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Propensity to work remotely in the Bank of Italy: a behavioural analysis

Author

Listed:
  • Michele Mariani

    (Bank of Italy)

  • Livia Ristuccia

    (Bank of Italy)

  • Pasqualino Montanaro

    (Bank of Italy)

Abstract

This paper analyses the propensity to work remotely of the Bank of Italy's employees. The main innovation compared with other studies is that the propensity is derived from individual administrative data instead of survey-based data, which are affected by selection bias problems. Furthermore, the use of individual administrative data makes it possible to analyse organizational and managerial issues that are difficult to investigate otherwise. Employees facing longer commuting times, those with children and those in the younger age groups have a higher propensity to work remotely, confirming that remote working (RW) is an important pull factor for new workers. No significant gender differences were observed. Bosses’ propensity to work remotely affects the behaviour of their colleagues. In the onboarding period, new hires tend to work remotely less than their more established colleagues, but they rapidly align their behaviour with that of the other workers. The choices of the more established colleagues are not affected by the onboarding needs.

Suggested Citation

  • Michele Mariani & Livia Ristuccia & Pasqualino Montanaro, 2023. "Propensity to work remotely in the Bank of Italy: a behavioural analysis," Questioni di Economia e Finanza (Occasional Papers) 753, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:opques:qef_753_23
    as

    Download full text from publisher

    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2023-0753/QEF_753_23.pdf
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    References listed on IDEAS

    as
    1. Barrero, Jose Maria & Bloom, Nick & Davis, Steven J., 2020. "Why Working From Home Will Stick," SocArXiv wfdbe, Center for Open Science.
    2. Nicholas Bloom & Ruobing Han & James Liang, 2022. "How Hybrid Working From Home Works Out," NBER Working Papers 30292, National Bureau of Economic Research, Inc.
    3. Alexandre Mas & Amanda Pallais, 2017. "Valuing Alternative Work Arrangements," American Economic Review, American Economic Association, vol. 107(12), pages 3722-3759, December.
    4. Cevat Giray Aksoy & Jose Maria Barrero & Nicholas Bloom & Steven J. Davis & Mathias Dolls & Pablo Zarate, 2022. "Working from Home Around the World," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 53(2 (Fall)), pages 281-360.
    5. Bloom, David E. & Sousa-Poza, Alfonso, 2013. "Ageing and Productivity: Introduction," IZA Discussion Papers 7205, Institute of Labor Economics (IZA).
    6. Oriana Bandiera & Iwan Barankay & Imran Rasul, 2005. "Social Preferences and the Response to Incentives: Evidence from Personnel Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(3), pages 917-962.
    7. Alexandre Mas & Enrico Moretti, 2009. "Peers at Work," American Economic Review, American Economic Association, vol. 99(1), pages 112-145, March.
    8. Paola Biasi & Daniele Checchi & Maria De Paola, 2022. "Remote working during COVID-19 outbreak: workers' well-being and productivity," Politica economica, Società editrice il Mulino, issue 1, pages 3-40.
    9. Nicholas Bloom & James Liang & John Roberts & Zhichun Jenny Ying, 2015. "Does Working from Home Work? Evidence from a Chinese Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(1), pages 165-218.
    10. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-365, June.
    11. Marta Angelici & Paola Profeta, 2020. "Smart-working: Work Flexibility Without Constraints," CHILD Working Papers Series 77 JEL Classification: J1, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.
    12. Armin Falk & Andrea Ichino, 2006. "Clean Evidence on Peer Effects," Journal of Labor Economics, University of Chicago Press, vol. 24(1), pages 39-58, January.
    13. Alexandre Mas & Amanda Pallais, 2020. "Alternative Work Arrangements," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 631-658, August.
    14. Robert Gibbons & Rebecca Henderson, 2012. "Relational Contracts and Organizational Capabilities," Organization Science, INFORMS, vol. 23(5), pages 1350-1364, October.
    15. Michael Gibbs & Friederike Mengel & Christoph Siemroth, 2023. "Work from Home and Productivity: Evidence from Personnel and Analytics Data on Information Technology Professionals," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 1(1), pages 7-41.
    16. Glenn Dutcher, E., 2012. "The effects of telecommuting on productivity: An experimental examination. The role of dull and creative tasks," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 355-363.
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    More about this item

    Keywords

    remote working; individual preferences; willingness to pay;
    All these keywords.

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • H83 - Public Economics - - Miscellaneous Issues - - - Public Administration
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management

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