Bernd Liedl1,2
Nina-Sophie Fritsch
Cristina Samper Mejia
Roland Verwiebe- 1Department of Sociology, University of Vienna, Vienna, Austria
- 2Institute for Sociology and Social Research, Vienna University of Economics and Business, Vienna, Austria
- 3Faculty of Economics and Social Science, University of Potsdam, Potsdam, Germany
The COVID-19 crisis had severe social and economic impact on the life of most citizens around the globe. Individuals living in single-parent households were particularly at risk, revealing detrimental labour market outcomes and assessments of future perspectives marked by worries. As it has not been investigated yet, in this paper we study, how their perception about the future and their outlook on how the pandemic will affect them is related to their objective economic resources. Against this background, we examine the subjective risk perception of worsening living standards of individuals living in single-parent households compared to other household types, their objective economic situation based on the logarithmised equivalised disposable household incomes and analyse the relationship between those indicators. Using the German SOEP, including the SOEP-CoV survey from 2020, our findings based on regression modelling reveal that individuals living in single-parent households have been worse off during the pandemic, facing high economic insecurity. Path and interaction models support our assumption that the association between those indicators may not be that straightforward, as there are underlying mechanisms–such as mediation and moderation–of income affecting its direction and strength. With respect to our central hypotheses, our empirical findings point toward (1) a mediation effect, by demonstrating that the subjective risk perception of single-parent households can be partly explained by economic conditions. (2) The moderating effect suggests that the concrete position at the income distribution of households matters as well. While at the lower end of the income distribution, single-parent households reveal particularly worse risk perceptions during the pandemic, at the high end of the income spectrum, risk perceptions are similar for all household types. Thus, individuals living in single-parent households do not perceive higher risks of worsening living standards due to their household situation per se, but rather because they are worse off in terms of their economic situation compared to individuals living in other household types.
1 Introduction
The COVID-19 pandemic had enormous social and economic impact on individuals around the globe. Millions of people were severely affected in terms of their health (Kontoangelos et al., 2020); massively restricted in their personal freedom (e.g., social distancing and lockdowns) (Tisdell, 2020); had to make major changes to their daily routines (Broersma, 2022; Li et al., 2022); remained numerous weeks in furlough with minimal income, or even gradually stumbled into unemployment after dramatically reduced working hours (Schulten and Müller, 2020). In Germany, despite multiple policy interventions intended to protect citizens from infection as well as from economic hardship, severe consequences on the life of most residents could not be forestalled. More than 13.5 million individuals’ incomes fell below the poverty line in 2021, which presents an all-time high of poverty rates in Germany; unemployment rates also escalated severely (Schneider et al., 2022). Job and/or income loss during this crisis also bear the risk of increasing socioeconomic stress for individuals. This can lead to impaired risk perception and lower subjective well-being, even resulting in anxiety and/or depression (Fancourt et al., 2020; Ettman et al., 2021). As the pandemic prolonged, risk perceptions, states of mental health and well-being were likewise deteriorating (Entringer and Kröger, 2021; Hiekel and Kühn, 2022; Romero-Gonzalez et al., 2022). Thus, the severe consequences of the COVID-19 crisis can be displayed by a set of objective (e.g., income, unemployment rate, hours employed, number of days of sick leave) and subjective (e.g., risk perception, well-being, life satisfaction) indicators.
Looking at some of these indicators separately, prior research has shown that the recent crisis has hit certain social groups harder than others and that socioeconomic risks are not equally distributed among different household types in Germany (BMAS, 2017; Butterwege, 2021; Hipp and Bünning, 2021; Huebener et al., 2021; Kreyenfeld and Zinn, 2021; Kuhn et al., 2021; Blundell et al., 2022; Li et al., 2022). In a nutshell, those indicators emphasise that individuals living in single-parent households1 were particularly affected during the pandemic (Dromey et al., 2020; Hertz et al., 2021). They faced the highest poverty rate of all household types (42 percent in 2022) and revealed worrying perceptions about their future (Schneider et al., 2022). This may not come as a surprise since they had to manage additional obstacles such as an increased burden of unpaid housework and home schooling overnight. Single parents were severely affected by the shift of all childcare responsibilities from formal institutions to private households, putting them under enormous stress and only raising more concerns about caregivers’ mental health and wellbeing (Li et al., 2022). Where couple-parent households with children at least had greater flexibility arranging their additional tasks and time budgets for balancing work and family issues, single parents did not even have the comforting support of a partner. In fact, single parents had to shoulder it all on their own and were left alone to cope with the impossible in times of increasing uncertainty (O'Reilly, 2020; Carotta et al., 2022).
Interestingly enough, previous research on the situation of single-parent households during the COVID-19 crisis has not sufficiently investigated the relationship between those subjective and objective indicators so far. It is still not entirely clear how to explain their perception about the future and to what extent their outlook is related to their objective economic conditions. In order to close this research gap, we analyse their situation during the pandemic, by determining how new (and worsened) economic realities influence the subjective future risk perception of individuals living in single-parent households.
Against this background, we go beyond previous research as we do not only examine (i) the subjective indicator of individual risk perception of individuals living in single-parent households and (ii) their objective economic situation (based on the logarithm of their equivalised disposable household income), but (iii) also assess the relationship between those indicators. In applying this approach, we focus on the experiences of individuals living in single-parent households in Germany during the pandemic, while comparing them to individuals living in three other household types (singles without children, couple-parent households with children, couples without children). For our analyses, we use data from the German Socio-Economic Panel (GSOEP), including the specific SOEP-CoV survey from 2020, which observed the same individuals before and during the COVID-19 crisis. As our modelling strategy, we apply path and interaction models (Baron and Kenny, 1986; Aichholzer, 2017) in order to disentangle the seemingly obvious relation between household type and risk perception, whilst considering income as mediating and moderating variable. Here, path modelling is particularly suitable to test a mediation relation, because (1) it allows us to look at the relationship of two variables (in our case household type and risk perception) at the same time, next to (2) analysing the changing relation between them once we include another explanatory variable (income). In addition, an interaction model (between household type and income) allows us to test whether and to what extent the income level affects the risk perceptions of different household types.
Our findings reveal that individuals living in single-parent households have been worse off in the past decades and continue to be a special risk group, showing high economic insecurity during the pandemic. Although individuals in different household types seem to reveal unequal risk perceptions at first glance, these effects forfeit explanatory power once we include income into the model. In particular, we find that their economic situation mediates the effect of household types on risk perception during the COVID-19 crisis. Furthermore, the interaction model reveals that the level of income does moderate the risk perception of parents in contrast to non-parents, yet both partnered parents and single parents share similar negative risk perceptions when they earn a low income. Since single-parent households are likely to have a low income, this also largely explains the differences in risk perceptions between coupled parents and single parents. Thus, our findings demonstrate that the weak financial situation prevalent amongst individuals living in single parent households is inherent in their comparably more negative future risk perception.
