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

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  • Will, Matthias Georg

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.

Suggested Citation

  • Will, Matthias Georg, 2017. "Voluntary turnover: What we measure and what it (really) means," Discussion Papers 2017-01, Martin Luther University of Halle-Wittenberg, Chair of Economic Ethics.
    • Handle: RePEc:zbw:mlucee:201701
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    References listed on IDEAS

    as
    1. John P. Hausknecht & Jacob A. Holwerda, 2013. "When Does Employee Turnover Matter? Dynamic Member Configurations, Productive Capacity, and Collective Performance," Organization Science, INFORMS, vol. 24(1), pages 210-225, February.
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    More about this item

    Keywords

    Voluntary Turnover; SOEP; Regression; Econometrics; Fluktuation; SOEP; Regressionsanalyse; Ökonometrie;
    All these keywords.

    JEL classification:

    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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