IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v181y2019icp120-126.html
   My bibliography  Save this article

On the nexus of fertility and debt

Author

Listed:
  • Sun, Lixin

Abstract

This paper examines the effects of debt on fertility with panel data. The baseline model confirms that both public and non-financial private debt significantly mitigate fertility, whereas the dynamic panel suggests that only the effects of private debt are significant.

Suggested Citation

  • Sun, Lixin, 2019. "On the nexus of fertility and debt," Economics Letters, Elsevier, vol. 181(C), pages 120-126.
  • Handle: RePEc:eee:ecolet:v:181:y:2019:i:c:p:120-126
    DOI: 10.1016/j.econlet.2019.05.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176519301636
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2019.05.004?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. Gary S. Becker & Kevin M. Murphy & Robert Tamura, 1994. "Human Capital, Fertility, and Economic Growth," NBER Chapters, in: Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, Third Edition, pages 323-350, National Bureau of Economic Research, Inc.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Schultz, T. Paul, 2005. "Fertility and Income," Center Discussion Papers 28500, Yale University, Economic Growth Center.
    4. Kai Zhao, 2014. "War Finance and the Baby Boom," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(3), pages 459-473, July.
    5. Fanti, Luciano & Spataro, Luca, 2013. "On the relationship between fertility and public national debt," Economic Modelling, Elsevier, vol. 33(C), pages 843-849.
    6. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    7. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    8. Papagni, Erasmo, 2006. "Household borrowing constraints, fertility dynamics, and economic growth," Journal of Economic Dynamics and Control, Elsevier, vol. 30(1), pages 27-54, January.
    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. Deng, Xin & Yu, Mingzhe, 2021. "Does the marginal child increase household debt? – Evidence from the new fertility policy in China," International Review of Financial Analysis, Elsevier, vol. 77(C).
    2. Aso Hiroki & Ueshina Mitsuru, 2023. "Fertility, fiscal deficit and sustainability of public debt in an endogenous growth model," Economics and Business Review, Sciendo, vol. 9(3), pages 224-238, October.

    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. Filippo Berti Mecocci & Amir Maghssudipour & Marco Bellandi, 2022. "The effect of cultural and creative production on human capital: Evidence from European regions," Papers in Regional Science, Wiley Blackwell, vol. 101(6), pages 1263-1287, December.
    2. Roberto Dell'Anno & Adalgiso Amendola, 2015. "Social Exclusion and Economic Growth: An Empirical Investigation in European Economies," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(2), pages 274-301, June.
    3. Li, Hongbin & Yang, Zheyu & Yao, Xianguo & Zhang, Haifeng & Zhang, Junsen, 2012. "Entrepreneurship, private economy and growth: Evidence from China," China Economic Review, Elsevier, vol. 23(4), pages 948-961.
    4. Youngho Kang & Byung-Yeon Kim, 2018. "Immigration and economic growth: do origin and destination matter?," Applied Economics, Taylor & Francis Journals, vol. 50(46), pages 4968-4984, October.
    5. Vieira, Flávio & MacDonald, Ronald & Damasceno, Aderbal, 2012. "The role of institutions in cross-section income and panel data growth models: A deeper investigation on the weakness and proliferation of instruments," Journal of Comparative Economics, Elsevier, vol. 40(1), pages 127-140.
    6. Alessandra Canepa & Fawaz Khaled, 2018. "Housing, Housing Finance and Credit Risk," IJFS, MDPI, vol. 6(2), pages 1-23, May.
    7. Samuel Fosu, 2013. "Banking Competition in Africa: Sub-regional Comparative Studies," Discussion Papers in Economics 13/12, Division of Economics, School of Business, University of Leicester, revised Jun 2013.
    8. Baharumshah, Ahmad Zubaidi & Slesman, Ly & Wohar, Mark E., 2016. "Inflation, inflation uncertainty, and economic growth in emerging and developing countries: Panel data evidence," Economic Systems, Elsevier, vol. 40(4), pages 638-657.
    9. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    10. Andrea Orame, 2020. "The role of bank supply in the Italian credit market: evidence from a new regional survey," Temi di discussione (Economic working papers) 1279, Bank of Italy, Economic Research and International Relations Area.
    11. Holger Zemanek & Ansgar Belke & Gunther Schnabl, 2009. "Current Account Imbalances and Structural Adjustment in the Euro Area: How to Rebalance Competitiveness," Discussion Papers of DIW Berlin 895, DIW Berlin, German Institute for Economic Research.
    12. Jing Li & Tsun Se Cheong & Jianfa Shen & Dahai Fu, 2019. "Urbanization And Rural–Urban Consumption Disparity: Evidence From China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(04), pages 983-996, September.
    13. Charles Yuji Horioka & Junmin Wan, 2007. "The Determinants of Household Saving in China: A Dynamic Panel Analysis of Provincial Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(8), pages 2077-2096, December.
    14. Isis Gaddis & Stephan Klasen, 2014. "Economic development, structural change, and women’s labor force participation:," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(3), pages 639-681, July.
    15. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    16. Cho, Seo-Young & Vadlamannati, Krishna Chaitanya, 2012. "Compliance with the Anti-trafficking Protocol," European Journal of Political Economy, Elsevier, vol. 28(2), pages 249-265.
    17. Donatella Gatti & Christophe Rault & Anne-Gael Vaubourg, 2012. "Unemployment and finance: how do financial and labour market factors interact?," Oxford Economic Papers, Oxford University Press, vol. 64(3), pages 464-489, July.
    18. Kouretas, Georgios P. & Pawłowska, Małgorzata, 2020. "Does change in the market structure have any impact on different types of bank loans in the EU?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    19. Caggese, Andrea, 2007. "Testing financing constraints on firm investment using variable capital," Journal of Financial Economics, Elsevier, vol. 86(3), pages 683-723, December.
    20. Quader, Syed Manzur, 2017. "Differential effect of liquidity constraints on firm growth," Review of Financial Economics, Elsevier, vol. 32(C), pages 20-29.

    More about this item

    Keywords

    Fertility rate; Public debt; Non-financial private debt; Dynamic panel GMM analysis;
    All these keywords.

    JEL classification:

    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

    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:eee:ecolet:v:181:y:2019:i:c:p:120-126. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.