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A Generalized Framework for the Assessment of Household Financial Vulnerability

Author

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  • Mindaugas Leika
  • Daniela Marchettini

Abstract

Household financial fragility has received considerable attention following the global financial crisis, but substantial gaps remain in the analytical underpinnings of household financial vulnerability assessment, as well as in data availability. This paper aims at integrating the contributions in the literature in a coherent fashion. The study proposes also analytical and estimation extensions aimed at improving the quality of estimates and allowing the assessment of household financial vulnerability in presence of data limitations. The result of this effort is a comprehensive framework, that has wide applicability to both advanced and developing economies. For illustrative purposes the paper includes a detailed application to one developing country (Namibia).

Suggested Citation

  • Mindaugas Leika & Daniela Marchettini, 2017. "A Generalized Framework for the Assessment of Household Financial Vulnerability," IMF Working Papers 2017/228, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2017/228
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    Citations

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    Cited by:

    1. Youngna Choi, 2022. "Economic Stimulus and Financial Instability: Recent Case of the U.S. Household," JRFM, MDPI, vol. 15(6), pages 1-25, June.
    2. Shari De Baets & Dilek Önkal & Wasim Ahmed, 2022. "Do Risky Scenarios Affect Forecasts of Savings and Expenses?," Forecasting, MDPI, vol. 4(1), pages 1-28, February.
    3. Liaqat Ali & Muhammad Kamran Naqi Khan & Habib Ahmad, 2020. "Financial Fragility of Pakistani Household," Journal of Family and Economic Issues, Springer, vol. 41(3), pages 572-590, September.
    4. Lei He & Shuyi Zhou, 2022. "Household Financial Vulnerability to Income and Medical Expenditure Shocks: Measurement and Determinants," IJERPH, MDPI, vol. 19(8), pages 1-17, April.
    5. Gaston Giordana & Michael Ziegelmeyer, 2024. "Using household-level data to guide borrower-based macro-prudential policy," Empirical Economics, Springer, vol. 66(2), pages 785-827, February.
    6. M. M. Naeser Seldal & Ellen K. Nyhus, 2022. "Financial Vulnerability, Financial Literacy, and the Use of Digital Payment Technologies," Journal of Consumer Policy, Springer, vol. 45(2), pages 281-306, June.
    7. Hosung Jung & Hyun Hak Kim, 2020. "Default Probability by Employment Status in South Korea," Asian Economic Papers, MIT Press, vol. 19(3), pages 62-84, Fall.
    8. Dang, Chao & Chen, Xinyang & Yu, Shengjie & Chen, Rongda & Yang, Yifan, 2022. "Credit ratings of Chinese households using factor scores and K-means clustering method," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 309-320.

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