Voluntary turnover: What we measure and what it (really) means

Matthias Georg Will

No 2017-01, Discussion Papers from Martin Luther University of Halle-Wittenberg, Chair of Economic Ethics

Abstract: 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, incentives and fairness, (g) career development, (h) health, (j) political orientation, (k) demographics, and (l) personality traits.

Keywords: Voluntary Turnover; SOEP; Regression; Econometrics; Fluktuation; SOEP; Regressionsanalyse; Ökonometrie (search for similar items in EconPapers)
JEL-codes: C13 J28 J63 (search for similar items in EconPapers)
Date: 2017
New Economics Papers: this item is included in nep-cta
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:mlucee:201701

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