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Determinants of Work-at-Home Arrangements for German Employees

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  • Miruna Sarbu

Abstract

Flexible work arrangements such as allowing employees to work at home are increasingly widespread among firms. Using individual-level data from 10,884 German employees, this paper analyses the determinants of working at home. The analysis is based on descriptive analyses and a discrete choice model. The results reveal that men have a higher probability to work at home, but women are more likely to work at home intensively. Education, tenure, and the use of computers increase the probability of working at home whereas firm size and young age of employees reduce it. Having children less than 6 years old, overtime, and work time have a positive impact on both working at home and on working at home intensively.

Suggested Citation

  • Miruna Sarbu, 2015. "Determinants of Work-at-Home Arrangements for German Employees," LABOUR, CEIS, vol. 29(4), pages 444-469, December.
    • Handle: RePEc:bla:labour:v:29:y:2015:i:4:p:444-469
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    File URL: http://hdl.handle.net/10.1111/labr.12061
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    References listed on IDEAS

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    1. Mokhtarian, Patricia L. & Salomon, Ilan, 1997. "Modeling the desire to telecommute: The importance of attitudinal factors in behavioral models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(1), pages 35-50, January.
    2. Mannering, Jill S. & Mokhtarian, Patricia L., 1995. "Modeling the Choice of Telecommuting Frequency in California: An Exploratory Analysis," University of California Transportation Center, Working Papers qt08s817dr, University of California Transportation Center.
    3. Mokhtarian, Patricia L., 1991. "Telecommuting and Travel: State of the Practice, State of the Art," University of California Transportation Center, Working Papers qt4zc486ph, University of California Transportation Center.
    4. Thomas de Graaff & Piet Rietveld, 2004. "ICT and Substitution Between Out-of-Home and at-Home Work: The Importance of Timing," Environment and Planning A, , vol. 36(5), pages 879-896, May.
    5. Bertschek, Irene & Meyer, Jenny, 2010. "IT is never too late for changes? Analysing the relationship between process innovation, IT and older workers," ZEW Discussion Papers 10-053, ZEW - Leibniz Centre for European Economic Research.
    6. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    7. Walls, Margaret & Safirova, Elena, 2004. "What Have We Learned from a Recent Survey of Teleworkers? Evaluating the 2002 SCAG Survey," RFF Working Paper Series dp-04-43, Resources for the Future.
    8. Karl Brenke, 2014. "Heimarbeit: immer weniger Menschen in Deutschland gehen ihrem Beruf von zu Hause aus nach," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 81(8), pages 131-139.
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    4. Sarbu, Miruna, 2022. "Does telecommuting kill service innovation?," Research in Transportation Economics, Elsevier, vol. 95(C).
    5. Angel Belzunegui-Eraso & Amaya Erro-Garcés, 2020. "Teleworking in the Context of the Covid-19 Crisis," Sustainability, MDPI, vol. 12(9), pages 1-18, May.
    6. Hirte, Georg & Laes, Renée, 2022. "Working from self-driving cars," CEPIE Working Papers 01/22, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    7. Bohman, Helena & Ryan, Jean & Stjernborg, Vanessa & Nilsson, Désirée, 2021. "A study of changes in everyday mobility during the Covid-19 pandemic: As perceived by people living in Malmö, Sweden," Transport Policy, Elsevier, vol. 106(C), pages 109-119.
    8. Marcela-Sefora Nemțeanu & Dan-Cristian Dabija, 2023. "Negative Impact of Telework, Job Insecurity, and Work–Life Conflict on Employee Behaviour," IJERPH, MDPI, vol. 20(5), pages 1-18, February.

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