IDEAS home Printed from https://ideas.repec.org/a/wsi/serxxx/v58y2013i01ns0217590813500033.html
   My bibliography  Save this article

Life-Cycle Income Hypothesis And Demographic Structure: A Semi-Nonparametric Analysis Using A Panel Of Countries

Author

Listed:
  • CHEOLBEOM PARK

    (Department of Economics, Korea University, Anam-dong, Seongbuk-gu, Seoul, Republic of Korea 136-701, Republic of Korea)

  • JINA YU

    (Broadcasting & Spectrum Policy Research Division, Korea Information Society Development Institute (KISDI), 38 Youngmeori 2 gil (1-1 Juam-dong), Gwacheon-si, Gyeonggi-do, Republic of Korea 427-710, Republic of Korea)

Abstract

In this paper, we attempt to determine whether the life-cycle income (LCI) hypothesis can explain movements in the national savings rate using the panel data of countries and the semi-nonparametric approach. While relating movements in the population density function to movements in the national savings rate, we are able to estimate the age response function with a high level of precision, and the estimated age response function is hump-shaped, which is generally consistent with the prediction from the LCI hypothesis. Running time-series regressions separately for individual countries, we also demonstrate that the estimated age response functions are consistent with the LCI hypothesis in a large proportion of countries, despite limited observations in a variety of countries. Finally, our time-series and cross-sectional analysis results imply that the LCI hypothesis is more likely to hold in a country wherein the growth rate of per capita GDP and the growth rate of population are high.

Suggested Citation

  • Cheolbeom Park & Jina Yu, 2013. "Life-Cycle Income Hypothesis And Demographic Structure: A Semi-Nonparametric Analysis Using A Panel Of Countries," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 58(01), pages 1-18.
  • Handle: RePEc:wsi:serxxx:v:58:y:2013:i:01:n:s0217590813500033
    DOI: 10.1142/S0217590813500033
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0217590813500033
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0217590813500033?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gylfason, Thorvaldur, 2001. "Natural resources, education, and economic development," European Economic Review, Elsevier, vol. 45(4-6), pages 847-859, May.
    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. Guy Michaels, 2011. "The Long Term Consequences of Resource‐Based Specialisation," Economic Journal, Royal Economic Society, vol. 121(551), pages 31-57, March.
    2. Blanco, Luisa & Grier, Robin, 2012. "Natural resource dependence and the accumulation of physical and human capital in Latin America," Resources Policy, Elsevier, vol. 37(3), pages 281-295.
    3. Ahmet Faruk AYSAN & Mustapha Kamel NABLI & Marie‐Ange VÉGANZONÈS‐VAROUDAKIS, 2007. "Governance Institutions And Private Investment: An Application To The Middle East And North Africa," The Developing Economies, Institute of Developing Economies, vol. 45(3), pages 339-377, September.
    4. Londari Yamarak & Kevin A. Parton, 2023. "Impacts of mining projects in Papua New Guinea on livelihoods and poverty in indigenous mining communities," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(1), pages 13-27, January.
    5. Zhou, Xiaoyan & Zhang, Jie & Li, Junpeng, 2013. "Industrial structural transformation and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 57(C), pages 43-51.
    6. Marcelo Bentes Diniz & Ricardo Bruno Santos do Nascimento & Márcia Jucá Teixeira Diniz & Cláudio Castelo Branco Puty & Sérgio Luiz de Medeiros Rivero, 2007. "A Amazônia (Legal) Brasileira: Evidências De Uma Condição De Armadilha Da Pobreza?," Anais do XXXV Encontro Nacional de Economia [Proceedings of the 35th Brazilian Economics Meeting] 090, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    7. Ishak, Phoebe W. & Gradstein, Mark, 2021. "We Don't Need No Education: The Effect of Persistent Income Shocks on Human Capital," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242368, Verein für Socialpolitik / German Economic Association.
    8. Aguirre Unceta, Rafael, 2021. "The economic and social impact of mining-resources exploitation in Zambia," Resources Policy, Elsevier, vol. 74(C).
    9. Guan, Jialin & Kirikkaleli, Dervis & Bibi, Ayesha & Zhang, Weike, 2020. "Natural resources rents nexus with financial development in the presence of globalization: Is the “resource curse” exist or myth?," Resources Policy, Elsevier, vol. 66(C).
    10. Muhamad, Goran M. & Heshmati, Almas & Khayyat, Nabaz T., 2021. "How to reduce the degree of dependency on natural resources?," Resources Policy, Elsevier, vol. 72(C).
    11. Wang, Shuhong & Tian, Wenqian & Lu, Binbin, 2023. "Impact of capital investment and industrial structure optimization from the perspective of "resource curse": Evidence from developing countries," Resources Policy, Elsevier, vol. 80(C).
    12. Rogers, Mark Llewellyn, 2008. "Directly unproductive schooling: How country characteristics affect the impact of schooling on growth," European Economic Review, Elsevier, vol. 52(2), pages 356-385, February.
    13. Satti, Saqlain Latif & Farooq, Abdul & Loganathan, Nanthakumar & Shahbaz, Muhammad, 2014. "Empirical evidence on the resource curse hypothesis in oil abundant economy," Economic Modelling, Elsevier, vol. 42(C), pages 421-429.
    14. Mahsa Jahandideh, 2020. "Resource‐driven victory," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(4), pages 877-898, August.
    15. Costantini, Valeria & Monni, Salvatore, 2008. "Environment, human development and economic growth," Ecological Economics, Elsevier, vol. 64(4), pages 867-880, February.
    16. Li, Mengxu & Liu, Jianghua & Chen, Yang & Yang, Zhijiu, 2023. "Can sustainable development strategy reduce income inequality in resource-based regions? A natural resource dependence perspective," Resources Policy, Elsevier, vol. 81(C).
    17. Phoebe W. Ishak & Mohammad Reza Farzanegan, 2022. "Oil price shocks, protest, and the shadow economy: Is there a mitigation effect?," Economics and Politics, Wiley Blackwell, vol. 34(2), pages 298-321, July.
    18. Roula Inglesi-Lotz & Luis Diez del Corral Morales, 2017. "The Effect of Education on a Country’s Energy Consumption: Evidence from Developed and Developing Countries," Working Papers 201733, University of Pretoria, Department of Economics.
    19. Sandbu, Martin E., 2006. "Natural wealth accounts: A proposal for alleviating the natural resource curse," World Development, Elsevier, vol. 34(7), pages 1153-1170, July.
    20. Craig Richardson, 2016. "What the Law of Comparative Advantage Misses in Africa: A New Measure of Economic Complexity," Proceedings of Economics and Finance Conferences 3205763, International Institute of Social and Economic Sciences.

    More about this item

    Keywords

    Age distribution; Fourier flexible form; life-cycle income hypothesis; semi-nonparametric regression; series estimation; E21; D91; C14;
    All these keywords.

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    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:wsi:serxxx:v:58:y:2013:i:01:n:s0217590813500033. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ser/ser.shtml .

    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.