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Inability to face unexpected expenses and monetary poverty in Poland: Are these two faces on the same coin?

Authors

DOI:

https://doi.org/10.24136/eq.3049

Keywords:

financial distress, monetary poverty, household, Shapley-Owen decomposition, logit model

Abstract

Research background: The economic literature often states that monetary poverty does not coincide with other types of poverty. The paper examines monetary poverty and financial distress, which refer to distinct aspects of poverty. It addresses the issue by explaining how the same household characteristics affect these different types of poverty.

Purpose of the article: The paper aims to identify socioeconomic variables influencing financial distress and monetary poverty in Poland. In addition, the relative contribution of household-level variables in explaining McFadden’s R2 for the financial dimensions under consideration is assessed.

Methods: The study relies on data from the EU Statistics on Income and Living Conditions (EU-SILC) survey in 2022. Logistic regression analysis empirically tests the impact of socioeconomic variables on financial distress and income poverty. Moreover, the relative importance of regressors is determined using the Shapley-Owen decomposition analysis.

Findings & value added: The results have revealed that the smallest group consisted of only monetary poor households, followed by both monetary poor and financially distressed. The largest group was made up of households that experienced only financial distress. Such an incomplete overlap in experiencing the examined types of poverty implies the importance of studying financial distress alongside traditional income indicator. The study indicated a statistically significant role for characteristics such as disability, unemployment, education, the burden of the repayment of debts, household type, and tenure status in experiencing all the types of poverty considered. Furthermore, it was observed that the explanatory power of the models varied depending on the types of poverty under consideration. The results also revealed a substantial relative contribution of education to McFadden’s R2 in all models, indicating that education level substantially explains vulnerability to financial fragility. The contribution of other regressors varied among the models describing the types of poverty analyzed. These findings should stimulate policymakers, as effective policies are needed to alleviate different types of poverty.

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Author Biographies

  • Hanna Dudek, Warsaw University of Life Sciences - SGGW

    Hanna Dudek is an Associate Professor at the Department of Econometrics and Statistics, Institute of Economics and Finance, Warsaw University of Life Sciences. Her main research fields include applied econometrics, measurement of material deprivation, and multidimensional poverty analysis. She has published more than 100 papers published in scientific journals and monographs.

  • Joanna Landmesser, Warsaw University of Life Sciences - SGGW

    Joanna Landmesser-Rusek is an Associate Professor at the Department of Econometrics and Statistics, Institute of Economics and Finance, Warsaw University of Life Sciences. Her main research interests focus on microeconometric modelling: counterfactual scenarios analysis, decomposition of income inequalities, hazard models, and multidimensional poverty. She has published more than 80 research papers in scientific journals and three monographs.

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Published

19-08-2024

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How to Cite

Dudek, H., & Landmesser, J. (2024). Inability to face unexpected expenses and monetary poverty in Poland: Are these two faces on the same coin?. Equilibrium. Quarterly Journal of Economics and Economic Policy. https://doi.org/10.24136/eq.3049

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