may affect social fit judgments while remaining unrelated to the competencies the job requires.


Evidence status: reasonably supported evidence for appearance effects on employment evaluations broadly; limited direct evidence for hair-color-specific competence judgments; no established evidence of actual competence differences by hair color.


Hair Color and Earnings


Earnings are closer to real economic outcomes than vignette ratings, but they are also harder to interpret causally. People with different hair colors can differ in age, occupation, region, customer exposure, work history, and many other variables. Observational wage differences therefore require careful adjustment and still cannot automatically be attributed to discrimination.


U.S. panel data: an early blonde wage penalty that changed with experience


Evgenia Kogan Dechter’s 2015 Labour Economics study analyzed the U.S. National Longitudinal Survey of Youth 1979, which contains natural hair-color information. Inexperienced blonde women earned significantly less than non-blonde women in the reported models; the initial gap declined with work experience, and more experienced blonde women eventually showed a wage premium. The study also examined education, cognitive ability, work experience, other physical characteristics, and family and personal variables.


The changing sign of the association is more informative than a single headline. Hair color was not linked to one fixed wage destiny. The author interpreted the pattern as consistent with employer or customer tastes, occupational sorting, and mobility, but the design is observational. It cannot randomly assign natural hair color or isolate every unmeasured factor.


The study also focused particularly on women and on a U.S. cohort that entered the labor market decades ago. Its findings should not be treated as a current global wage estimate.


Evidence status: reasonably supported observational association in a major longitudinal U.S. dataset; causal mechanism remains uncertain.


A controlled customer-response experiment: blonde wigs and tips


Nicolas Guéguen’s 2012 restaurant experiment tested visible hair color more directly. Waitresses in four restaurants in Brittany, France, wore blonde, red, brown, or dark wigs. Across 847 customers, blonde wigs increased both the frequency and amount of tips from male patrons, while female patrons’ tipping did not change with hair color.


This experiment changes the visible cue while holding the waitress herself constant, so it provides causal evidence that hair color affected male customers’ tipping behavior in that setting. It does not show that blonde employees are more productive, that employers pay blondes more, or that the result generalizes to offices, interviews, other countries, or modern tipping cultures.


Evidence status: direct experimental evidence for a customer-behavior effect in a narrow hospitality context; limited generalizability to earnings or hiring broadly.


Blonde Hair in Hiring and Work


Blonde hair is especially relevant because the “dumb blonde” stereotype links an appearance cue to attributed intelligence. The workplace question is therefore not whether blonde pigmentation lowers cognitive ability; it does not. The question is whether a culturally learned stereotype can alter evaluation when an observer sees blonde hair. Our dedicated article on blonde stereotype psychology reviews the intelligence, attraction, and competence evidence in detail.


One useful reality check is Zagorsky’s 2016 analysis of NLSY79 cognitive-test data and self-reported natural hair color among White respondents. Blonde women were not cognitively inferior to women with other hair colors; the blonde and brown-haired mean scores were not statistically distinguishable. The study was observational and cannot establish that hair color causes intelligence differences in either direction. Its value here is that it directly contradicts the premise that blonde appearance is a valid proxy for low intelligence.


Thus, when a hiring study finds a blonde applicant judged differently, the interpretation belongs to stereotype and perception, not to a biological theory of ability.


Evidence status: reasonably supported evidence against an inherent blonde-intelligence deficit; limited but direct evidence that blonde appearance can affect competence-related judgments in some settings.


Brunette and Red Hair in Hiring


Brunette often functions as a comparison condition in hair-color experiments rather than as evidence of a distinct “brunette personality.” The higher capability rating in Kyle and Mahler’s study is therefore best understood as a relative judgment inside that experiment. It is not evidence that people with brown hair are more competent in the population. The brunette-specific stereotype literature is reviewed in Brunette Stereotypes: Intelligence, Competence, Attraction, and What Research Shows.


Red hair has also produced context-specific effects. In the 2020 Watson study, red-haired applicants were less likely to be hired in both the future-manager and banking-manager samples, but salary, intelligence, attractiveness, stress-handling, and supervisory judgments did not all replicate across samples. That variability is exactly why a red-hair disadvantage cannot be treated as a universal labor-market law.


Workplace studies can test whether a cue changes an evaluation. They do not convert hair-color categories into psychological types.


Evidence status: limited evidence for brunette and red-hair differences in specific applicant-evaluation experiments; insufficient evidence for universal hiring or competence rankings.


