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Why People Enter and Stay in Public Service Careers: The Role of Parental Socialization and an Interest in Politics

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  • Fischer, Caroline
  • Schott, Carina

Abstract

This paper examines the effect of parental socialization and interest in politics on entering and staying in public service careers. We incorporate two related explanations, yet commonly used in different fields of literature, to explain public sector choice. Firstly, following social learning theory we hypothesize that parents serve as role models and thereby affect their children’s sector choice. Additionally, we test the hypothesis that parental socialization leads to a longer stay in public sector jobs while assuming that it serves as a buffer against turnover. Secondly, following PSM process theory we expect that ‘interest in politics’ is influenced by parental socialization and that this concept, in turn, leads to a public sector career. A representative set of longitudinal data from the Swiss household panel (1999-2014) was used to analyze these hypotheses (n=2,933, N=37,328). The results indicate that parental socialization serves as a stronger predictor of public sector choice than an interest in politics. Furthermore, people with parents working in the public sector tend to stay longer in their public sector jobs.

Suggested Citation

  • Fischer, Caroline & Schott, Carina, 2020. "Why People Enter and Stay in Public Service Careers: The Role of Parental Socialization and an Interest in Politics," OSF Preprints yb8e3, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:yb8e3
    DOI: 10.31219/osf.io/yb8e3
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    References listed on IDEAS

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    1. Justin M. Stritch & Robert K Christensen, 2016. "Raising the next generation of public servants? Parental influence on volunteering behavior and public service career aspirations," International Journal of Manpower, Emerald Group Publishing Limited, vol. 37(5), pages 840-858, August.
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    3. Julian Seymour Gould-Williams, 2016. "Managers’ motives for investing in HR practices and their implications for public service motivation," International Journal of Manpower, Emerald Group Publishing Limited, vol. 37(5), pages 764-776, August.
    4. James Cui, 2007. "QIC program and model selection in GEE analyses," Stata Journal, StataCorp LP, vol. 7(2), pages 209-220, June.
    5. Szmaragd, Camille & Clarke, Paul & Steele, Fiona, 2013. "Subject specific and population average models for binary longitudinal data: a tutorial," LSE Research Online Documents on Economics 52199, London School of Economics and Political Science, LSE Library.
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