Measuring match quality using subjective data
Priscila Ferreira (priscila@eeg.uminho.pt) and
Mark Taylor (mp.t@hotmail.co.uk)
No 40, NIMA Working Papers from Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho
Abstract:
We examine whether data routinely collected in household surveys and surveys of workers can be used to construct a measure of underlying match quality between worker and firm which helps test matching models and predict subsequent labour market outcomes of workers. We use subjective data from employees both on reported levels of job satisfaction with various aspects of the current job and on whether they would like a new job with a new employer to construct a measure of underlying match quality. We then use this to test several implications of matching models relating to wage-tenure profiles, wages, and separations.
Keywords: panel data; wages; job mobility; match effects; BHPS (search for similar items in EconPapers)
JEL-codes: C33 J28 J31 J62 J63 (search for similar items in EconPapers)
Pages: 17 pages
Date: 2010-12
New Economics Papers: this item is included in nep-lab
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www3.eeg.uminho.pt/publications/NIMAwp40.pdf full text (application/pdf)
none
Related works:
Journal Article: Measuring match quality using subjective data (2011) 
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:nim:nimawp:40/2010
Ordering information: This working paper can be ordered from
NIMA, EEG - Universidade do Minho, 4710-057 Braga, Portugal
http://nima.eeg.uminho.pt/
nima@eeg.uminho.pt
The price is free.
Access Statistics for this paper
More papers in NIMA Working Papers from Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho NIMA, EEG - Universidade do Minho, 4710-057 Braga, Portugal.
Bibliographic data for series maintained by NIMA (nima@eeg.uminho.pt).