Gray Hair, Age Perception, and Hiring


Gray hair raises a different mechanism because it can function as an age cue. That does not make gray hair a measure of competence, but it can change the age an observer attributes to a face.


In a 2025 experiment, Nutt, Thorstenson, and Yorzinski presented participants with versions of the same male and female faces showing non-gray versus gray hair. Gray hair increased perceived age and reduced perceived attractiveness. Male observers also rated gray-haired faces as less trustworthy, while social-status and aggression ratings were not significantly changed. The study did not test employment decisions.


Separately, a preregistered systematic review and meta-analysis of age discrimination in hiring found disadvantage for older applicants across included experimental studies, with effects generally increasing with age. Most studies were conducted in Europe, and the review focused on age manipulations rather than gray hair.


Putting these literatures together supports a plausible pathway: gray hair can increase perceived age, and age can affect hiring. It does not establish that gray hair itself causes hiring discrimination. Direct experiments would need to manipulate gray hair while holding age information and other cues constant in genuine employment decisions.


For a job seeker asking whether to dye gray hair before an interview, the evidence does not support a universal recommendation. The appearance-perception link is real enough to study, but the missing causal step from gray hair to real hiring outcomes matters.


Evidence status: established evidence that gray hair can alter perceived age in a controlled face-perception experiment; established evidence that age discrimination occurs in hiring; only plausible interpretation, not direct evidence, that gray hair itself mediates real hiring discrimination.


For the broader gray-hair perception evidence that underlies this age-cue pathway, see Gray Hair Psychology: Age Perception, Attractiveness, Ageism, and Identity.

 

What About Dyed or Unnatural Hair Colors?


Bright blue, pink, green, purple, and other unconventional colors create a different search intent from conventional hair-color comparisons. They raise questions about organizational appearance norms, self-expression, identity, and judgments of professionalism. Those questions belong to the separate English Hub article reserved for unnatural hair color and workplace professionalism.


This article therefore does not create mini-canonicals such as “Blue Hair Personality” or “Pink Hair Professionalism,” and it does not infer ideology, sexuality, mental health, intelligence, or personality from an unconventional color. A chosen appearance cue can carry personal meaning or trigger observer assumptions without revealing a fixed psychological type.


Evidence status: direct evidence for unnatural-color workplace effects is more heterogeneous and context-dependent than many online advice pages imply; no universal personality or competence inference is justified.


Why an Appearance Cue Can Affect a Career Judgment


Job selection often begins under uncertainty. Before an interviewer has observed a candidate’s work, the available information consists of documents, speech, behavior, credentials, and visible cues. Human observers categorize quickly, and culturally learned associations can supply expectations when individuating evidence is incomplete.


Hair color can enter that process as a visible social cue. The cue can activate a stereotype; the stereotype can influence attributed intelligence, attractiveness, seriousness, age, or competence; those attributions can then influence a rating or decision. The psychological chain is therefore cue → categorization → attributed trait → judgment. At no point does that chain demonstrate that the attributed trait actually belongs to the person.


This framework also explains why effects vary. Different occupations reward different impressions. Different observers have different stereotypes. Gender changes some effects. Age changes the meaning of gray hair. A customer’s tipping decision is not the same judgment as a recruiter’s hiring recommendation. A stereotype can also weaken when job-relevant evidence becomes more diagnostic.


Evidence status: reasonably supported interpretation grounded in social-perception and personnel-selection research; the specific causal pathway for any one hair-color effect must still be demonstrated by the study design.


How Strong Is the Evidence?


Hair-color workplace research is real, but it is not large or uniform enough to support sweeping rules. Several limitations recur.


First, much of the direct literature is old. The 1996 staff-accountant experiment remains highly relevant because it isolates the cue, but historical stereotypes and workplace norms can change. Newer work, such as the 2020 managerial-applicant study, suggests that some effects persist in specific settings while also showing inconsistent outcomes across samples.


Second, many studies are female-centered. Blonde stereotypes in particular have historically targeted women, and some major wage analyses focus on women. Results should not be silently generalized to men or to gender-diverse populations.


Third, several studies use White or Caucasian targets. Hair-color categories do not have identical cultural meaning across racial and ethnic groups. Treating blonde, brunette, red, gray, and “Black hair” as one symmetrical list can erase the distinct literature on racialized hair, texture, protective styles, and discrimination.


Fourth, simulated hiring is not the same as real hiring. A paper applicant rated by students or managers is useful for experimental control but cannot reproduce the stakes, organizational constraints, candidate interaction, and repeated decision-making of a real recruitment process.


