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Heterogeneous Effects of Monetary and Non-Monetary Job Characteristics on Job Attractiveness in Nursing

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Abstract

We apply a novel methodological approach described by Chernozhukov, Fern´andez-Val & Luo (2018), to analyze preference heterogeneity regarding non-monetary job characteristics and trade-offs between wage and non-monetary job characteristics. Using this approach, we can describe preference heterogeneity more concise than with subgroup analysis. Analyzing data from a selfconducted factorial survey experiment on nurses, we find significant effect heterogeneity regarding the single job characteristics and the trade-offs between wage and non-monetary job characteristics. We also find positive interaction effects between wage and other job characteristics. We further analyze which factors are associated with effect heterogeneity. Working hours and gender appear to be the main drivers of these effects. We also find differences regarding the sources of a nurse’s motivation to initially choose the nursing occupation. Differentiation of job characteristics (job offers) to fit different preferences can therefore be a more effective and efficient way to attract workers than a “one size fits all” solution. Regarding nursing jobs, there is some evidence for such differentiation.

Suggested Citation

  • Martin Kroczek & Philipp Kugler, 2022. "Heterogeneous Effects of Monetary and Non-Monetary Job Characteristics on Job Attractiveness in Nursing," IAW Discussion Papers 139, Institut für Angewandte Wirtschaftsforschung (IAW).
  • Handle: RePEc:iaw:iawdip:139
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    References listed on IDEAS

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    1. Martin Abraham & Katrin Auspurg & Sebastian Bähr & Corinna Frodermann & Stefanie Gundert & Thomas Hinz, 2013. "Unemployment and willingness to accept job offers: results of a factorial survey experiment [Arbeitslosigkeit und Stellenannahmebereitschaft: Erste Ergebnisse eines Faktoriellen Survey Moduls]," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 46(4), pages 283-305, December.
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    4. Non, Arjan & Rohde, Ingrid & de Grip, Andries & Dohmen, Thomas, 2022. "Mission of the company, prosocial attitudes and job preferences: A discrete choice experiment," Labour Economics, Elsevier, vol. 74(C).
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    7. Matthew Wiswall & Basit Zafar, 2018. "Preference for the Workplace, Investment in Human Capital, and Gender," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 457-507.
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    11. Victor Chernozhukov & Mert Demirer & Esther Duflo & Iván Fernández-Val, 2018. "Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India," NBER Working Papers 24678, National Bureau of Economic Research, Inc.
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    1. Posel, Dorrit & Oyenubi, Adeola, 2023. "Heterogeneous gender gaps in mental wellbeing: Do women with low economic status face the biggest gender gaps?," Social Science & Medicine, Elsevier, vol. 332(C).

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    More about this item

    Keywords

    labor supply; wage; non-monetary job characteristics; heterogeneity analysis; nurses;
    All these keywords.

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J32 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Nonwage Labor Costs and Benefits; Retirement Plans; Private Pensions
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

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