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Households’ financial vulnerability in Southern Europe

Author

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  • Marco Terraneo

Abstract

Purpose - The purpose of this paper is to analyze whether and to what extent households living in southern Europe, i.e. Greece, Portugal, Spain and Italy, experience similar conditions of financial vulnerability, considering that in comparative research these countries are often grouped together because of the substantial instability of their economies and the similarity of social and welfare model. Design/methodology/approach - The authors use data from Household Finance and Consumption Survey, a quite novel data set that covers the whole balance sheet of a sample of households. The authors compute four indicators of debt burden and in order to study households’ risk of default the authors apply two-part model, which is a valuable alternative to the application of conventional regression models with zero-inflated data. Findings - Analysis reveals that the burden of debts and the risk of default are very different among the four countries, in particular Spain and Portugal have the highest proportion of financially vulnerable households. Originality/value - The study is one a few that have directly compared objectives indicators of households’ financial vulnerability in all Southern European countries. Moreover, the authors employ a two-part model, a valuable alternative to the application of conventional logit or linear regression models. In the first part of the model the authors estimate the probability that households suffer financial vulnerability; in the second part, the authors estimate households’ level of vulnerability only for vulnerable families.

Suggested Citation

  • Marco Terraneo, 2018. "Households’ financial vulnerability in Southern Europe," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 45(3), pages 521-542, August.
  • Handle: RePEc:eme:jespps:jes-08-2016-0162
    DOI: 10.1108/JES-08-2016-0162
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    Citations

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    Cited by:

    1. Grzegorz Wałęga & Agnieszka Wałęga, 2021. "Over-indebted Households in Poland: Classification Tree Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(2), pages 561-584, January.
    2. 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.
    3. Eva Branten, 2022. "The role of risk attitudes and expectations in household borrowing: evidence from Estonia," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 22(2), pages 126-145.

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