Fifth, outcomes differ. Perceived intelligence, perceived ability, likelihood of hire, assigned salary, actual wages, occupational sorting, tips, attractiveness, and professionalism are separate variables. Evidence for one cannot be freely transferred to another.


Sixth, observational wage studies can adjust for many confounders but cannot prove that hair color caused the earnings difference. Experimental wig or photo studies can identify a cue effect more cleanly, but usually in narrower settings.


Overall evidence status: direct but limited hair-color-specific evidence, strengthened by broader established evidence that appearance and age can bias employment judgments. The strongest conclusion concerns social perception and decision bias, not biological differences among hair-color groups.


What Employers Can Do to Reduce Appearance Bias


If hair color is not job-relevant, it should not function as an informal proxy for competence. The most defensible response is to make the selection process more diagnostic of the work.


The U.S. Office of Personnel Management describes structured interviews as interviews in which candidates receive the same predetermined questions and responses are evaluated using the same rating scale and standards. Higher structure reduces the space in which an interviewer can substitute a global impression for evidence tied to job competencies.


A practical selection system can define the competencies before interviews begin, ask comparable job-related questions, use behaviorally anchored scoring rules, record reasons for ratings, and separate evidence about performance from comments about appearance. These procedures do not make human judgment perfectly bias-free, but they make it easier to detect when an irrelevant visual cue is doing work that the résumé or interview evidence should be doing.


Employers should also distinguish genuine safety or role requirements from vague aesthetic preferences. “Looks professional” is an especially weak decision rule when it is not translated into job-relevant, consistently applied criteria.


Evidence status: established personnel-selection rationale for structured interviews; this is a bias-reduction implication, not evidence that structured interviews have been specifically tested against hair-color bias.


What Job Seekers Can Reasonably Conclude


You do not need to treat your natural hair color as a hidden psychometric score. Research does not show that one natural color is intrinsically more professional or more employable, and it does not justify changing blonde, brunette, red, or gray hair to manufacture competence.


If you are considering a color change solely because an internet article claims that a certain shade gets hired more often, the claim is stronger than the evidence. The most relevant studies show context-specific evaluator effects, not a universal hiring algorithm.


It is reasonable to learn an organization’s explicit appearance requirements, especially in roles with safety, uniform, or client-presentation rules. It is also reasonable to decide how you want to present yourself. Those are choices about context and self-presentation, not corrections to an alleged deficit in your personality or ability.


For conventional natural colors, the evidence supports a simple priority: let qualifications, work samples, experience, and interview responses carry the decision. If a recruiter substitutes a stereotype for those signals, the problem lies in the evaluation process, not in the applicant’s hair.


What the Evidence Does Not Show


Hair color does not diagnose intelligence, personality, temperament, work ethic, leadership ability, honesty, mental health, or moral character.


A brunette advantage in one experiment does not prove that brunettes are more competent. A blonde tipping advantage does not prove that blondes earn more in every occupation. A red-hair penalty in a managerial vignette does not prove that red-haired applicants are generally less employable. Gray hair increasing perceived age does not prove that gray hair itself causes real-world hiring discrimination.


There is also no evidence-based rule that every candidate should dye their hair to a conventional shade before an interview. That recommendation is especially inappropriate when it quietly converts existing bias into advice that applicants should accommodate the bias.


Evidence status: these are boundary conclusions required by the designs of the available studies.


A Note on Black Hair, Race, and Workplace Discrimination


This article uses hair color in the literal sense of visible pigmentation or a manipulated color cue. It does not treat natural Black hair, textured hair, locs, braids, twists, or other racialized hair practices as merely another color category beside blonde, brunette, and red hair.


That distinction matters legally and scientifically. The U.S. Equal Employment Opportunity Commission explains that race discrimination can involve physical characteristics associated with race, including hair texture, while “color” discrimination refers to skin complexion or pigmentation. Racialized hair discrimination therefore belongs to a different evidence and legal framework from the literal-pigment question addressed here.


The English Hub reserves that subject for a separate future owner. Literal dark pigmentation can be discussed in cross-color experiments, but racial identity and natural/textured-hair discrimination should not be collapsed into a generic “black hair personality” category.


Frequently Asked Questions


Does hair color matter in a job interview?


It can matter to first impressions and evaluator judgments. Controlled studies show that changing visible hair color can change ratings of capability, hire likelihood, or assigned salary in some contexts. Hair color is not evidence of actual competence, intelligence, or personality, and the available literature does not support a universal effect across jobs.


What hair color is most likely to get hired?


