Certifications and Employer Decision-Making - When Does Signaling Lose Its Value in the Job Market?

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dc.contributor.author Alin, James
dc.contributor.author Datu Eranza, Datu Razali
dc.date.accessioned 2024-12-16T04:31:11Z
dc.date.available 2024-12-16T04:31:11Z
dc.date.issued 2024-12-16
dc.identifier.uri http://oer.ums.edu.my/handle/oer_source_files/2914
dc.description.abstract In the context of hiring for an innovative tech company, some proportion pp of the job applicants is highly skilled, while the remaining (1−p)(1−p) lacks the necessary technical expertise. Let’s assume p=0.40p=0.40. The company values applicants with a recognized certification (e.g., in AI development). For candidates holding this certification, the employer assumes high productivity and offers a salary of $90,000. For those without certification, the employer must make an assumption based on probabilities: they estimate the productivity of uncertified applicants as p=0.40p=0.40 and unproductive applicants as 1−p=0.601−p=0.60. The employer calculates the average productivity for uncertified candidates in dollars as: Expected Salary=100,000⋅p+50,000⋅(1−p).Expected Salary=100,000⋅p+50,000⋅(1−p). en_US
dc.language.iso en en_US
dc.title Certifications and Employer Decision-Making - When Does Signaling Lose Its Value in the Job Market? en_US


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