Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/156168 
Autor:innen: 
Erscheinungsjahr: 
2017
Schriftenreihe/Nr.: 
SOEPpapers on Multidisciplinary Panel Data Research No. 897
Verlag: 
Deutsches Institut für Wirtschaftsforschung (DIW), Berlin
Zusammenfassung: 
In this paper, we run regression analyses to explain voluntary turnover intentions with data from more than 5,000 employees and with about 250 explanatory variables. The findings of our multi-factor approach highlight the fact that previous empirical research might have over-estimated the impact and significance of many factors. We show the relevance of the so-called omitted variable bias to our findings and present an empirical approach to gain estimations that are more accurate. Our approach can estimate in detail the relevance of different factors from the following categories: (a) employees' satisfaction, (b) industry, (c) firm size, (d) status and position, (e) commuting and working hours, (f) income, incentivesand fairness, (g) career development, (h) health, (j) political orientation, (k) demographics, and (l) personality traits.
Schlagwörter: 
voluntary turnover
SOEP
regression
econometrics
JEL: 
J28
J63
C13
Dokumentart: 
Working Paper

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