2 Background information on individuals living in single-parent households in Germany
Providing some institutional background information, Germany is categorised as a corporatist welfare state, coinciding with a (modernised) male-breadwinner model/female caregiver model, shaping the distribution of resources and opportunities contingent on employment or family position (Esping-Andersen, 1990; Lewis, 1992; Orloff, 1996; Lohmann and Zagel, 2016). For most of the time after the German reunification, family and social policies favoured traditional couple-parent households through the tax code, health insurance, child care, child benefits and other social security regulations, thus either perpetuating women’s dependence on a male breadwinner or disadvantaging single-parent households (Trappe et al., 2015, p. 232). In the course of an expanding service sector, however, the female employment rate increased steadily (even if almost always in part-time work), in turn fostering women’s labour market attachment, their educational attainment and progressive gender role norms (Brückner, 2004; Fritsch, 2014; Fritsch et al., 2022). In line with these changing contextual conditions and combined with an ongoing flexibilization of the labour market addressing an overall economic crisis in the 1990’s (Verwiebe and Fritsch, 2011; Verwiebe et al., 2013, 2014, 2019; Teitzer et al., 2014; Fritsch and Verwiebe, 2018; Riederer et al., 2019), Germany is slowly experiencing social policy changes (Streek, 2009; Hinrichs, 2010). This includes familialising policies such as the introduction of an earnings-related and gender-neutral parental leave benefit for the duration of 12–14 months, alongside de-familialising policies such as the expansion of childcare provision for children between the ages of one to 3 years, and a legal claim for publicly provided or subsidised childcare for every child over the age of one since 2013 (Seeleib-Kaiser, 2016, p. 225).
During the pandemic crisis, existing social security programs were substantially expanded and provided generous subsidies for German citizens. Especially with the social insurance program Kurzarbeit (short-time), authorities devised a massive 700 billion Euros plan, in order to protect worker’s income and prevent mass-layoffs; here, the government pays employees at least 60% of their regular pay for the hours not worked; and even 67% for working parents (Bariola and Collins, 2021, p. 1682). On the downside, this program does not include temporary and marginal employment, such as “mini jobs” for example. And indeed, single parents are more often in Kurzarbeit (short-time) and thus have to face above average income loss during the pandemic (BMFSFJ, 2021b, p. 26). Although the German welfare state is intended to promote social protection for vulnerable groups, we observe significant imbalances in terms of guaranteeing achieved living standards–especially for individuals living in single-parent households.
In order to build a bridge between institutional arrangements and economic realities of individuals living in different household types in Germany, we present some descriptive trends of how their shares have developed over the last two decades and portray their economic situation (median incomes, poverty risks, and unemployment rates) in Table 1 (the percentages are displayed for individuals who live in different household types). In Germany around 7.6 percent of the individuals live in single-parent households, and one of five households with children are headed by single parents, which corresponds to 6% of all households. Dependent children are living in around 1.5 million single-parent households, numbers that have stayed constant since 2009, 88% of them headed by females (BMFSFJ, 2021a).
Table 1. Economic situation of individuals living in different household types in Germany (2010–2020).
Furthermore, Table 1 reveals that economic risks are not equally distributed among individuals living in different household types and they are gaining relevance over the past decades in Germany (BMAS, 2017; Boehle, 2019; Schneider et al., 2022). This increase in inequality between different household types can be (at least partially) attributed to the massive labour market reforms (Hartz legislation). Overall, we observe that of all household types, single parents and their children are most often affected by socioeconomic risks, which only have become more pronounced in the past decades (Kraus, 2014). Within the last decades, we observe (1) a general tendency of decreasing unemployment rates, followed by (2) by increased poverty rates, which are (3) especially elevated for individuals living in single-parent households. With regard to the income development, it is apparent, that the median monthly household income of the total population has risen significantly in the last decade. However, this is not the case for individuals living in single-parents households. Rather, the income gap of individuals living in single-parent households has grown compared to the total German population.2
It is important to notice that in times of the COVID-19 pandemic, individuals living in single-parent households were worse off once again. Next to individuals living in households with three or more children (32 percent), single-parent households face the highest poverty rate of all household types in Germany in 2022 (42 percent) (Schneider et al., 2022). Federal intervention programs were likely to fizzle out due to high inflation rates and especially support households with proportionally higher incomes.3 Noticeable financial relief increases with the amount of income while the poorest again only received support insufficiently. Thus, the pandemic–followed by historically high levels of inflation–has widened the gap between poorer and richer households in Germany.
3 Individuals living in single-parent households, subjective risk perceptions, and income: prior and present research
3.1 Subjective indicator: individual risk perception of worsening living standards
As the subjective indicator we use the individual risk perception of worsening living standards. The concept of risk perception is complex and scholars from varying disciplines approach it differently, accounting for diverse ways in which people perceive and process risks they face in the social context of day-to-day life (Zinn, 2006; Soiné et al., 2021). One common denominator is the distinction between reality and possibility, where an undesirable state of reality4 may occur as a result of human activities or natural events–such as the COVID-19 pandemic–and may (not) lead to consequences that affect aspects of what individuals value (Renn and Rohrmann, 2000, p. 13). Within this process, individuals receive signals (such as lockdowns and a threatening labour market crisis), as well as information about possible future outcomes (e.g., job and income loss) and then tend to form respective opinions and attitudes toward the impact. Thus, risk perception can be defined as individual’s evaluation of possible outcomes they are or will be exposed to Taylor-Gooby and Zinn (2006) and Lidskog and Sundqvist (2013).
With respect to prior research focusing on the COVID-19 pandemic, it has been shown, that due to higher health risks, confinement-related adjustments in daily routines, a reduction of social contacts outside the household, additional screen-time and fewer opportunities for physical (outdoor) activities, risk perceptions are deteriorating (Prime et al., 2020; Möhring et al., 2021). Amongst other things, this applies to growing socioeconomic insecurities (e.g., because auf Kurzarbeit (short-term), layoffs or income loss) as well as, in turn, worsening individuals’ personal assessment about their future living standards. All parents (Hipp and Bünning, 2021; Li et al., 2022), but in particular single parents were challenged, since they had to manage the double burden of paid employment and additional care work at the same time (Bariola and Collins, 2021). In line with this, Calvano et al. (2022) and Racine et al. (2021) suggest that managing child care obligations, employment assignments and complying with the confinement measures was one main contributing factor for the decline in parents’ mental health. Against this background, we assume that single-parent households show worse subjective risk perceptions, compared to other household types during the COVID-19 pandemic, since they are disadvantaged by not having a partner to rely on emotionally or economically in times of crisis (Hypothesis 1).
Furthermore, prior research reveals that next to the household type other individual characteristics have an impact on risk assessments during the COVID-19 crisis, such as age, education, migration background, or employment status. For example, Wanberg et al. (2020) displays that highly educated individuals experience a greater increase in depressive symptoms and a greater decrease in life satisfaction from before to during COVID-19 in comparison to those with lower education. Kivi et al. (2021) reveal that although senior adults aged 65–71 perceived high societal risks related to the pandemic, the majority was neither particularly worried about their financial situation nor showed pronounced declines in their overall well-being. Finally, there is research emphasising the disproportionately harsh impact on unprivileged populations such as migrants. These populations are often more exposed to infections, but less protected, while at the same time being at higher risk of suffering from poor living and working conditions, and limited access to healthcare, all of which is challenging to their mental health (Garrido et al., 2023). Bearing those results in mind, we account for heterogeneity in the individual risk perception by including control variables, such as age, gender, education, migration background and employment status.
