SMU Research Data Repository (RDR)
Browse
ARCHIVE
dataset.zip (192.69 kB)
DOCUMENT
appendix.pdf (114.39 kB)
1/0
2 files

Data from: Worker selection, hiring, and vacancies

dataset
posted on 2017-01-01, 00:00 authored by BAYDUR Ismail

This record contains the underlying research data for the publication "Worker selection, hiring, and vacancies" and the full-text is available from: https://ink.library.smu.edu.sg/soe_research/1990

The ratio of hirings to vacancies in the U.S. has the following establishment level properties: (i) it steeply rises with employment growth rate; (ii) falls with establishment size; and (iii) rises with worker turnover rate. The standard Diamond-Mortensen Pissarides (DMP) matching model is not compatible with these observations. This paper augments selection of workers prior to hiring into a random matching model with multi-worker firms. In the calibrated model, worker selection accounts for about 30% of the variation in the hiring-vacancy ratio observed in the data. Compared to the standard model, the worker selection model has both qualitative and quantitative policy implications. A hiring subsidy reduces the unemployment rate substantially in the worker selection model, whereas the reduction in the unemployment rate is very small in the standard model. The two models also differ regarding the impact of the hiring subsidy across firms. The worker selection model implies that firms that have initially high worker turnover rates experience proportionally higher worker turnover rates after the subsidy. In contrast, the standard model predicts that the worker turnover rate increases proportionally more at firms with initially lower worker turnover rates.


History

Usage metrics

    School of Economics

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC