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Low fertility and long run growth in an economy with a large public sector

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Recently it has been suggested that low fertility countries may be caught in a trap that is hard to get out of. One important mechanism in such a trap would be social interaction and its effect on the ideal family size. Such social interaction mechanisms are hard to capture in formal models, therefore we use an agent based simulation model to investigate the issue. In our experimental setup a stable growth and population path is calibrated to Swedish data and using the Swedish social policy setup. The model is provoked into a fertility trap by increasing relative child costs linked to positive growth. Even rather large increases in child benefits are then insufficient to get out of the trap. However, the small number of children temporarily enables the economy to grow faster for several decades. Removing the adaptation of social norms turns out to disarm the trap.

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  • Zamac, Jovan & Hallberg, Daniel & Lindh, Thomas, 2008. "Low fertility and long run growth in an economy with a large public sector," CAFO Working Papers 2009:5, Linnaeus University, Centre for Labour Market Policy Research (CAFO), School of Business and Economics.
  • Handle: RePEc:hhs:vxcafo:2009_005
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    1. Berde, Éva & Kovács, Eszter, 2016. "A svéd és a magyar termékenységi arányszám összehasonlítása [Comparison of Swedish and Hungarian fertility levels]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1348-1374.
    2. Bloom, David E. & Sousa-Poza, Alfonso, 2010. "Economic consequences of low fertility in Europe," FZID Discussion Papers 11-2010, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    3. Valeriy Makarov & Albert Bakhtizin & Elena Sushko & Alina Ageeva, 2018. "An Agent-Based Model of Eurasia and Simulation of Consequences of Large Infrastructure Projects," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1102-1116.
    4. Jovan Žamac & Daniel Hallberg & Thomas Lindh, 2010. "Low Fertility and Long-Run Growth in an Economy with a Large Public Sector [Fécondité basse et croissance à long terme dans une économie à secteur public très développé]," European Journal of Population, Springer;European Association for Population Studies, vol. 26(2), pages 183-205, May.
    5. Makarov, Valerii & Bakhtizin, Albert & Sushko, Elena & Ageeva, Alina, 2017. "Simulation of the socio-economic system of the Eurasian continent using the agent-based models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 48, pages 122-139.
    6. Thomas Fent & Belinda Aparicio Diaz & Alexia Prskawetz, 2013. "Family policies in the context of low fertility and social structure," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(37), pages 963-998.
    7. David E. Bloom & Alfonso Sousa-Poza, 2010. "Introduction to Special Issue of the European Journal of Population: ‘Economic Consequences of Low Fertility in Europe’ [Introduction au numéro spécial de la Revue Européenne de Démographie: ‹ Cons," European Journal of Population, Springer;European Association for Population Studies, vol. 26(2), pages 127-139, May.

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    More about this item

    Keywords

    Low fertility trap; Social norms relative income; Economic growth;
    All these keywords.

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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