3.2 Objective indicator: equivalised income
As the objective indicator we consider equivalised earnings derived from the disposable household income of each individual’s household. Here, single-parent households comprise a vulnerable group on the labour market, facing above average financial hardship (Gornick and Meyers, 2003; Wu and Eamon, 2011; Maldonado and Nieuwenhuis, 2015; Nieuwenhuis and Maldonado, 2018). Per definition, they not only lack a second parent but also a second (potential) earner in the household. Furthermore, their income is a reflection of disadvantaged labour market positions due to avoidance of jobs, which require long working hours or overtime hours, and instead choosing jobs which offer flexible working arrangements but come with lower earnings (Casey and Maldonado, 2012). Thus, single parents face a double burden as they are likely to have a deficit in both money and time, with less money to pay for professional childcare and fewer hours during the day to work and care for their children (Nieuwenhuis and Maldonado, 2018, p. 172).
The pandemic added additional fuel to this already tense situation (Cook and Grimshaw, 2021). First, single parents in Germany have an above-average employment rate within the service industry (e.g., gastronomy, trading sector), which usually offers flexible working arrangements necessary for balancing the work–family conflict. For example, in 2020, more than 17% of single-parent households were employed in the trading industry compared to 12% of couple-parent households and 9% of singles without children (GSOEP 2020/21; own calculation). However, during the pandemic large parts of the service sector were shut down for many months, either forcing employees to work in Kurzarbeit (short-time) and reduced wages or even facing layoffs. Second, the pandemic drastically changed daily working routines and the way in which work was done. Here, working (remotely) in paid employment (from home), combined with an additional burden of unpaid care work, was difficult or even impossible for single parents, hence lowering their labour productivity. In this light, we expect that single-parent households continue to be worse off and earn less than other household types during the pandemic (Hypotheses 2).
3.3 Toward an understanding of the link between household type, risk perception, and income
The central aim of this paper is to investigate the relationship between household type, risk perception, and income. However, there are two ways to look at this relationship, each embedded in another strand of existing research. On the one side, we find a growing body of research concentrating on single-parent households, especially on single mothers, and their well-being or life satisfaction (Branowska-Rataj et al., 2014; Ifcher and Zarghamee, 2014; Pollmann-Schult, 2018). This life satisfaction penalty for single mothers is commonly attributed to elevated emotional and financial stress, high levels of role overload, time pressure, and strain that accompany long-term single parenting (Nelson et al., 2013; Pollmann-Schult, 2018). These studies find that although single mothers are substantially less happy than individuals in other household types, their happiness increased in absolute and relative terms over the past few decades (Herbst, 2012); here Ifcher and Zarghamee (2014, p. 1234) suggest some “possible explanations for the observed trends: changes to social welfare programs, increased labor force participation, compositional shifts in single motherhood, and reduced stigma.” Within this strand of research, objective indicators (such as income for example) are either used as control variables, or to explain differences within the group of single-parent households.
On the other hand, there is research which has established a link between objective indicators (e.g., material goods and resources like income or wealth) and subjective indicators (e.g., risk perception, well-being, life satisfaction or happiness) (Cummins, 2000; Lever, 2004; Cho, 2018; Riederer et al., 2021; Fritsch et al., 2023). This line of research indicates that the material conditions of life are related to and constitute a reliable predictor of the individual assessments of one’s life (Burchell, 2011; Clark et al., 2013; Van der Meer, 2014). However, findings on the concrete direction of this relationship remain controversial. In short, some scholars sustain a strong positive relationship, where rich people are happier with their lives, and this relationship is more pronounced, the richer the individuals are (Esterlin, 2001; Lever, 2004). Others question this relationship, affirming that a significant part of the variance of one’s subjective assessment is not directly explained by economic variables, but rather by other psychological and physiological variables–themselves contributing a significant influence (Fuentes and Rojas, 2001; Diener and Biswas-Diener, 2002).
In order to contribute to the current state of research, in the present paper, we argue that the relation between risk perception (subjective indicator), income (objective indicator) and household type, is anything but straightforward. We analyse this seemingly obvious relationship by dismantling the underlaying mechanisms step by step. From an analytical perspective two main mechanisms are plausible, which could influence the effect of household type on risk perception (see Figure 1). First, a mediating effect, where an independent variable influences a dependent variable through a third–the mediating–variable which is related to both the independent and the dependent variable (Baron and Kenny, 1986; Cho, 2018). With respect to our research focus, this would mean that the difference in risk perception of single-parent households can be explained through a third indicator, namely income. This mediating effect will reveal, in the path model, once we look at the relationship of household type, risk perception and income at the same time, that income (partially) accounts for the link between household type and risk perception. Considering that single-parent households are more likely to face financial hardship and are above average confronted with unstable labour market conditions during the COVID-19 pandemic, it seems plausible that the economic component contributes some explanatory power for the different level of risk perception of single-parent households in comparison to other household types (Hypothesis 3a). Second, we expect to observe a moderating effect, where the third variable alters the direction or strength of the relationship between an independent variable and a dependent variable (Baron and Kenny, 1986). In our case, this would mean that the level of income affects the relationship of household type and risk perception, revealing different levels of risk perception of household types across the earnings distribution. Considering the concrete position at the income level is particularly important since financial conditions may change massively during a crisis and have shown to be a substantial predictor for risk perceptions in times of uncertainty (Burns et al., 2012). Since single-parent cannot balance financial hardship or income loss with the help of a second adult earner in the household (Eibach and Moch, 2011), the potential consequences of low(er) incomes may weigh somewhat stronger for this special risk group. Against this background, we assume comparatively less negative risk perceptions regardless of the household type at the upper end of the income distribution, while at the lower end we expect increased negative risk perceptions amongst parents and especially amongst single parents who lack the support of a partner (Hypothesis 3b).
Figure 1. Disentangling the link between household type, risk perception and income. Source: own illustration.
4 Data, methods and variables
4.1 Data
As our empirical basis we use the harmonized data from the sub-survey of the German Socio-Economic Panel, the SOEP-CoV sample,5 which contains details on specific household circumstances during the pandemic, including objective information on the household economic conditions, as well as subjective assessments of the current and future situation. The initial sample consist of 8,133 individuals; once we consider valid information on our main variables of interest (risk perception, household type, income, and controls) our final sample contains information on 6,065 respondents (2,502 men and 3,563 women).6 We restrict our sample to 2020 since important information on households–including household type and individual incomes–are not available for 2021.
4.2 Analytical strategy and variables
For our analytical strategy, we use a three-step procedure. In the first two steps, we are interested in how individuals living in single-parent households assess their situation during the pandemic whilst examining the subjective indicator of risk perception and the objective indicator of income. Throughout our modelling strategy, we compare individuals living in single-parent households to individuals living in three other household types [(1) singles without children, (2) couple-parent households with children, and (3) couples without children].7 For measuring the subjective indicator of individual risk perception respondents are asked (a) how likely they think that their living standards will diminish due to the pandemic (from 0 to 100%) or (b) if it already happened, enter 1, which we translate into 100% likelihood, since they already see the pandemic diminish their living standards.8 As the objective indicator, we use the logarithmised equivalised household income9 of individuals. In the first two steps we calculate linear regressions and present unstandardized coefficients for the subjective and objective indicator (Table 2).10
Table 2. Linear regression modelling (unstandardized coefficients, incl. controls).
