Selecting Applicants | Zendy

Frankel Alex | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Premium

Selecting Applicants

Author(s) -

Frankel Alex

Publication year - 2021

Publication title -

econometrica

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 16.7

H-Index - 199

eISSN - 1468-0262

pISSN - 0012-9682

DOI - 10.3982/ecta15510

Subject(s) - test (biology) , set (abstract data type) , simple (philosophy) , function (biology) , business , actuarial science , microeconomics , economics , computer science , paleontology , philosophy , epistemology , evolutionary biology , biology , programming language

A firm selects applicants to hire based on hard information, such as a test result, and soft information, such as a manager's evaluation of an interview. The contract that the firm offers to the manager can be thought of as a restriction on acceptance rates as a function of test results. I characterize optimal acceptance rate functions both when the firm knows the manager's mix of information and biases and when the firm is uncertain. These contracts may admit a simple implementation in which the manager can accept any set of applicants with a sufficiently high average test score.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here

Accelerating Research