Why Do Lone Mothers Fare Worse than Lone Fathers? Lone Parenthood and Welfare Benefit Receipt in Germany Why Do Lone Mothers Fare Worse than Lone Fathers? Lone Parenthood and Welfare Benefit Receipt in Germany Esther Geisler, Michaela Kreyenfeld Abstract: This article uses data from the German microcensuses of 2007 and 2012 to examine gender differences in welfare reliance among lone parents. Binary lo- gistic regression was employed as the method of analysis. We show that the risk of welfare benefit receipt is lower among lone fathers than lone mothers. We also find that these gender differences can be partially explained by the socio-economic characteristics of lone fathers; compared to lone mothers, lone fathers are, on aver- age, better educated and more likely to be living with older children. Gender differ- ences decreased over time among parents who have never married, but remained constant among divorced parents. We present a discussion of our findings in light of recent policy reforms, in particular the reform of the German Maintenance Law of 2008, which curbed the ability of a divorced parent to collect support from an ex-spouse. Keywords: Employment · Lone parents · Single parents · Social assistance · Welfare 1 Introduction In recent years, divorce and separation rates have increased or stalled at high levels. As a result of this trend, the share of lone parents has increased in most European countries. A lone parent is defined as a mother or a father who co-resides with her or his minor child or children, but does not have a partner who lives in the same household unit. Although lone fathers are included in this definition, public policy has focused primarily on lone mothers, who constitute the overwhelming majority of lone parents, and who are at an elevated risk of poverty and welfare depend- ence (Chzhen/Bradshaw 2012; Härkönen 2017; Lewis 1997; Maldonado/Nieuwen- huis 2015). While significant scholarly and public attention has been devoted to lone motherhood, relatively few studies have looked at the economic well-being of lone fathers. Comparative Population Studies Vol. 44 (2019): 61-84 (Date of release: 16.07.2019) Federal Institute for Population Research 2019 URL: www.comparativepopulationstudies.de DOI: 10.12765/CPoS-2019-09en URN: urn:nbn:de:bib-cpos-2019-09en9 • Esther Geisler, Michaela Kreyenfeld62 Most of the knowledge we have about lone fatherhood comes from broad over- view studies on lone parenthood, most of which include only short subsections on the prevalence and characteristics of lone fathers. For most countries, it has been reported that the prevalence of lone fatherhood has increased substantially in recent decades (Bures 2009; Coles 2015). It has also been repeatedly shown that compared to lone mothers, lone fathers have higher incomes and are at a lower risk of poverty and welfare dependence (Chzhen/Bradshaw 2012; Kramer et al. 2016; Maldonado/Nieuwenhuis 2015). The differences in the poverty risks faced by lone fathers and lone mothers have largely been attributed to socio-economic differ- ences. Compared to lone mothers, lone fathers are, on average, better educated, more likely to be in a well-paid occupation, and more likely to be living with children who are older and fewer in number. Cross-national studies have shown that Ger- many is among the countries where lone parents face a very elevated risk of poverty (Chzhen/Bradshaw 2012: 497). In line with findings for other countries, it has also been shown that in Germany, lone fathers differ in their socio-demography from lone mothers (Statistisches Bundesamt 2018) and that they are at lower risk of pov- erty and of receiving welfare benefits than lone mothers (Andreß 2001; Hammer 2002; Matzner 2007; Schneider et al. 2001). However, these studies did not answer the question of whether these patterns have changed over time, or of whether these changes can be attributed to social policy reforms that have altered the economic well-being of lone parents in Germany. This article seeks to close parts of this research gap by analysing large-scale survey data from the German microcensus that compare behaviour in the years 2007 and 2012. We describe the socio-economic correlates of lone fatherhood and how they compare to the characteristics of lone mothers. In particular, we explore the economic foundations of lone parenthood by investigating the extent to which lone parents receive social welfare, and how this level has changed between 2007 and 2012. We have picked these two points in time because 2007 is the first year in which the microcensus contained unambiguous measures of welfare reliance. The year 2012 was selected as the most recent year for which a Scientific Use File of the microcensus was available when this study was conducted. The advantage of focusing on the more recent time period is that our analysis covers the period after the implementation of major labour market reforms (the “Hartz reforms”). As these reforms made significant changes to welfare eligibility, an investigation of this issue that covered a longer period of time would have been difficult to conduct. Another advantage of focusing on 2007 and 2012 is that these years represent points in time immediately before and after the implementation of the reform of the spousal maintenance law in 2008. Although we are unable to perform a thorough evaluation of this policy change, we can provide some descriptive insights into the welfare benefit receipt of divorced women with children, who represent the group most af- fected by this legal change. A note on terminology: In line with the conventional definition, we define a lone parent as a woman or a man who lives with his or her minor children in the same household, but does not have a partner who also lives in the household. A lone par- ent may be single (never-married), divorced, or widowed. Other household mem- Why Do Lone Mothers Fare Worse than Lone Fathers? • 63 bers (siblings, parents, etc.) are disregarded in the definition of lone parenthood. Thus, a lone parent may live with her or his own parents in the same household unit. However, unmarried parents in cohabiting unions are not considered lone parents and are not part of this investigation. 