In the next step we estimate a path model to uncover a possible mediation effect of income intervening in the risk perception of different household types (Aichholzer, 2017, p. 51; Baron and Kenny, 1986) and an interaction model between income level and household type to test whether there is a moderation effect of income, meaning that the effect of household type differs across different income levels (results are displayed in Figures 2, 3). According to our analytical strategy, we are interested in how earnings mediate and moderate the effect of household type on economic risk perception during the COVID-19 crisis. By using logarithmised incomes, we take into account that an increase in income has a stronger effect on risk perception in lower income groups than in higher income groups. As differences in the compositions of the household groups might be present in relation to other variables might affect risk perceptions directly, control variables we include are gender as a dummy variable (0 = men, 1 = women), age as a metric variable, migrant background as a dummy variable (0 = no migration background, 1 = direct or indirect migration background11), level of education (low, mid: vocational, and high: university), employment status (full-time, part-time, marginal, short work, unemployed or non-employed).12
Figure 2. Path model: disentangling the link between household type, risk perception and income (unstandardized coefficients, incl. controls). Source: CoV-Sample 2020; own calculations, +p < 0.10, *p < 0.05, **p < 0.01, ***p < 0.001. As subjective indicator we use individual risk perception of worsening living standards; as objective indicator we use logarithmised equivalised disposable household income; path modelling controls for gender, age, migration background, education, employment status, kids in school, kids in pre-school.
Figure 3. Moderation effect of income (Hypotheses 3b) (incl. controls). Source: CoV-Sample 2020; own calculations. As subjective indicator we use individual risk perception of worsening living standards; as objective indicator we use logarithmised equivalised disposable household income (axis labels in Euros).
5 Results
5.1 How do individuals living in single-parent households make it through the COVID-19 pandemic and how do they assess their future?
To evaluate how individuals living in different household types muddle through during the COVID-19 crisis, and whether single-parent households are particularly at risk concerning their future, we first contrast individuals’ present economic situation as well as their subjective evaluation of their prospects. Table 2 displays differences in risk perceptions (subjective indicator) and income (objective indicator) between individuals living in different household types, based on linear regression modelling after controlling for sociodemographic variables. A set of relevant findings result from these models: With respect to the subjective indicator of risk perceptions (Table 2, column 1), we observe that couples without kids and individuals living in couple-parent households assess their situation less negatively during the pandemic, compared to individuals living in single-parent households and single households (Hypothesis 1).13 Thus, our findings confirm prior research addressing household type as well as marital status as specifically important when it comes to detrimental consequences during the COVID-19 crisis (Reichelt et al., 2020; Bariola and Collins, 2021; Hiekel and Kühn, 2022). Moreover, looking at the control variables in Model 1, we can conclude that future prospects are rated less negatively with increasing age (Kivi et al., 2021) and worse if respondents have direct or indirect migration background (Garrido et al., 2023). Furthermore, the individual evaluation of future living standards is less negative the better educated and worse if individuals are currently unemployed or working part-time.
With respect to the objective indicator (Table 2, column 2) we notice that individuals living in single-parent households have to face a worse situation compared to individuals living in all other household types (Hypothesis 2). The unstandardized coefficients indicate that the gap in disposable household income is highest between individuals living in single-parent households and couples without children; but couples with children and singles are financially better off as well. Concerning our control variables Model 2 reveals patterns commonly known for Germany and other corporatist welfare states (Esping-Andersen, 1990; Orloff, 1996; Teitzer et al., 2014): We observe that the financial situation improves with increasing age, and for highly educated individuals. However, it deteriorates for individuals with migrant background, in flexible employment relationships–such as part-time jobs–, as well for unemployed or economically inactive individuals.
Against this background and in line with prior research (Hipp and Bünning, 2021; Li et al., 2022), our findings affirm our first and second assumption. We observe that individuals living in single-parent households have detrimental future perspectives and are worse off with respect to their economic position compared to individuals living in other household types. Finally, in Model 3 (Table 2, column 3) we account for the effect of income on subjective risk perception, which shows a negative association. This means, that individuals with a lower household income estimate a higher probability of a worsened living standards due to the COVID-19 crisis. Looking at the bigger picture, our findings suggest that having a low income, which might in turn be related to unstable and precarious labour market situations, is likely to reduce the probability of positive feelings, including exerting environmental control, and in projecting oneself into a brighter future (Cummins, 2000, p. 138).
5.2 How does income affect the subjective risk perception of individuals living in single-parent households during the pandemic?
In Figure 2 we present the results of our analyses displaying the link of household type, risk perception and income. Here, we are interested in whether or not individuals living in single-parent households evaluate their situation during the pandemic more negatively because they are single-parents, or rather because they are financially worse off. Here, we used path modelling in order to account for the relationship between the subjective indicator of risk perception, the objective indicator of earnings and household type. In the upper part of Figure 2, we again display that couples without kids and couple-parent households assess their situation during the pandemic less negatively compared to single-parent households and single households. In the next step, we include income into the relationship between household type and risk perception as a mediating variable; our findings reveal that the direct effect of household type on risk perception is in part not statistically significant anymore. Put differently, the direct effect of household type on subjective risk perception partly disappears (Table 3).
Table 3. Path model (unstandardized coefficients).
In more detail, path modelling reveals statistically significant differences in the average income of individuals living in different household types–singles, couples with children and especially couple-parent households earn more compared to single-parent households. Furthermore, the significant indirect effects of household type on risk perception via income indicate that income is an important mediator for a family’s evaluation of their future standard of living (Hypothesis 3a).
With respect to our last hypothesis (3b), we also observe a statistically significant moderating effect of income on the risk perception by household type. Individuals living in childless households with lower income show significantly less negative risk perceptions than households with children (Figure 3 and Table A2 in Supplementary material). Moreover, while income does not play a role in the risk perception of single and couple households without children, for couple households with children as well as individuals living in single-parent households a lower income increases their risk perception. This increase in risk perception is significantly stronger for individuals living in single-parent households than for individuals living in households without children. We find no significant differences, however, between individuals living in single-parent households and individuals living in couple-parent households. The interaction of household type and income reveals that income moderates the perceptions of those who live with children, regardless of whether they have a partner or not. Thus, we can see that in fact households with children that do have a high income also do not suffer from a more negative risk perception in comparison to other household types (Hypothesis 3b, only partially confirmed – no differences between single and couples parents).14
Against this background, and in line with other research, our findings show that a significant part of the variance of one’s subjective assessment can be directly explained by economic conditions (e.g., income or wealth) (Esterlin, 2001; Lever, 2004; Burchell, 2011; Clark et al., 2013; Van der Meer, 2014). Thus, we conclude that the effect of household type on risk perception is mediated and moderated via the household income. All in all, we conclude that single-parent households are not worse off per se during COVID-19 pandemic. However, based on the SOEP-CoV data for 2020 for Germany, our results reveal that the risk perception of individuals living in single-parent households is worse on average because of their financially vulnerability.
