IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2212.02119.html
   My bibliography  Save this paper

Digital leisure and the gig economy: a two-sector model of growth

Author

Listed:
  • Francesco Angelini
  • Luca V. Ballestra
  • Massimiliano Castellani

Abstract

The process of market digitization at the world level and the increasing and extended usage of digital devices reshaped the way consumers employ their leisure time, with the emergence of what can be called digital leisure. This new type of leisure produces data that firms can use, with no explicit cost paid by consumers. At the same time, the global digitalization process has allowed workers to allocate part of (or their whole) working time to the Gig Economy sector, which strongly relies on data as a production factor. In this paper, we develop a two-sector growth model to study how the above mechanism can shape the dynamics of growth, also assessing how shocks in either the traditional or the Gig Economy sector can modify the equilibrium of the overall economy. We find that shocks in the TFP can crowd out working time from a sector to the other, while shocks on the elasticity of production to data determines a change in the time allocated to digital leisure.

Suggested Citation

  • Francesco Angelini & Luca V. Ballestra & Massimiliano Castellani, 2022. "Digital leisure and the gig economy: a two-sector model of growth," Papers 2212.02119, arXiv.org.
  • Handle: RePEc:arx:papers:2212.02119
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2212.02119
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vandenbroucke, Guillaume, 2009. "Trends in hours: The U.S. from 1900 to 1950," Journal of Economic Dynamics and Control, Elsevier, vol. 33(1), pages 237-249, January.
    2. Greenwood, Jeremy & Hercowitz, Zvi, 1991. "The Allocation of Capital and Time over the Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 99(6), pages 1188-1214, December.
    3. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asu Ozdaglar, 2022. "Too Much Data: Prices and Inefficiencies in Data Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 14(4), pages 218-256, November.
    4. Charles I. Jones & Christopher Tonetti, 2020. "Nonrivalry and the Economics of Data," American Economic Review, American Economic Association, vol. 110(9), pages 2819-2858, September.
    5. L. Rachel Ngai & Christopher A. Pissarides, 2008. "Trends in Hours and Economic Growth," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(2), pages 239-256, April.
    6. Benhabib, Jess & Rogerson, Richard & Wright, Randall, 1991. "Homework in Macroeconomics: Household Production and Aggregate Fluctuations," Journal of Political Economy, University of Chicago Press, vol. 99(6), pages 1166-1187, December.
    7. Fabio Sabatini & Francesco Sarracino, 2017. "Online Networks and Subjective Well-Being," Kyklos, Wiley Blackwell, vol. 70(3), pages 456-480, August.
    8. Perli, Roberto, 1998. "Indeterminacy, home production, and the business cycle: A calibrated analysis," Journal of Monetary Economics, Elsevier, vol. 41(1), pages 105-125, February.
    9. Dirk Bergemann & Alessandro Bonatti & Tan Gan, 2022. "The economics of social data," RAND Journal of Economics, RAND Corporation, vol. 53(2), pages 263-296, June.
    10. Antoci, Angelo & Sabatini, Fabio & Sodini, Mauro, 2012. "The Solaria syndrome: Social capital in a growing hyper-technological economy," Journal of Economic Behavior & Organization, Elsevier, vol. 81(3), pages 802-814.
    11. Mark Aguiar & Erik Hurst, 2007. "Measuring Trends in Leisure: The Allocation of Time Over Five Decades," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 969-1006.
    12. Timo Boppart & L. Rachel Ngai, 2021. "Rising inequality and trends in leisure," Journal of Economic Growth, Springer, vol. 26(2), pages 153-185, June.
    13. Lin William Cong & Danxia Xie & Longtian Zhang, 2021. "Knowledge Accumulation, Privacy, and Growth in a Data Economy," Management Science, INFORMS, vol. 67(10), pages 6480-6492, October.
    14. Martins, José & Costa, Catarina & Oliveira, Tiago & Gonçalves, Ramiro & Branco, Frederico, 2019. "How smartphone advertising influences consumers' purchase intention," Journal of Business Research, Elsevier, vol. 94(C), pages 378-387.
    15. Ichihashi, Shota, 2021. "The economics of data externalities," Journal of Economic Theory, Elsevier, vol. 196(C).
    16. Imanol Arrieta-Ibarra & Leonard Goff & Diego Jiménez-Hernández & Jaron Lanier & E. Glen Weyl, 2018. "Should We Treat Data as Labor? Moving beyond "Free"," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 38-42, May.
    17. Antonio Ladrón-de-Guevara & Salvador Ortigueira & Manuel S. Santos, 1999. "A Two-Sector Model of Endogenous Growth with Leisure," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(3), pages 609-631.
