IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0329213.html
   My bibliography  Save this article

The time-varying bidirectional causal relationship between household education expenditure and resident credit behavior: Dynamic quantile evidence and heterogeneous mechanisms

Author

Listed:
  • Chunyan Jiang
  • Yayun Wang
  • Wanqi Li
  • Runze Ding

Abstract

This study aims to investigate the time-varying bidirectional causal relationship between household education expenditure and resident credit behavior, as well as the heterogeneous mechanisms under different economic conditions and household characteristics. By constructing a TVP-SV-VAR model and a QVAR-DY model, we analyze urban household data in China from January 2015 to December 2024, unveiling the dynamic relationship between education expenditure and credit behavior, along with their asymmetry and heterogeneity. The findings reveal a significant bidirectional causal relationship between household education expenditure and resident credit behavior, which exhibits heterogeneity across different quantile levels and is influenced by household income, education level, and credit interest rates. Additionally, this study employs static and dynamic window methods to analyze the short-term, medium-term, and long-term spillover effects. Based on these findings, we propose policy recommendations for optimizing household education investment and credit market management under low, medium, and high-risk levels.

Suggested Citation

  • Chunyan Jiang & Yayun Wang & Wanqi Li & Runze Ding, 2025. "The time-varying bidirectional causal relationship between household education expenditure and resident credit behavior: Dynamic quantile evidence and heterogeneous mechanisms," PLOS ONE, Public Library of Science, vol. 20(8), pages 1-39, August.
    • Handle: RePEc:plo:pone00:0329213
    DOI: 10.1371/journal.pone.0329213
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0329213
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0329213&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0329213?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
    ---><---

    References listed on IDEAS

    as
    1. Peersman, Gert & Wauters, Joris, 2024. "Heterogeneous household responses to energy price shocks," Energy Economics, Elsevier, vol. 132(C).
    2. Alexander Monge-Naranjo & Luis J. Hall, 2003. "Access to Credit and the Effect of Credit Constraints on Costa Rican Manufacturing Firms," Research Department Publications 3164, Inter-American Development Bank, Research Department.
    3. Alice M. Henriques & Joanne W. Hsu, 2014. "Analysis of Wealth Using Micro- and Macrodata: A Comparison of the Survey of Consumer Finances and Flow of Funds Accounts," NBER Chapters, in: Measuring Economic Sustainability and Progress, pages 245-274, National Bureau of Economic Research, Inc.
    4. Wang, Haining & Cheng, Zhiming & Smyth, Russell, 2022. "Parental misbeliefs and household investment in children's education," Economics of Education Review, Elsevier, vol. 89(C).
    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. Aroop Chatterjee & Léo Czajka & Amory Gethin, 2020. "Estimating the Distribution of Household Wealth in South Africa," Working Papers hal-02876974, HAL.
    2. Andreasch Michael & Lindner Peter, 2016. "Micro- and Macrodata: a Comparison of the Household Finance and Consumption Survey with Financial Accounts in Austria," Journal of Official Statistics, Sciendo, vol. 32(1), pages 1-28, March.
    3. Matthew Smith & Owen Zidar & Eric Zwick, 2020. "Top Wealth in America: New Estimates and Implications for Taxing the Rich," Working Papers 264, Princeton University, Department of Economics, Center for Economic Policy Studies..
    4. Galindo, Arturo & Schiantarelli, Fabio, 2002. "Credit Constraints in Latin America: An Overview of the Micro Evidence," IDB Publications (Working Papers) 1438, Inter-American Development Bank.
    5. Aboohamidi, Abbas & Chidmi, Benaissa, 2015. "Changes in the Wealth of American Households during the 2007-2009 Financial Crisis in the U.S," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205451, Agricultural and Applied Economics Association.
    6. Hodula, Martin, 2025. "Retail crypto investors when facing financial constraints: Evidence from energy shocks and the use and downloads of crypto trading apps," Energy Economics, Elsevier, vol. 144(C).
    7. Jesse Bricker & Alice Henriques & Jacob Krimmel & John Sabelhaus, 2016. "Measuring Income and Wealth at the Top Using Administrative and Survey Data," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(1 (Spring), pages 261-331.
    8. Kennickell, Arthur B., 2021. "Chasing the Tail: A Generalized Pareto Distribution Approach to Estimating Wealth Inequality," SocArXiv u3zs2, Center for Open Science.
    9. Arthur B. Kennickell, 2019. "The tail that wags: differences in effective right tail coverage and estimates of wealth inequality," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(4), pages 443-459, December.
    10. Dunke, Fabian & Nickel, Stefan, 2025. "Approximate and exact approaches to energy-aware job shop scheduling with dynamic energy tariffs and power purchase agreements," Applied Energy, Elsevier, vol. 380(C).
    11. Sucre Reyes, M.A., 2014. "Finance, growth and social fairness : Evidence for Latin America and Bolivia," Other publications TiSEM ad514338-1973-4ec9-b5c7-2, Tilburg University, School of Economics and Management.
    12. Aroop Chatterjee & Léo Czajka & Amory Gethin, 2022. "Wealth Inequality in South Africa, 1993–2017," The World Bank Economic Review, World Bank, vol. 36(1), pages 19-36.
    13. Xiaodong Zheng & Yanran Zhou, 2024. "Are migrants a threat? Migrant children and human capital investments among local households in urban China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    14. Alina K. Bartscher & Moritz Kuhn & Moritz Schularick & Ulrike I. Steins, 2020. "Modigliani Meets Minsky: Inequality, Debt, and Financial Fragility in America, 1950-2016," Working Papers Series inetwp124, Institute for New Economic Thinking.
    15. Wen, Xin & Cheng, Zhiming & Tani, Massimiliano, 2025. "Daughters, Savings and Household Finances," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 117(C).
    16. Nickel, Christiane & Kilponen, Juha & Moral-Benito, Enrique & Koester, Gerrit & Ciccarelli, Matteo & Enders, Almira & Holton, Sarah & Landau, Bettina & Venditti, Fabrizio & Bobeica, Elena & Brand, Cla, 2025. "A strategic view on the economic and inflation environment in the euro area," Occasional Paper Series 371, European Central Bank.
    17. Chen, Yefeng & Yang, Wenyuan & Luo, Gansong & Luo, Jun, 2024. "Choosing tournament for children: Parenting style and information intervention," China Economic Review, Elsevier, vol. 85(C).
    18. Christopher L Foote & Lara Loewenstein & Paul S Willen, 2021. "Cross-Sectional Patterns of Mortgage Debt during the Housing Boom: Evidence and Implications," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(1), pages 229-259.
    19. Gutsch, Alexandra & Schult, Christoph, 2025. "The German energy crisis: A TENK-based fiscal policy analysis," IWH Discussion Papers 1/2025, Halle Institute for Economic Research (IWH).
    20. Brian Bucks & Karen Pence, 2015. "Wealth, pensions, debt, and savings: Considerations for a panel survey," Journal of Economic and Social Measurement, IOS Press, issue 1-4, pages 151-175.

    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:plo:pone00:0329213. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.