Adverse workplace conditions, high-involvement work practices and labor turnover: Evidence from Danish linked employer–employee data
Elena Cottini (),
Takao Kato and
Niels Westergaard-Nielsen
Authors registered in the RePEc Author Service: Niels Westergaard-Nielsen ()
Labour Economics, 2011, vol. 18, issue 6, 872-880
Abstract:
Using Danish linked employer–employee data, we find that: (i) exposing the worker to physical hazards leads to a 3 percentage point increase in the probability of voluntary turnover from the average rate of 18%; (ii) working in night shift results in an 11-percentage point hike; and (iii) having an unsupportive boss leads to a 6-percentage point jump. High involvement work practices are found to play a significant role in mitigating the adverse effects of workplace hazards. Finally, the worker under adverse workplace conditions is found to improve the 5-year odds of rectifying such workplace adversities by quitting the firm.
Keywords: Employee turnover; Workplace conditions; Human resource management; High-involvement work system; High-performance work system (search for similar items in EconPapers)
JEL-codes: J28 J5 J63 J81 M5 (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (34)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0927537111000819
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Adverse Workplace Conditions, High-Involvement Work Practices and Labor Turnover: Evidence from Danish Linked Employer-Employee Data (2009) 
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:eee:labeco:v:18:y:2011:i:6:p:872-880
DOI: 10.1016/j.labeco.2011.07.003
Access Statistics for this article
Labour Economics is currently edited by A. Ichino
More articles in Labour Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().