    18. Maximilian Schäfer & Geza Sapi, 2020. "Learning from Data and Network Effects: The Example of Internet Search," Discussion Papers of DIW Berlin 1894, DIW Berlin, German Institute for Economic Research.
    19. Guido Candela & Massimiliano Castellani & Roberto Dieci, 2019. "In search of leisure time: An endogenous growth model with leisure services," Metroeconomica, Wiley Blackwell, vol. 70(3), pages 488-524, July.
    20. Jean-Philippe Deranty & Thomas Corbin, 2022. "Artificial Intelligence and work: a critical review of recent research from the social sciences," Papers 2204.00419, arXiv.org.
    21. Dafna Bearson & Martin Kenney & John Zysman, 2021. "Measuring the impacts of labor in the platform economy: new work created, old work reorganized, and value creation reconfigured [Probing for informal work activity]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(3), pages 536-563.
    22. Kelley, Allen C, 1988. "Economic Consequences of Population Change in the Third World," Journal of Economic Literature, American Economic Association, vol. 26(4), pages 1685-1728, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Benjamin Bridgman, 2016. "Engines of Leisure," BEA Working Papers 0137, Bureau of Economic Analysis.
    2. Bergemann, Dirk & Ottaviani, Marco, 2021. "Information Markets and Nonmarkets," CEPR Discussion Papers 16459, C.E.P.R. Discussion Papers.
    3. Georgios Petropoulos & Bertin Martens & Geoffrey Parker & Marshall Van Alstyne, 2023. "Platform Competition and Information Sharing," CESifo Working Paper Series 10663, CESifo.
    4. Barañano Mentxaka, Ilaski & Moral Zuazo, María Paz, 2007. "Consumption-Leisure Trade-offs and Persistency in Business Cycles," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    5. Valerie A. Ramey & Neville Francis, 2009. "A Century of Work and Leisure," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(2), pages 189-224, July.
    6. Edgar Cruz & Xavier Raurich, 2020. "Leisure time and the sectoral composition of employment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 38, pages 198-219, October.
    7. Jing Dang & Max Gillman & Michal Kejak, 2011. "Real Business Cycles with a Human Capital Investment Sector and Endogenous Growth: Persistence, Volatility and Labor Puzzles," CERS-IE WORKING PAPERS 1128, Institute of Economics, Centre for Economic and Regional Studies.
    8. Catherine E. Tucker, 2023. "The Economics of Privacy: An Agenda," NBER Chapters, in: The Economics of Privacy, National Bureau of Economic Research, Inc.
    9. Olivier Armantier & Sebastian Doerr & Jon Frost & Andreas Fuster & Kelly Shue, 2024. "Nothing to hide? Gender and age differences in willingness to share data," Swiss Finance Institute Research Paper Series 24-99, Swiss Finance Institute.
    10. Yosuke Uno & Akira Sonoda & Masaki Bessho, 2021. "The Economics of Privacy: A Primer Especially for Policymakers," Bank of Japan Working Paper Series 21-E-11, Bank of Japan.
    11. Lei Fang & Anne Hannusch & Pedro Silos, 2020. "Bundling Time and Goods: Implications for Hours Dispersion," DETU Working Papers 2003, Department of Economics, Temple University.
    12. Yunfang Hu, 2008. "Human Capital Accumulation, Home Production And Equilibrium Dynamics," The Japanese Economic Review, Japanese Economic Association, vol. 59(3), pages 292-311, September.
    13. Duernecker, Georg & Herrendorf, Berthold, 2018. "On the allocation of time – A quantitative analysis of the roles of taxes and productivities," European Economic Review, Elsevier, vol. 102(C), pages 169-187.
    14. Moro, Alessio & Tanaka, Satoshi, 2019. "Sectoral shocks and home substitution," Economics Letters, Elsevier, vol. 181(C), pages 57-60.
    15. Lionel Ragot & Mathilde Aubouin, 2024. "The Macroeconomics of Free Digital Services," EconomiX Working Papers 2024-20, University of Paris Nanterre, EconomiX.
    16. Lester, Robert, 2014. "Home production and sticky price models: Implications for monetary policy," Journal of Macroeconomics, Elsevier, vol. 41(C), pages 107-121.
    17. Laura Abrardi & Carlo Cambini & Laura Rondi, 2022. "Artificial intelligence, firms and consumer behavior: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 969-991, September.
    18. Boragan Aruoba & Morris Davis & Randall Wright, 2016. "Homework in Monetary Economics: Inflation, Home Production, and the Production of Homes," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 21, pages 105-124, July.
    19. Bridgman, Benjamin, 2022. "Is Productivity On Vacation? The Impact Of The Digital Economy On The Value Of Leisure," Macroeconomic Dynamics, Cambridge University Press, vol. 26(1), pages 127-148, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2212.02119. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.