6 Discussion
The COVID-19 pandemic had severe consequences on the lives of millions of individuals around the globe. However, some have been hit harder than others: For sure, individuals living in single-parent households account for a vulnerable group, especially and heavily at risk of facing financial distress and emotional hardship. In the paper at hand, we put the situation of individuals living in single-parent households during the pandemic in Germany at centre-stage. By focusing on the relationship of subjective and objective measures of financial and emotional struggles we show how they are intertwined. We started by displaying a historical perspective on the economic situation of individuals living in single-parents households, whilst comparing them to individuals living in other household types. This descriptive time series highlights the consistently exposed position of individuals living in single-parent households over two decades and points toward a recent widening of pre-existing social trenches among different societal groups. After setting the scene for single-parent households’ circumstances of life in the years before the crisis began, we applied a three-step analytical procedure in order to disentangle the relationship of household type, risk perception and incomes during the pandemic.
Based on the SOEP-CoV data for 2020 for Germany, our findings once again underline the strong financial vulnerability of individuals living in single-parent households during the COVID-19 pandemic and highlight that they are most vulnerable to worsen their perception of future living standards. Although this first set of findings might not come as a surprise, it is nonetheless a relevant finding for evidence-based social policy decisions–especially if we consider that around 6% of the households are single-parent households in Germany. Thus, our study is in line with other research, pointing toward the unequal effects of the pandemic, particularly affecting those who were already in precarious situations (Wachtler et al., 2020; Kuhn et al., 2021). We add to the body of literature addressing the pronounced increase in inequality and growing economic risks for individuals living in different household types (Huebener et al., 2021). In this respect, we specifically refer to Schäfermayer et al. (2022), who likewise showed that single parents worried more than couple-parents in partnerships largely due to their bleak socio-economic conditions. Furthermore, our second set of findings is new and contributes to the current literature by clarifying the entangled relationship between household type, objective indicators (such as material goods, income or wealth) and subjective indicators (such as risk perception, well-being or happiness) (Cummins, 2000; Lever, 2004; Clark et al., 2013; Cho, 2018). We used path and interaction models to show that earnings mediate and moderate the effect of household type on economic risk perception during the COVID-19 crisis. These findings indicate that individuals living in single-parent households do not perceive higher risks of worsening living standards due to their household situation per se, but rather because they are worse off in their economic situation compared to individuals living in other household types. In our view, this is a relevant finding. Although individuals living in single-parent households are in need of more support and are worse off during the pandemic in Germany, our results could nevertheless serve as tiny ray of hope. Governmental support programs are not set out to change the household structure. However, they are very well able and all the more urged to improve the currently poor income situation of this vulnerable group.
Finally, our study is limited since we were not able to consider the full spectrum of objective and subjective risks faced by individuals living in single-parent households in the past 2 years. Next to the individual assessment of worsening living standards in the present/future and income, there are plenty of other indicators which can be used to describe the situation during the pandemic. Furthermore, we did not analyse the evaluation of present situation of single-parent households, but rather their prospects. Finally, longitudinal analysis is needed to further disentangle the layered relationship of subjective and objective indicators and to uncover the causal effect of the pandemic on the different household types.
Data availability statement
The data analyzed in this study is subject to the following licenses/restrictions: You have to purchase the data. Requests to access these datasets should be directed to https://www.diw.de/en.
Author contributions
BL: Conceptualization, Methodology, Visualization, Writing – original draft, Writing – review & editing. N-SF: Conceptualization, Writing – original draft, Writing – review & editing, Methodology. CSM: Conceptualization, Formal analysis, Methodology, Writing – original draft, Writing - review & editing. RV: Supervision, Writing – original draft.
Funding
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project number 491466077.
Acknowledgments
Sophia Wyatt has proofread the manuscript. We also thank the reviewers and the editors for a number of very helpful comments and their productive critique.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The reviewer [BR] declared a previous collaboration with the authors [N-SF and RV] to the handling editor.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fsoc.2023.1265302/full#supplementary-material
Footnotes
1. ^We use the term single-parent households to refer to individuals living in households, declaring themselves as single parents. This includes single parents (mothers or fathers) who raise one or more children living in the same household, while not living in the same household with another adult (e.g., their partner, grandparents), or (currently) not having a partner. By using this definition, we do not differentiate between parents who were single when they had their child and those who got separated afterwards or were bereaved (Nieuwenhuis and Maldonado, 2019). By comparison, we refer to couple-parent households to reflect that both adults are living in the same household and are parenting one or more children also living in this household. Singles per definition do not have children and do not share their living environment with another adult. Finally, we define couples without children as two adults living in the same household.
2. ^In 2020, compared to the population average (poverty rate: 16 percent) and in relation to individuals living in couple-parent households with children (poverty rate: 12 percent) single-parent households share the highest poverty rates (31 percent), which accounts for an increase of almost seven percentage points in two decades.
3. ^In Germany, inflation rates were mostly low (max 2% annually) until 2021 (Statistisches Bundesamt, 2021). Since for our empirical analysis we are analysing data until 2020, inflation should not affect the quality of our results.
4. ^Although referring to desirable risks which individuals aspire to reach, rather than relating to the danger of unwanted events, is per definition plausible as well (Machlis and Rosa, 1990), but not subject to this paper.
5. ^The sub-survey was dedicated to monitor the pandemic situation. A total of 12,000 households were asked to participate in the SOEP-CoV study. The first wave of the survey started on April 1, 2020, and ended on June 28, 2020. Individuals from a total of 6,694 households were surveyed.
6. ^Compared to the original sample, we excluded about 761 respondents not living in one of the four household types we are interested in and 32 respondents because of their age. In addition, 1,275 respondents do have missing values for one of the other variables.
7. ^We use single-parent households as reference category to compare this group with all other household types in the regression models.
8. ^For sensitivity analyses, we additionally calculated two models with (a) the metric variable assessing the likelihood that the living standard will diminish due to the pandemic excluding those with already lower living standard; and (b) the binary variable that the living standard already diminished or not. For (a) the results show the very same patterns of mediation and moderation like the models presented in section 5. For (b) the patterns of mediation are still the same, however, the interaction effect of household type and income is not significant for this model.
9. ^The equivalised disposable income is defined as the total disposable income of a household, divided by the equivalised number of household members; household members are weighting each according to their age, using the modified OECD equivalence scale (Eurostat, 2021). In order to reflect differences in a household’s size and composition, the total disposable household income is divided by the number of ‘equivalent’ individuals (1.0 to the first adult; 0.5 to the second and each subsequent person aged 14 and over; 0.3 to each child aged under 14) (Eurostat, 2021).
10. ^In order to substantiate our findings, we calculated a number of sensitivity analyses. For the models in Table 2, we additionally calculated linear regressions without control variables, which are presented in the supplementary material Table A1.
11. ^Being born in another country than Germany indicates, by definition, a direct migration background, while respondents born in Germany may have either no or an indirect migration background. Respondents whose parents had no migration background were assigned the code “no migration background.”
