Algorithmic Writing Assistance on Jobseekers’ Resumes Increases Hires

References

• Abebe G, Caria AS, Ortiz-Ospina E (2021) The selection of talent: Experimental and structural evidence from Ethiopia. Amer. Econom. Rev. 111(6):1757–1806.Crossref, Google Scholar
• Agrawal A, Gans J, Goldfarb A (2018a) Prediction, judgment, and complexity: A theory of decision-making and artificial intelligence. The Economics of Artificial Intelligence: An Agenda (University of Chicago Press), 89–110.Google Scholar
• Agrawal A, Gans J, Goldfarb A (2018b) Prediction Machines: The Simple Economics of Artificial Intelligence (Harvard Business Press, Boston).Google Scholar
• Agrawal A, Lacetera N, Lyons E (2016) Does standardized information in online markets disproportionately benefit job applicants from less developed countries? J. Internat. Econom. 103:1–12.Crossref, Google Scholar
• Agrawal A, Horton J, Lacetera N, Lyons E (2015) Digitization and the contract labor market. Goldfarb A, Greenstein SM, Tucker CE, eds. Economic Analysis of the Digital Economy (University of Chicago Press, Chicago), 219.Crossref, Google Scholar
• Alvero AJ, Giebel S, Gebre-Medhin B, Antonio AL, Stevens ML, Domingue BW (2021) Essay content and style are strongly related to household income and SAT scores: Evidence from 60,000 undergraduate applications. Sci. Adv. 7(42):eabi9031.Crossref, Google Scholar
• Belot M, Kircher P, Muller P (2018) Providing advice to jobseekers at low cost: An experimental study on online advice. Rev. Econom. Stud. 86(4):1411–1447.Crossref, Google Scholar
• Bertrand M, Mullainathan S (2004) Are Emily and Greg more employable than Lakisha and Jamal? A field experiment on labor market discrimination. Amer. Econom. Rev. 94(4):991–1013.Crossref, Google Scholar
• Bolton G, Greiner B, Ockenfels A (2013) Engineering trust: Reciprocity in the production of reputation information. Management Sci. 59(2):265–285.Link, Google Scholar
• Briscese G, Zanella G, Quinn V (2022) Providing government assistance online: A field experiment with the unemployed. J. Policy Anal. Management 41(2):579–602.Crossref, Google Scholar
• Brown T, Mann B, Ryder N, Subbiah M, Kaplan JD, Dhariwal P, Neelakantan A, et al. (2020) Language models are few-shot learners. Larochelle H, Ranzato M, Hadsell R, Balcan MF, Lin H, eds. Advances in Neural Information Processing Systems, vol. 33 (Curran Associates, Inc., Red Hook, NY), 1877–1901.Google Scholar
• Brynjolfsson E, Li D, Raymond LR (2023) Generative AI at work. Technical report, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Cai H, Jin GZ, Liu C, An Zhou L (2014) Seller reputation: From word-of-mouth to centralized feedback. Internat. J. Indust. Organ. 34:51–65.Crossref, Google Scholar
• Card D, Kluve J, Weber A (2010) Active labour market policy evaluations: A meta-analysis. Econom. J. 120(548):F452–F477.Google Scholar
• Cavaleri M, Dianati S (2016) You want me to check your grammar again?: The usefulness of an online grammar checker as perceived by students. J. Academic Language Learn. 10(1):A223–A236.Google Scholar
• Chan J, Wang J (2018) Hiring preferences in online labor markets: Evidence of a female hiring bias. Management Sci. 64(7):2973–2994.Link, Google Scholar
• Cowgill B, Hernandez-Lagos P, Wright NL (2024) Does AI cheapen talk? Theory and evidence from global entrepreneurship and hiring. Preprint, submitted January 22, http://dx.doi.org/10.2139/ssrn.4702114.Google Scholar
• Crépon B, Duflo E, Gurgand M, Rathelot R, Zamora P (2013) Do labor market policies have displacement effects? Evidence from a clustered randomized experiment. Quart. J. Econom. 128(2):531–580.Crossref, Google Scholar
• Dell’Acqua F (2022) Falling asleep at the wheel: Human/AI collaboration in a field experiment on HR recruiters. Working paper, Harvard Business School, Cambridge, MA.Google Scholar
• Deming DJ (2017) The growing importance of social skills in the labor market. Quart. J. Econom. 132(4):1593–1640.Crossref, Google Scholar
• Eloundou T, Manning S, Mishkin P, Rock D (2024) GPTs are GPTs: Labor market impact potential of LLMs. Science 384(6702):1306–1308.Google Scholar
• Farber HS, Silverman D, Von Wachter T (2016) Determinants of callbacks to job applications: An audit study. Amer. Econom. Rev. 106(5):314–318.Crossref, Google Scholar
• Felten EW, Raj M, Seamans R (2023) Occupational heterogeneity in exposure to generative AI. Preprint, submitted April 19, http://dx.doi.org/10.2139/ssrn.4414065.Google Scholar
• Figueredo L, Varnhagen CK (2005) Didn’t you run the spell checker? Effects of type of spelling error and use of a spell checker on perceptions of the author. Reading Psych. 26(4–5):441–458.Crossref, Google Scholar
• Filippas A, Horton JJ, Golden J (2022) Reputation inflation. Marketing Sci. 41(4):663–869.Link, Google Scholar
• Flesch R (1948) A new readability yardstick. J. Appl. Psych. 32(3):221.Crossref, Google Scholar
• Fradkin A, Grewal E, Holtz D (2021) Reciprocity and unveiling in two-sided reputation systems: Evidence from an experiment on airbnb. Marketing Sci. 40(6):1013–1029.Link, Google Scholar