No scientifically supported universal answer exists. Brunette hair received more favorable capability and salary ratings in one 1996 female staff-accountant experiment, while a 2020 managerial-applicant study found a red-hair disadvantage for likelihood of hire. Those context-specific findings cannot be converted into a general ranking of hair colors.


What is the best hair color for a job interview?


There is no evidence-based best color. A hiring process should evaluate job-relevant competencies. Online claims that a particular natural shade is universally safest or most professional usually go beyond the research.


Should I dye my hair before a job interview?


Research does not support a general recommendation to dye conventional natural hair before an interview. A personal color change may be part of self-presentation, and an employer may have explicit appearance rules, but neither point means dyeing improves competence or guarantees better hiring outcomes.


Are brunettes seen as more competent?


In Kyle and Mahler’s 1996 experiment, the brunette version of the same female applicant was rated as more capable and assigned a higher salary. That demonstrates a perception effect in that study. It does not establish that brunette people are more competent or that modern recruiters always prefer brunette applicants.


Does blonde hair reduce earnings?


Not in a simple or universal way. Dechter’s U.S. panel analysis found an early wage penalty for inexperienced blonde women that diminished with experience and later became a premium. Because the study was observational, the pattern cannot be interpreted as a biological or universally causal effect of blonde hair.


Does red hair affect hiring?


It has in at least one controlled applicant study. Watson and colleagues found lower hire-likelihood ratings for red-haired White managerial applicants in two samples, but other dependent variables did not consistently differ in both samples. The evidence is therefore limited and context-specific.


Should I dye gray hair for a job interview?


There is no direct evidence that dyeing gray hair reliably improves real hiring outcomes. Gray hair can increase perceived age, and experimental hiring research shows age discrimination exists, but those two findings do not prove that gray hair itself causes hiring discrimination. A universal recommendation to cover gray is not evidence-based.


Is hair color discrimination illegal in the United States?


Hair color and the federal protected category “color” should not be confused. In EEOC guidance, “color” refers to skin pigmentation, complexion, or shade. Hair policies can raise separate legal issues when they involve race-associated hair texture or other protected characteristics. This is a general distinction, not legal advice about a specific workplace dispute.


For the broader social-perception mechanism that can feed competence and professionalism judgments before workplace outcomes, see Hair Color Stereotypes: How Hair Shapes Social Perception.


 

 

 

 

 

 

 

 

References


Batinovic, L., Howe, M., Sinclair, S., & Carlsson, R. (2023). Ageism in hiring: A systematic review and meta-analysis of age discrimination. Collabra: Psychology, 9(1), 82194. https://doi.org/10.1525/collabra.82194


Dechter, E. K. (2015). Physical appearance and earnings, hair color matters. Labour Economics, 32, 15–26. https://doi.org/10.1016/j.labeco.2014.11.002


Guéguen, N. (2012). Hair color and wages: Waitresses with blond hair have more fun. The Journal of Socio-Economics, 41(4), 370–372. https://doi.org/10.1016/j.socec.2012.04.012


Hosoda, M., Stone-Romero, E. F., & Coats, G. (2003). The effects of physical attractiveness on job-related outcomes: A meta-analysis of experimental studies. Personnel Psychology, 56(2), 431–462. https://doi.org/10.1111/j.1744-6570.2003.tb00157.x


Kyle, D. J., & Mahler, H. I. M. (1996). The effects of hair color and cosmetic use on perceptions of a female’s ability. Psychology of Women Quarterly, 20(3), 447–455. https://doi.org/10.1111/j.1471-6402.1996.tb00311.x


Nutt, K. M., Thorstenson, C. A., & Yorzinski, J. L. (2025). Gray hair influences perceived age and social perceptions. Frontiers in Psychology, 16, 1541836. https://doi.org/10.3389/fpsyg.2025.1541836


U.S. Equal Employment Opportunity Commission. (n.d.). Race/Color Discrimination. https://www.eeoc.gov/racecolor-discrimination


U.S. Office of Personnel Management. (n.d.). Structured Interviews. https://www.opm.gov/policy-data-oversight/assessment-and-selection/structured-interviews/


Watson, B. F., Griggs, T. L., & Szeman, M. (2020). When hair color influences job marketability: The impact of red hair color on perceived attributes and employment outcomes for Caucasian male and female job applicants. Journal of Business, Industry, and Economics, 25, Article 2. https://roar.una.edu/jobie/vol25/iss1/2/


Zagorsky, J. L. (2016). Are blondes really dumb? Economics Bulletin, 36(1), 401–410. https://open.bu.edu/handle/2144/40129

 
 
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