IDEAS home Printed from https://ideas.repec.org/p/gmf/papers/2023-05.html
   My bibliography  Save this paper

Fertility choices, Demographics and Automation

Author

Listed:
  • Derick Almeida

    (University of Coimbra, Faculty of Economics)

  • Tiago Neves Sequeira

    (University of Coimbra, Centre for Business and Economics and Faculty of Economics)

Abstract

In this paper we study a theoretical link between the effects of increased automation on labor markets, and the fertility decisions of a representative household that is replaced by robots in the production of tasks. We develop a framework in which children provide utility and impose an opportunity cost to the household due to lost labor income. We show that fertility rate changes are the result of an optimal response to wage variations after the economy is hit by a shock that increases the design quality of robots used in production. Using this model, we characterize an initial equilibrium and simulate the effect of a 10% increase in robot productivity on important endogenous variables, including wages, and find that, in the absence of fixed costs to raising children, the fertility rate increases by approximately 3.4%.

Suggested Citation

  • Derick Almeida & Tiago Neves Sequeira, 2023. "Fertility choices, Demographics and Automation," CeBER Working Papers 2023-05, Centre for Business and Economics Research (CeBER), University of Coimbra.
  • Handle: RePEc:gmf:papers:2023-05
    as

    Download full text from publisher

    File URL: https://bee.fe.uc.pt/working-paper/pdf/ca019fa5ae6b4f709860f7532344c29f/wp-ceber-2023-5.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    2. Arnaud Costinot & Jonathan Vogel, 2010. "Matching and Inequality in the World Economy," Journal of Political Economy, University of Chicago Press, vol. 118(4), pages 747-786, August.
    3. Kristiina Huttunen & Jenni Kellokumpu, 2016. "The Effect of Job Displacement on Couples' Fertility Decisions," Journal of Labor Economics, University of Chicago Press, vol. 34(2), pages 403-442.
    4. Gary S. Becker & H. Gregg Lewis, 1974. "Interaction between Quantity and Quality of Children," NBER Chapters, in: Economics of the Family: Marriage, Children, and Human Capital, pages 81-90, National Bureau of Economic Research, Inc.
    5. Arnaud Costinot & Jonathan Vogel, 2015. "Beyond Ricardo: Assignment Models in International Trade," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 31-62, August.
    6. Sattinger, Michael, 1993. "Assignment Models of the Distribution of Earnings," Journal of Economic Literature, American Economic Association, vol. 31(2), pages 831-880, June.
    7. Andy Feng & Georg Graetz, 2020. "Training Requirements, Automation, and Job Polarisation," The Economic Journal, Royal Economic Society, vol. 130(631), pages 2249-2271.
    8. Daron Acemoglu & Pascual Restrepo, 2022. "Demographics and Automation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 1-44.
    9. Carl-Johan Dalgaard & Holger Strulik, 2014. "Optimal Aging And Death: Understanding The Preston Curve," Journal of the European Economic Association, European Economic Association, vol. 12(3), pages 672-701, June.
    10. Massimo Anelli & Osea Giuntella & Luca Stella, 2024. "Robots, Marriageable Men, Family, and Fertility," Journal of Human Resources, University of Wisconsin Press, vol. 59(2), pages 443-469.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Almeida, Derick & Naudé, Wim & Sequeira, Tiago Neves, 2024. "Artificial Intelligence and the Discovery of New Ideas: Is an Economic Growth Explosion Imminent?," IZA Discussion Papers 16766, Institute of Labor Economics (IZA).

    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. Sampson, Thomas, 2016. "Assignment reversals: Trade, skill allocation and wage inequality," Journal of Economic Theory, Elsevier, vol. 163(C), pages 365-409.
    2. Heiland, Inga & Kohler, Wilhelm, 2022. "Heterogeneous workers, trade, and migration," European Economic Review, Elsevier, vol. 144(C).
    3. Yuki, Kazuhiro, 2012. "Mechanization, task assignment, and inequality," MPRA Paper 37754, University Library of Munich, Germany.
    4. Davis, Donald R. & Dingel, Jonathan I., 2020. "The comparative advantage of cities," Journal of International Economics, Elsevier, vol. 123(C).
    5. Cebreros Alfonso, 2018. "Labor Heterogeneity and the Pattern of Trade," Working Papers 2018-01, Banco de México.
    6. Basso, Henrique S. & Jimeno, Juan F., 2021. "From secular stagnation to robocalypse? Implications of demographic and technological changes," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 833-847.
    7. Daniele Angelini, 2023. "Aging Population and Technology Adoption," Working Paper Series of the Department of Economics, University of Konstanz 2023-01, Department of Economics, University of Konstanz.
    8. Arnaud Costinot & Jonathan Vogel, 2010. "Matching and Inequality in the World Economy," Journal of Political Economy, University of Chicago Press, vol. 118(4), pages 747-786, August.
    9. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    10. Maximiliano Dvorkin & Alexander Monge-Naranjo, 2019. "Occupation Mobility, Human Capital and the Aggregate Consequences of Task-Biased Innovations," Working Papers 2019-064, Human Capital and Economic Opportunity Working Group.
    11. Ana Lucia Abeliansky & Holger Strulik, 2023. "Health and aging before and after retirement," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(4), pages 2825-2855, October.
    12. Ilona Pavlenkova & Luca Alfieri & Jaan Masso, 2024. "Effects of automation on the gender pay gap: the case of Estonia," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 33(3), pages 584-608.
    13. Monte, Ferdinando, 2011. "Skill bias, trade, and wage dispersion," Journal of International Economics, Elsevier, vol. 83(2), pages 202-218, March.
    14. Jakob Madsen & Holger Strulik, 2023. "Testing unified growth theory: Technological progress and the child quantity‐quality tradeoff," Quantitative Economics, Econometric Society, vol. 14(1), pages 235-275, January.
    15. Michelacci, Claudio & Pijoan-Mas, Josep, 2016. "Labor supply with job assignment under balanced growth," Journal of Economic Theory, Elsevier, vol. 163(C), pages 110-140.
    16. Pol Antràs & Esteban Rossi-Hansberg, 2009. "Organizations and Trade," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 43-64, May.
    17. Sugita, Yoichi & 杉田, 洋一, 2009. "Matching, Quality, Upgrading, and Trade between Heterogeneous Firms," CCES Discussion Paper Series 20, Center for Research on Contemporary Economic Systems, Graduate School of Economics, Hitotsubashi University.
    18. Ana L. ABELIANSKY & Eda ALGUR & David E. BLOOM & Klaus PRETTNER, 2020. "The future of work: Meeting the global challenges of demographic change and automation," International Labour Review, International Labour Organization, vol. 159(3), pages 285-306, September.
    19. Kiminori Matsuyama, 2019. "Engel's Law in the Global Economy: Demand‐Induced Patterns of Structural Change, Innovation, and Trade," Econometrica, Econometric Society, vol. 87(2), pages 497-528, March.
    20. Ana L. Abeliansky & Klaus Prettner & Roman Stoellinger, 2023. "Infection Risk at Work, Automatability, and Employment," Department of Economics Working Papers wuwp352, Vienna University of Economics and Business, Department of Economics.

    More about this item

    Keywords

    Automation; Robots; Tasks; Fertility;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:gmf:papers:2023-05. 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: Sofia Antunes (email available below). General contact details of provider: https://edirc.repec.org/data/cebucpt.html .

    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.