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The determinants of excess worker turnover in Luxembourg

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The determinants of excess worker turnover in Luxembourg. / Bertinelli, Luisito; Cardi, Olivier; Strobl, Eric et al.
In: International Journal of Manpower, Vol. 30, No. 3, 2009, p. 253-268.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Bertinelli, L, Cardi, O, Strobl, E, Pamukçu, T & Thornton, R 2009, 'The determinants of excess worker turnover in Luxembourg', International Journal of Manpower, vol. 30, no. 3, pp. 253-268. https://doi.org/10.1108/01437720910956754

APA

Bertinelli, L., Cardi, O., Strobl, E., Pamukçu, T., & Thornton, R. (2009). The determinants of excess worker turnover in Luxembourg. International Journal of Manpower, 30(3), 253-268. https://doi.org/10.1108/01437720910956754

Vancouver

Bertinelli L, Cardi O, Strobl E, Pamukçu T, Thornton R. The determinants of excess worker turnover in Luxembourg. International Journal of Manpower. 2009;30(3):253-268. doi: 10.1108/01437720910956754

Author

Bertinelli, Luisito ; Cardi, Olivier ; Strobl, Eric et al. / The determinants of excess worker turnover in Luxembourg. In: International Journal of Manpower. 2009 ; Vol. 30, No. 3. pp. 253-268.

Bibtex

@article{e1fe73b03e234f198c09648bdd7376cc,
title = "The determinants of excess worker turnover in Luxembourg",
abstract = "Purpose– The purpose of this paper is to investigate the patterns and determinants of excess labour turnover (churning) in the Luxembourg labour market using a rich employer‐employee matched data set.Design/methodology/approach– The paper formulates a model to explain churning rates using three sets of explanatory variables: various worker characteristics, establishment characteristics, and two‐digit sector‐specific characteristics. The data used are from the Luxembourg social security system for the period 1992‐2003.Findings– The findings show that there are high churning levels in Luxembourg, that their determinants vary significantly across sectors, and that much of this variation can be explained by worker‐ and establishment‐specific features.Research limitations/implications– A major question, still undecided in the research literature, is whether churning is simply the result of random job‐worker mismatches.Originality/value– There are relatively few prior studies that have examined which employee and employer characteristics are associated with excess worker turnover, and the paper is the first to analyze the phenomenon of churning in the Luxembourg labour market. Luxembourg has recently experienced impressive employment growth (about 3.5 percent annually) since the beginning of the 1990s; and, Luxembourg being a small economy, it was feasible to analyze the entire population of workers and firms.",
keywords = "Jobs, Luxembourg, Labour, Employee turnover",
author = "Luisito Bertinelli and Olivier Cardi and Eric Strobl and Teoman Pamuk{\c c}u and Robert Thornton",
year = "2009",
doi = "10.1108/01437720910956754",
language = "English",
volume = "30",
pages = "253--268",
journal = "International Journal of Manpower",
issn = "0143-7720",
publisher = "Emerald Group Publishing Ltd.",
number = "3",

}

RIS

TY - JOUR

T1 - The determinants of excess worker turnover in Luxembourg

AU - Bertinelli, Luisito

AU - Cardi, Olivier

AU - Strobl, Eric

AU - Pamukçu, Teoman

AU - Thornton, Robert

PY - 2009

Y1 - 2009

N2 - Purpose– The purpose of this paper is to investigate the patterns and determinants of excess labour turnover (churning) in the Luxembourg labour market using a rich employer‐employee matched data set.Design/methodology/approach– The paper formulates a model to explain churning rates using three sets of explanatory variables: various worker characteristics, establishment characteristics, and two‐digit sector‐specific characteristics. The data used are from the Luxembourg social security system for the period 1992‐2003.Findings– The findings show that there are high churning levels in Luxembourg, that their determinants vary significantly across sectors, and that much of this variation can be explained by worker‐ and establishment‐specific features.Research limitations/implications– A major question, still undecided in the research literature, is whether churning is simply the result of random job‐worker mismatches.Originality/value– There are relatively few prior studies that have examined which employee and employer characteristics are associated with excess worker turnover, and the paper is the first to analyze the phenomenon of churning in the Luxembourg labour market. Luxembourg has recently experienced impressive employment growth (about 3.5 percent annually) since the beginning of the 1990s; and, Luxembourg being a small economy, it was feasible to analyze the entire population of workers and firms.

AB - Purpose– The purpose of this paper is to investigate the patterns and determinants of excess labour turnover (churning) in the Luxembourg labour market using a rich employer‐employee matched data set.Design/methodology/approach– The paper formulates a model to explain churning rates using three sets of explanatory variables: various worker characteristics, establishment characteristics, and two‐digit sector‐specific characteristics. The data used are from the Luxembourg social security system for the period 1992‐2003.Findings– The findings show that there are high churning levels in Luxembourg, that their determinants vary significantly across sectors, and that much of this variation can be explained by worker‐ and establishment‐specific features.Research limitations/implications– A major question, still undecided in the research literature, is whether churning is simply the result of random job‐worker mismatches.Originality/value– There are relatively few prior studies that have examined which employee and employer characteristics are associated with excess worker turnover, and the paper is the first to analyze the phenomenon of churning in the Luxembourg labour market. Luxembourg has recently experienced impressive employment growth (about 3.5 percent annually) since the beginning of the 1990s; and, Luxembourg being a small economy, it was feasible to analyze the entire population of workers and firms.

KW - Jobs

KW - Luxembourg

KW - Labour

KW - Employee turnover

U2 - 10.1108/01437720910956754

DO - 10.1108/01437720910956754

M3 - Journal article

VL - 30

SP - 253

EP - 268

JO - International Journal of Manpower

JF - International Journal of Manpower

SN - 0143-7720

IS - 3

ER -