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Preferences for collective working-time reduction policies:a factorial survey experiment

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  • Damaris Castro
  • Brent Bleys

Abstract

Collective working-time reduction (WTR) policies, organized by companies, organizations, sectors or governments, can yield benefits across diverse domains including productivity and well-being. Despite an increasing number of WTR trials, the attractiveness of such policies remains relatively underexplored in literature. In this study, a factorial survey experiment investigates employees' preferences for collective WTR policies with pay reduction that vary along five dimensions. Findings reveal that employees favour policies that minimize pay reduction, that reduce working time moderately rather than extensively, and that establish a high degree of flexibility for taking up the additional leisure time. Moreover, the uptake amongst significant others matters: participation of colleagues as well as of close friends and family positively influences WTR attractiveness, although the latter primarily matter in WTR-supportive company cultures. Our findings provide valuable guidance for companies, organizations and policymakers when devising collective WTR policies and underline the importance of societal participation to enhance WTR attractiveness.

Suggested Citation

  • Damaris Castro & Brent Bleys, 2023. "Preferences for collective working-time reduction policies:a factorial survey experiment," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 23/1076, Ghent University, Faculty of Economics and Business Administration.
  • Handle: RePEc:rug:rugwps:23/1076
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    File URL: http://wps-feb.ugent.be/Papers/wp_23_1076.pdf
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    References listed on IDEAS

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    1. Steffen Otterbach, 2010. "Mismatches Between Actual and Preferred Work Time: Empirical Evidence of Hours Constraints in 21 Countries," Journal of Consumer Policy, Springer, vol. 33(2), pages 143-161, June.
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    More about this item

    Keywords

    working-time reduction; working-time preferences; factorial survey experiment;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J88 - Labor and Demographic Economics - - Labor Standards - - - Public Policy

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