12. ^For sensitivity analyses, we additionally calculated our models with variables including the age of the children (e.g., “kids in school” and “kids in preschool”) and employment security, accounting for (1) more time-consuming parenting work and possibly more worries about the development of their children during the pandemic and (2) occupation and type of contract. The results show that parents were in general more worried and being in a partnership does not seem to moderate this risk perception. With respect to the age of children, there does seem to be an independent effect of having young children (beneath age 6) on making the risk perception of individuals more negative. When we add these variables to the models, they explain part of the differences between household types. However, we did not include the age of the children into our final models since we already account for children in the definition of the household types. When we additionally consider employment security the main results remain stable (see Tables A3 and A4 in the Supplementary material).
13. ^Since the dependent variable measures worsening living standards, a negative sign translates into a less negative assessment.
14. ^To substantiate our findings, we calculated a number of sensitivity analyses. We included individual health status and source of information on COVID-19 (e.g., watching the news, reading newspapers) into the path model in order to evaluate, whether for example high stress levels of individuals living in single-parent households or a poor health status is influencing the relationship between household type, income and risk perception. These sensitivity analyses reveal that neither do individuals living in single-parent households show a worse health status, nor is the individual health status related to the risk perception. We further find that individuals living in single-parent households use different information sources than individuals living in other household types. However, even if we include the source of information into our model the initial relationship between household type, income and risk perception does not change.
References
Aichholzer, J. (2017). Einführung in lineare Strukturgleichungsmodelle mit Stata. Wiesbaden: VS Verlag für Sozialwissenschaften.
Bariola, N., and Collins, C. (2021). The gendered politics of pandemic relief: labor and family policies in Denmark, Germany, and the United States during COVID-19. Am. Behav. Sci. 65, 1671–1697. doi: 10.1177/00027642211003140
Baron, R., and Kenny, D. (1986). The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J. Pers. Soc. Psychol. 51, 1173–1182. doi: 10.1037/0022-3514.51.6.1173
Blundell, R., Costa Dias, M., Cribb, J., Joyce, R., Waters, T., Wernham, T., et al. (2022). Inequality and the COVID-19 crisis in the United Kingdom. Ann. Rev. Econ. 14, 607–636. doi: 10.1146/annurev-economics-051520-030252
BMAS. (2017). Lebenslagen in Deutschland. Der fünfte Armuts- und Reichtumsbericht der Bundesregierung. Berlin BMAS.
BMFSFJ. (2021a). Allein- oder getrennterziehen – Lebenssituation, Übergänge und Herausforderungen. Berlin BMFSFJ.
Boehle, M. (2019). Armut von Familien im sozialen Wandel. Verbreitung, Struktur, Erklärungen. Wiesbaden. Springer VS.
Branowska-Rataj, A., Matysiak, A., and Mynarska, M. (2014). Does lone motherhood decrease women's happiness? Evidence from qualitative and quantitative research. J. Happiness Stud. 15, 1457–1477. doi: 10.1007/s10902-013-9486-z
Broersma, M. (2022). Do novel routines stick after the pandemic? The formation of new habits during COVID-19. J. Stud. 23, 551–568. doi: 10.1080/1461670X.2021.1932561
Brückner, H. (2004). Gender inequality in the life course: social change and stability in West Germany 1975–1995. Hawthorne, NY Aldine de Gruyter.
Burchell, B. (2011). A temporal comparison of the effects of unemployment and job insecurity on wellbeing. Sociol. Res. Online 16, 66–78. doi: 10.5153/sro.2277
Burns, W., Peters, E., and Slovic, P. (2012). Risk perception and the economic crisis: a longitudinal study of the trajectory of perceived risk. Risk Anal. 32, 659–677. doi: 10.1111/j.1539-6924.2011.01733.x
Butterwege, C. (2021). Das neuartige Virus trifft auf die alten Verteilungsmechanismen: Warum die COVID-19-Pandemie zu mehr sozialer Ungleichheit führt. Wirtschaftsdienst 101, 11–14. doi: 10.1007/s10273-021-2817-5
Calvano, C., Engelke, L., Di Bella, J., Kindermann, J., Renneberg, B., and Winter, M. S. (2022). Families in the COVID-19 pandemic: parental stress, parental mental health and the occurrence of adverse childhood experiences - results of a representative survey in Germany. Eur. Child Adolesc. Psychiatry 31, 1–13. doi: 10.1007/s00787-021-01739-0
Carotta, C., Lavender-Stott, E., Garcia, A., and Liu, H.-L. (2022). Relationship status and well-being in the context of the COVID-19 pandemic. J. Fam. Issues 44, 2527–2546. doi: 10.1177/0192513X221105242
Casey, T., and Maldonado, L. (2012). Worst off – single-parent families in the United States. New York Legal Momentum.
Cho, E. Y.-N. (2018). Links between poverty and children's subjective wellbeing: examining the mediating and moderating role of relationships. Child Ind. Res. 11, 585–607. doi: 10.1007/s12187-017-9453-z
Clark, A., D'Abrosio, C., and Ghislandi, S. (2013). Poverty and well-being: panel evidence from Germany. Roma: ECINEQ.
Cook, R., and Grimshaw, D. (2021). A gendered lens on COVID-19 employment and social policies in Europe. Eur. Soc. 23, S215–S227. doi: 10.1080/14616696.2020.1822538
Cummins, R. (2000). Personal income and subjective well-being: a review. J. Happoness Stud. 1, 133–158. doi: 10.1023/A:1010079728426
Diener, E., and Biswas-Diener, R. (2002). Will money increase subjective well-being? Soc. Indic. Res. 57, 119–169. doi: 10.1023/A:1014411319119
Dromey, J., Dewar, L., and Finnegan, J. (2020). Tackling single parents poverty after coronavirus. Leicester: Learning and Work Institute.
Eibach, R., and Moch, S. (2011). The vigilant parent: parental role salience affects parents' risk perceptions, risk-aversion, and trust in strangers. J. Exp. Soc. Psychol. 47, 694–697. doi: 10.1016/j.jesp.2010.12.009
Entringer, T. M., and Kröger, H. (2021). Weiterhin einsam und wenig zurfrieden: Die COVID-19-Pandemie wirkt sich im zweiten Lockdown stärker auf das Wohlbefinden aus. DIW aktuell.
Esterlin, R. (2001). Income and happiness: toward a unified theory. Econ. J. 111, 465–484. doi: 10.1111/1468-0297.00646
Ettman, C., Abdalla, S., Cohen, G., Sampson, L., Vivier, P., and Galea, S. (2021). Low assets and financial stressors associated with higher depression during COVID-19 in a nationally representative sample of US adults. J. Epidemiol. Community Health 75, 501–508. doi: 10.1136/jech-2020-215213
Eurostat (2021). Glossary: Equivalised income. Available at: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:Equivalised_income (Accessed June 09, 2023).
Fancourt, D., Steptoe, A., and Bu, F. (2020). Trajectories of anxiety and depressive symptoms during enforces isolation due to COVID-19: longitudinal analyses of 36,520 adults in England. Lancet Psychiatry 8, 141–149. doi: 10.1016/S2215-0366(20)30482-X
Fritsch, N.-S. (2014). Warum Wissenschaftlerinnen die Universität verlassen: eine biografische Fallanalyse zu Ausstiegsgründen aus dem österreichischen Universitätssystem. SWS-Rundsch. 54, 159–180.
