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Poverty of Young People: Context and Household Effects in North-Western Italy

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Abstract

In countries characterized by large territorial differences in living standards, indicators of relative poverty measured at the national level might hide significant heterogeneities in the experience of individual households. We propose a relative indicator of poverty to be computed at the local level and to be added to the standard national poverty indicators. In fact, the greater the distance between local and national relative poverty, the more heterogeneous are contexts within the same country, hence requiring heterogeneous and specific policies at the local level to be added to nationwide ones. To show the usefulness of this additional indicator, we offer an application to young households in three provinces of North-Western Italy, the richest area in the country. Thanks to the additional indicator, we show that the poverty of households with children, mostly living in metropolitan areas or small towns, emerges only when observing a “local relative” measure of poverty. We conclude by discussing the gains of our proposed indicator for local policy interventions, to be added to nationwide policies.

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Notes

  1. We refer to the year 2013, for comparability with the dataset of our analysis (see Sect. 4).

  2. Other scales of equivalence, such as OECD, take into account both the number and age of members in the household.

  3. In defining the measurement of absolute poverty, relevance is given to the possibility of applying economies of scale in purchasing many goods and services considered to be fundamental. Generally, multiplicative coefficients are adopted that summarize the effect of saving/not saving while purchasing.

  4. The prices underlying the definition of the monetary value of the basket corresponding to absolute poverty are differentiated according to their geographical distribution, using the lowest prices in all provincial capitals that participated in calculating the national price index. This takes into account the various kinds of commercial distribution found nationwide and defines the lowest price «within the type of distribution known as “hard discount”, the one found in modern distribution (hypermarkets, supermarkets, department stores, businesses with branches or chains of stores) and the one used in traditional distribution (corner stores, traditional shops, consumer cooperatives, street markets, other)» (Istat 2009, 71).

  5. ArchIMEDe data are available at Istat Adele Lab, https://www.istat.it/adele/ListaRilevazioni.

  6. Except in three cases where they are slightly lower (households with three or four members living in metropolitan areas and households with three members living in large municipalities).

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Acknowledgements

This work was made possible thanks to the analysis activity carried out in the framework of the SPoT project. We would like to thank the participants of the conference on “Well-being and Territory: Methods and Strategies”, which was held on 23 and 24 May 2019 in Ascoli Piceno, for the discussion and their suggestions.

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Correspondence to Marianna Filandri.

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Appendix

Appendix

See Tables 9, 10, 11, 12 and 13.

Table 9 Carbonaro equivalence scale coefficients.
Table 10 Variables included in the model, modalities and administrative sources.
Table 11 Absolute and relative poverty for independent young people, by province of residence (percentage).
Table 12 Logistic regression models for the likelihood of being relative poor by household structure.
Table 13 Logistic regression models for the likelihood of being relative poor by level of urbanization and household structure.

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Ballabio, S., Filandri, M., Pacelli, L. et al. Poverty of Young People: Context and Household Effects in North-Western Italy. Soc Indic Res 161, 819–842 (2022). https://doi.org/10.1007/s11205-020-02409-5

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