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Lone mothers and child support receipt in 21 European countries

Published online by Cambridge University Press:  11 January 2022

Mia Hakovirta*
Affiliation:
INVEST Research Flagship Center, Department of Social Research, University of Turku, Turku, Finland
Merita Mesiäislehto
Affiliation:
Finnish Institute for Health and Welfare, Helsinki, Finland
*
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Abstract

With increasing trends in divorce, separation and multi-partner fertility, more families have become subject to child support policies. This paper explores child support receipt in 21 European countries using 2017–2018 European Union Statistics on Income and Living Conditions data. We investigated: (1) cross-country differences in the prevalence and amount of child support received and (2) the determinants of child support receipt among lone mothers across countries. We found that the proportion of lone-mother families receiving child support ranged from 16 per cent in Luxembourg to 75 per cent in the Czech Republic, with large variations in the amount of child support received. Our results suggested that the socioeconomic characteristics of lone mothers, including marital status, education, employment status, number of children and income, were associated with the likelihood of receiving child support in most countries but these associations varied significantly across countries.

Information

Type
Research Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Social Policy Association
Figure 0

Table 1. Situation of lone mothers in 21 European countries.

Figure 1

Table 2. Descriptive statistics: characteristics of lone mother families in 2017–2018.

Figure 2

Figure 1. Proportion of lone mother households receiving child support in 21 European countries in 2017–2018, %.

Figure 3

Figure 2. Median amount of child support received by lone mothers in €ppp (EU 2020 = 100) and the proportion of child support of lone mother households’ disposable income (%) in 21 European countries in 2017–2018.

Figure 4

Table 3. Logistic regression on child support receipt.

Figure 5

Figure 3. Predicted probabilities for child support receipt by marital status, education, income quintile and employment status. All models were controlled for age, marital status, education, employment, number of children and income quintile. “Divorced” refers to dissolution of a legal union (divorced/separated).

Figure 6

Table A1. Characteristics of lone mothers receiving child support by country in 2017–2018, %.

Figure 7

Table A2. Characteristics of lone mothers not receiving child support by country in 2017–2018, %.

Figure 8

Table A3. Correlations between individual and macro-level variables.