Fritsch, N.-S., Liedl, B., and Paulinger, G. (2022). Horizontal and vertical labour market movements in Austria: do occupational transitions take women across gendered lines? Curr. Sociol. 70, 720–741. doi: 10.1177/0011392120969767
Fritsch, N.-S., Riederer, B., and Seewann, L. (2023). Living alone in the city: differentials in subjective well-being among single households 1995–2018. Appl. Res. Qual. Life 18, 2065–2087. doi: 10.1007/s11482-023-10177-w
Fritsch, N.-S., and Verwiebe, R. (2018). “Labor market flexibilization and in-work poverty: a comparative analysis of Germany, Austria and Switzerland” in Handbook of in-work poverty. eds. H. Lohmann and I. Marx (Cheltenham: Edward Elgar Publishing), 297–311.
Fuentes, N., and Rojas, M. (2001). Economic theory and subjective well-being. Soc. Indic. Res. 53, 289–314. doi: 10.1023/A:1007189429153
Garrido, R., Paloma, V., Benitez, I., Skovdal, M., Verelst, A., and Derluyn, I. (2023). Impact of COVID-19 pandemic on the psychological well-being of migrants and refugees settled in Spain. Ethn. Health 28, 257–280. doi: 10.1080/13557858.2022.2035692
Gornick, J., and Meyers, M. (2003). Families that work: policies for reconciling parenthoof and employment Russel Sage Foundation.
Herbst, C. (2012). Footloose and fancy free? Two decades of single mothers' subjective well-being. Soc. Serv. Rev. 86, 189–222. doi: 10.1086/666390
Hertz, R., Mattes, J., and Shook, A. (2021). When paid work invades the family: single mothers in the COVID-19 pandemic. J. Fam. Issues 42, 2019–2045. doi: 10.1177/0192513X20961420
Hiekel, N., and Kühn, M. (2022). Mental health before and during the COVID-19 pandemic: the role of partnership and parenthood status in growing disparities between types of families. J. Health Soc. Behav. 63, 594–609. doi: 10.1177/00221465221109195
Hinrichs, K. (2010). “A social insurance state withers away. Welfare state reforms in Germany - or: attempts to turn around in a cul-de-sac” in A long goodbye to Bismarck? The politics of welfare reform in continental Europe. ed. B. Palier (Amsterdam: Amsterdam University Press), 45–72.
Hipp, L., and Bünning, M. (2021). Parenthood as a driver of increased gender inequality during COVID-19? Exploratory evidence from Germany. Eur. Societ. 23, S658–S673. doi: 10.1080/14616696.2020.1833229
Huebener, M., Waights, S., Spiess, K., Siegel, N., and Wagner, G. (2021). Parental well-being in times of COVID-19 in Germany. Rev. Econ. Househ. 19, 91–122. doi: 10.1007/s11150-020-09529-4
Ifcher, J., and Zarghamee, H. (2014). The happiness of single mothers: evidence from the general social survey. J. Happiness Stud. 15, 1219–1238. doi: 10.1007/s10902-013-9472-5
Kivi, M., Hansson, I., and Bjälkebring, P. (2021). Up and about: older adults' well-being during the COVID-19 pandemic in a Swedish longitudinal study. J. Gerontol. B 76, e4–e9. doi: 10.1093/geronb/gbaa084
Kontoangelos, K., Economou, M., and Papageorgiou, C. (2020). Mental health effects of COVID-19 pandemia: a review of clinical and psychological traits. Psychiatry Investig. 17, 491–505. doi: 10.30773/pi.2020.0161
Kraus, T. (2014). Wege aus der Armut für Alleinerziehende. Eine Analyse der Partner- und Arbeitsmarktchancen. Springer VS. Wiesbaden.
Kreyenfeld, M., and Zinn, S. (2021). Coronavirus and care: how the coronavirus crisis affected fathers' involvement in Germany. Demogr. Res. 44, 99–124. doi: 10.4054/DemRes.2021.44.4
Kuhn, U., Klaas, H., Antal, E., Dasoki, N., Lebert, F., Lipps, O., et al. (2021). Who is most affected by the Corona crisis? An analysis of changes in stress and well-being in Switzerland. Eur. Soc. 23, S942–S956. doi: 10.1080/14616696.2020.1839671
Lever, P. J. (2004). Poverty and subjective well-being in Mexico. Soic. Indicat. Res. 68, 1–33. doi: 10.1023/B:SOCI.0000025567.04153.46
Lewis, J. (1992). Gender and the development of welfare regimes. J. Eur. Soc. Policy 2, 159–173. doi: 10.1177/095892879200200301
Lidskog, R., and Sundqvist, G. (2013). “Sociology of risk” in Essentials of risk theory. eds. S. Roeser, R. Hillerbrand, P. Sandin, and M. Peterson (New York: Springer), 75–105.
Li, J., Bünning, M., Kaier, T., and Hipp, L. (2022). Who suffered most? Parental stress and mental health during the COVID-19 pandemic in Germany. J. Fam. Res. 34, 281–309. doi: 10.20377/jfr-704
Lohmann, H., and Zagel, H. (2016). Family policy in comparative perspective: the concepts and measurement of familization and defamilization. J. Eur. Soc. Policy 26, 48–65. doi: 10.1177/0958928715621712
Machlis, G., and Rosa, E. (1990). Desired risk: broadening the social amplification of risk framework. Risk Anal. 10, 161–168. doi: 10.1111/j.1539-6924.1990.tb01030.x
Maldonado, L., and Nieuwenhuis, R. (2015). Family policies and single parent poverty in 18 OECD countries, 1978–2008. Community Work Fam. 18, 395–415. doi: 10.1080/13668803.2015.1080661
Möhring, K., Naumann, E., Reifenscheid, M., Wenz, A., Rettig, T., Krieger, U., et al. (2021). The COVID-19 pandemic and subjective well-being: longitudinal evidence on satisfaction with work and family. Eur. Soc. 23, S601–S617. doi: 10.1080/14616696.2020.1833066
Nelson, K., Kushlev, K., and Lyubomirsky, S. (2013). The pains and pleasures of parenting: when, why, and how is parenthood associated with more or less well-being? Psychol. Bull. 140, 846–895. doi: 10.1037/a0035444
Nieuwenhuis, R., and Maldonado, L. (Eds.) (2019). The triple bind of single-parent families. Bristol Policy Press.
Nieuwenhuis, R., and Maldonado, L. (2018). “Single-parent families and in-work poverty” in Handbook on in-work poverty. eds. H. Lohmann and I. Marx (Cheltenham: Edward Elgar Publishing Limited), 171–192.
O'Reilly, A. (2020). Trying to function in the unfunctionable: mothers and COVID-19. J. Motherh. Initiat. 11, 7–24.
