What Do Jobseekers Want? Estimating Reservation Wages and the Value of Job Attributes
Brian Feld,
AbdelRahman Nagy () and
Adam Osman
Additional contact information
AbdelRahman Nagy: J-PAL
No 1414, Working Papers from Economic Research Forum
Abstract:
Understanding jobseeker preferences, including their reservation wages and how much they value different non-wage amenities, is difficult because these parameters are not directly observable. We run an experiment at a job matching center in which we test four different methods for estimating these parameters. We find large and important differences between the methods, with the method most commonly used in household and labor force surveys - open ended questions - performing worst, and a short set of discrete choices performing best. We then use the data to estimate job seekers’ valuations of different job attributes and explore how valuations differ by job seeker characteristics such as gender, education and duration of unemployment. Among other findings, we show that in our sample of jobseekers in Egypt, women are more sensitive to long commutes and value flexible schedules more than men. These finds have important implications for researchers who use and collect data on reservation wages and for policymakers and employers who aim to decrease matching frictions.
Pages: 53
Date: 2020-11-20, Revised 2020-11-20
New Economics Papers: this item is included in nep-dcm and nep-ure
References: Add references at CitEc
Citations:
Published by The Economic Research Forum (ERF)
Downloads: (external link)
https://erf.org.eg/publications/what-do-jobseekers ... e-of-job-attributes/ (application/pdf)
https://bit.ly/33g1n5j (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:erg:wpaper:1414
Access Statistics for this paper
More papers in Working Papers from Economic Research Forum Contact information at EDIRC.
Bibliographic data for series maintained by Namees Nabeel ().