• Galletta DF, Durcikova A, Everard A, Jones BM (2005) Does spell-checking software need a warning label? Commun. ACM 48(7):82–86.Crossref, Google Scholar
• Ghose A, Ipeirotis PG (2010) Estimating the helpfulness and economic impact of product reviews: Mining text and reviewer characteristics. IEEE Trans. Knowledge Data Engrg. 23(10):1498–1512.Crossref, Google Scholar
• Goldfarb A, Tucker C (2019) Digital economics. J. Econom. Literature 57(1):3–43.Crossref, Google Scholar
• HF Canonical Model Maintainers (2022) DistilBERT-base-uncased-finetuned-sst-2-English (Revision bfdd146). Hugging Face. https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english.Google Scholar
• Hong Y, Peng J, Burtch G, Huang N (2021) Just DM me (politely): Direct messaging, politeness, and hiring outcomes in online labor markets. Inform. Systems Res. 32(3):786–800.Link, Google Scholar
• Horton JJ (2010) Online labor markets. Proc. 6th Internat. Workshop Internet Network Econom., vol. 6484 (Springer, Berlin, Heidelberg).Google Scholar
• Horton JJ (2017) The effects of algorithmic labor market recommendations: Evidence from a field experiment. J. Labor Econom. 35(2):345–385.Crossref, Google Scholar
• Kang SK, DeCelles KA, Tilcsik A, Jun S (2016) Whitened résumés: Race and self-presentation in the labor market. Admin. Sci. Quart. 61(3):469–502.Crossref, Google Scholar
• Kincaid JP, Fishburn RP, Rogers RL, Chissom BS (1975) Derivation of new readability formulas for navy enlisted personnel. Technical Report Research Branch Report, Naval Technical Training, Millington, TN; US Naval Air Station, Memphis, TN.Google Scholar
• Kokkodis M, Ransbotham S (2023) Learning to successfully hire in online labor markets. Management Sci. 69(3):1323–1934.Link, Google Scholar
• Lee DS (2009) Training, wages, and sample selection: Estimating sharp bounds on treatment effects. Rev. Econom. Stud. 76(3):1071–1102.Crossref, Google Scholar
• Luca M, Reshef O (2021) The effect of price on firm reputation. Management Sci. 67(7):4408–4419.Link, Google Scholar
• Marinescu I (2017) The general equilibrium impacts of unemployment insurance: Evidence from a large online job board. J. Public Econom. 150:14–29.Crossref, Google Scholar
• Marinescu I, Wolthoff R (2020) Opening the black box of the matching function: The power of words. J. Labor Econom. 38(2):535–568.Crossref, Google Scholar
• Martin-Lacroux C, Lacroux A (2017) Do employers forgive applicants’ bad spelling in résumés? Bus. Professional Comm. Quart. 80(3):321–335.Crossref, Google Scholar
• McGee T, Ericsson P (2002) The politics of the program: MS Word as the invisible grammarian. Comput. Composition 19(4):453–470.Crossref, Google Scholar
• Moss-Racusin CA, Dovidio JF, Brescoll VL, Graham MJ, Handelsman J (2012) Science faculty’s subtle gender biases favor male students. Proc. Natl. Acad. Sci. USA 109(41):16474–16479.Crossref, Google Scholar
• Noy S, Zhang W (2023) Experimental evidence on the productivity effects of generative artificial intelligence. Science 381(6654):187–192.Google Scholar
• Oreopoulos P (2011) Why do skilled immigrants struggle in the labor market? A field experiment with thirteen thousand resumes. Amer. Econom. J. Econom. Policy 3(4):148–171.Crossref, Google Scholar
• Pallais A (2014) Inefficient hiring in entry-level labor markets. Amer. Econom. Rev. 104(11):3565–3599.Crossref, Google Scholar
• Sajjadiani S, Sojourner AJ, Kammeyer-Mueller JD, Mykerezi E (2019) Using machine learning to translate applicant work history into predictors of performance and turnover. J. Appl. Psych. 104(10):1207.Crossref, Google Scholar
• Singh JP, Irani S, Rana NP, Dwivedi YK, Saumya S, Kumar Roy P (2017) Predicting the “helpfulness” of online consumer reviews. J. Bus. Res. 70:346–355.Crossref, Google Scholar
• Snyder I (1993) Writing with word processors: A research overview. Ed. Res. 35(1):49–68.Crossref, Google Scholar
• Stanton CT, Thomas C (2016) Landing the first job: The value of intermediaries in online hiring. Rev. Econom. Stud. 83(2):810–854.Crossref, Google Scholar
• Sterkens P, Caers R, De Couck M, Geamanu M, Van Driessche V, Baert S (2023) Costly mistakes: Why and when spelling errors in resumes jeopardise interview chances. PLoS One 18(4):e0283280.Google Scholar
• Tafti EA (2022) Technology, Skills, and Performance: The Case of Robots in Surgery (Institute for Fiscal Studies, London).Google Scholar
• Vernon A (2000) Computerized grammar checkers 2000: Capabilities, limitations, and pedagogical possibilities. Comput. Composition 17(3):329–349.Crossref, Google Scholar
• Weiss D, Liu SX, Mieczkowski H, Hancock JT (2022) Effects of using artificial intelligence on interpersonal perceptions of job applicants. Cyberpsych. Behav. Soc. Networks 25(3):163–168.Crossref, Google Scholar
• Wiles, E Horton J (2025) Generative AI and labor market matching efficiency. Working paper, Boston University, Boston.Google Scholar