Orloff, A. (1996). Gender in the welfare state. Annu. Rev. Sociol. 22, 51–78. doi: 10.1146/annurev.soc.22.1.51
Pollmann-Schult, M. (2018). Single mother and life satisfaction in comparative perspective: do institutional and cultural contexts explain the life satisfaction penalty for single mothers? J. Fam. Issues 39, 2061–2084. doi: 10.1177/0192513X17741178
Prime, H., Wade, M., and Browne, D. (2020). Risk and resilience in family well-being during the COVID-19 pandemic. Am. Psychol. 75, 631–643. doi: 10.1037/amp0000660
Racine, N., Hetherington, E., McArthur, B. A., McDonald, S., Edwards, S., Tough, S., et al. (2021). Maternal depressive and anxiety symptoms before and during the COVID-19 pandemic in Canada: a longitudinal analysis. Lancet Psychiatry 8, 405–415. doi: 10.1016/S2215-0366(21)00074-2
Reichelt, M., Makovi, M., and Sargsyan, A. (2020). The impact of COVID-19 on gender inequality in the labor market and gender-role attitudes. Eur. Soc. 23, 228–245. doi: 10.1080/14616696.2020.1823010
Riederer, B., Fritsch, N.-S., and Seewann, L. (2021). Singles in the city: happily ever after? Vienna Yearb. Populat. Res. 19, 319–354. doi: 10.1553/populationyearbook2021.res3.2
Riederer, B., Verwiebe, R., and Seewann, L. (2019). On changing social stratification in Vienna: Why are migrants declining from the middle of society? Population, Space and Place 25. doi: 10.1002/psp.2215
Romero-Gonzalez, B., Lozano-Ruiz, A., Puertas-Gonzalez, J., Marino-Narvaez, C., and Peralta-Ramirez, M. I. (2022). Symptoms of anxiety in mothers during the COVID-19 lockdown: a structural equation model approach. J. Fam. Issues 44, 1756–1772. doi: 10.1177/0192513X211064861
Schäfermayer, E., Bremerich, L., Gormanns, Y., and Agache, A. (2022). “Familienalltag in Zeiten von Corona: Zur Betreuung von Kindern und Stress von Familien” in Kinder und Jugendliche in der COVID-19-Pandemie. Perspektiven aus Praxis und Wissenschaft. eds. A. Oommen-Halbach, S. Weyers, and M. Griemmert (Berlin, Boston: Düsseldorf University Press), 1–16.
Schneider, U., Schröder, W., and Stilling, G. (2022). Zwischen Pandemie und Inflation: Paritätischer Armutsbericht 2022. Berlin Der Paritätische Gesamtverband.
Schulten, T., and Müller, T. (2020). Kurzarbeitergeld in der Corona-Krise: Aktuelle Regelungen in Deutschland und Europa. WSI Policy Brief No. 38
Seeleib-Kaiser, M. (2016). The end of the conservative German welfare state model. Soc. Pol. Administr. 50, 219–240. doi: 10.1111/spol.12212
Soiné, H., Kriegel, L., and Dollmann, J. (2021). The impact of the COVID-19 pandemic on risk perceptions: differences between ethnic groups in Germany. Eur. Soc. 23, S289–S306. doi: 10.1080/14616696.2020.1825766
Statistisches Bundesamt. (2021). Auswirkungen der Coronapandemie. Wiesbaden, Statistisches Bundesamt.
Streek, W. (2009). Re-forming capitalism. Institutional change in the German political economy. Oxford Oxford University Press.
Taylor-Gooby, P., and Zinn, J. (2006). Current directions in risk research: new developments in psychology and sociology. Risk Anal. 26, 397–411. doi: 10.1111/j.1539-6924.2006.00746.x
Teitzer, R., Fritsch, N.-S., and Verwiebe, R. (2014). Arbeitsmarktflexibilisierung und Niedriglohnbeschäftigung: Deutschland und Österreich im Vergleich. WSI-Mitteilungen 67, 257–266. doi: 10.5771/0342-300X-2014-4-257
Tisdell, C. (2020). Economic, social and political issues raised by the COVID-19 pandemic. Econ. Anal. Pol. 68, 17–28. doi: 10.1016/j.eap.2020.08.002
Trappe, H., Pollmann-Schult, M., and Schmitt, C. (2015). The rise and decline of the male breadwinner model: institutional underpinnings and future expectations. Eur. Sociol. Rev. 31, 230–242. doi: 10.1093/esr/jcv015
Van der Meer, P. (2014). Gender, unemployment and subjective well-being: why being unemployed is worse for men than for women. Soc. Indic. Res. 115, 23–44. doi: 10.1007/s11205-012-0207-5
Verwiebe, R., Fritsch, N.-S., and Liedl, B. (2019). “Der Arbeitsmarkt in Österreich: Auswirkungen des Strukturwandels für Einheimische im Vergleich mit Migrantinnen und Migranten” in Die Lebenssituation von Migrantinnen und Migranten in Österreich. eds. W. Aschauer, M. Beham-Rabanser, O. Bodi-Fernandez, M. Haller, and J. Muckenhuber (Wiesbaden: Springer), 113–153.
Verwiebe, R., and Fritsch, N.-S. (2011). “Working Poor in Österreich. Verliert das Normalarbeitsverhältnis seinen armutsvermeidenden Charakter?” in Armut in Österreich. ed. R. Verwiebe (Wien: Braumüller), 149–167.
Verwiebe, R., Troger, T., Wiesböck, L., Teitzer, R., and Fritsch, N.-S. (2013). GINI country report: growing inequalities and their impacts in Austria. Amsterdam Amsterdam Institute for Advanced Labour Studies.
Verwiebe, R., Troger, T., Wiesböck, L., Teitzer, R., and Fritsch, N.-S. (2014). “Austria - the bastion of calm? stability and change in inequalities in times of welfare state reforms and employment flexibilization,” in Changing inequalities and societal impacts in rich countries: thirty countries’ experiences. eds. B. Nolan, W. Salverda, D. Checchi, I. Marx, A. McKnight, and I. G. Toth, et al. (Oxford: Oxford University Press), 71–95.
Wachtler, B., Michalski, N., Nowossadeck, E., Dierecke, M., Wahrendorf, M., Santos-Hövener, C., et al. (2020). Socioeconomic inequalities in the risks of SARS-COV-2 infection – first results from analysis of surveillance data from Germany. J. Health Monit. 5, 18–29. doi: 10.25646/7057
Wanberg, C., Csillag, B., Douglass, R., Zhou, L., and Pollard, M. (2020). Socioeconomic status and well-being during COVID-19: a resource-based examination. J. Appl. Psychol. 105, 1382–1396. doi: 10.1037/apl0000831
Wu, C.-F., and Eamon, K. M. (2011). Patterns and correlates of involuntary unemployment and underemployment in single-mother families. Child Youth Serv. Rev. 33, 820–828. doi: 10.1016/j.childyouth.2010.12.003
Keywords: individuals living in single-parent households, household types, COVID-19 pandemic, subjective risk perception, objective labour market outcome, Germany
Citation: Liedl B, Fritsch N-S, Mejia CS and Verwiebe R (2023) Risk perceptions of individuals living in single-parent households during the COVID-19 crisis: examining the mediating and moderating role of income. Front. Sociol. 8:1265302. doi: 10.3389/fsoc.2023.1265302
Edited by:
Saara Koikkalainen, University of Eastern Finland, FinlandReviewed by:
Bernhard Riederer, University of Vienna, AustriaAnja-Kristin Abendroth, Bielefeld University, Germany
Copyright © 2023 Liedl, Fritsch, Mejia and Verwiebe. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Nina-Sophie Fritsch, bmluYS1zb3BoaWUuZnJpdHNjaEB3dS5hYy5hdA==