Occupational Matching: A Test of Sorts

Brian McCall

No 617, Working Papers from Princeton University, Department of Economics, Industrial Relations Section.

Abstract: This paper develops a model of occupational matching where, within an occupation, information at one job may be useful for predicting the match at other jobs. Recent developments in the theory of superprocesses are used to derive the optimal sampling policy which predicts that those currently working their second job within an occupation are less likely to separate from this job then those working their first job. Also, this difference should increase with tenure in the previous job since, for those with long tenures, it is more likely that occupational sorting has taken place. These predictions are tested using weekly tenure data from the National Longitudinal Survey: Youth Cohort. Controlling for unobserved heterogeniety and employing semi-parametric estimation techniques, it is found that one's previous job tenure significantly lowers the likelihood of leaving the current job only if both jobs are of the same occupation. However, overall, occupational switchers are more likely to leave the current job only if the tenure in the previous job is greater than one year. Similar results are found for job quitters when the data is analyzed using a competing risks framework.

Keywords: occupational matching; semi-parametric estimation; competing risks; job matching (search for similar items in EconPapers)
JEL-codes: D89 D9 (search for similar items in EconPapers)
Date: 1988-08
References: Add references at CitEc
Citations:

Downloads: (external link)
https://dataspace.princeton.edu/bitstream/88435/dsp011z40ks82c/1/237.pdf
Our link check indicates that this URL is bad, the error code is: 500 Internal Server Error

Related works:
Journal Article: Occupational Matching: A Test of Sorts (1990)
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:pri:indrel:237

Access Statistics for this paper

More papers in Working Papers from Princeton University, Department of Economics, Industrial Relations Section. Contact information at EDIRC.
Bibliographic data for series maintained by Bobray Bordelon (bordelon@princeton.edu).