2 Theoretical considerations 2.1 Perspectives on lone parenthood It is conventional wisdom of social policy research that the modern welfare state has evolved around securing the risks faced by the married male breadwinner fam- ily (Esping-Andersen 1999; Lewis 1992). The assumption underlying the conserva- tive welfare regime is the continuous full-time employment of the male breadwinner who is insured against the risks associated with unemployment, sickness, disability, and old age. Non-working women obtain derived rights through marriage in the public retirement and health care system. The risk to the family of the death of the male breadwinner is reduced through the availability of survivor pensions. The eco- nomic consequences of divorce are cushioned by means of spousal maintenance, albeit to varying degrees in different countries and time periods. The people who fall through the cracks of this regime tend to be single women with children. Their care duties mean that they are unable to participate fully in the labour market, but they also lack derived rights to benefits through a legal bond with a male bread- winner. As a result, women in this regime are at a high risk of poverty and welfare dependence. Scholars of comparative welfare state research have thus argued that the public policy treatment of single mothers is a “bellwether” for the treatment of women in general, as such policies determine whether women are able to form au- tonomous households, or whether the lack of a married partner forces women into poverty and welfare dependence (Christopher 2002; Duncan/Edwards 1997; Orloff 1993; Zagel 2018). A second and contrary view of lone parenthood has focused on how social poli- cies incentivise the employment of lone mothers (Blundell et al. 2016; Ermisch/ Wright 1991; Jenkins 1992). According to this perspective, the social transfer system discourages lone mothers from entering the labour market. Because social benefits are means-tested, and lone mothers do not have a partner whose income is as- sessed in the calculation of benefits, they are especially likely to be eligible for trans- fer payments. Concerns about the excessive use of social welfare by lone mothers have been expressed in the US and the UK in particular, as in these countries the employment rates of lone mothers tend to be substantially lower than those of part- nered mothers (Zagel 2014). In line with this view, the implementation of welfare re- forms such as the Working Tax Credit in the UK and the Earned Income Tax Credit in the US were motivated by the belief that changes in the incentive structures would boost the employment rates of lone mothers and reduce their reliance on social welfare (Eissa et al. 2008; Rake 2001; Skevik 2006). • Esther Geisler, Michaela Kreyenfeld64 Researchers who have examined the poverty risks and the welfare reliance of lone parents have often included in their investigations not only parents who have never married but also divorced parents (e.g., Jenkins 1992; Chzhen/Bradshaw 2012). Some studies have focused on divorcees (e.g., Andreß/Bröckel 2007; Uunk 2004), while others have drawn attention to the poverty risks of never-married par- ents (e.g., McLanahan 2009). The overwhelming majority of these studies have examined mothers. In our study, we include both lone mothers and lone fathers. Moreover, we pay special attention to the differences between unmarried, widowed and divorced parents. It seems important to distinguish lone parents by their marital status, because of the distinct treatment of the different groups under German leg- islation. Under a conservative welfare state regime, social policies tend to provide a buffer against some of the adverse consequences of widowhood and divorce. For example, Germany was the first country in Europe to install a system of “pension splitting” in 1977. In this system, pension entitlements that are accrued during mar- riage are split equally between the partners after divorce. Furthermore, the “weaker party” is eligible to ex-spousal maintenance. Recent policy reforms have, however, aligned the treatment of never-married and divorced parents. These regulations as well as recent changes in labour market policies are set out in the next step. 2.2 Social policies and lone parents’ poverty risk: the German context German labour market policies underwent radical changes shortly after the turn of the century. Following the enactment of the Hartz IV reform in 2005, the three-tier system of unemployment support – which consisted of social assistance, unem- ployment benefits, and unemployment assistance – was replaced by a two-tier sys- tem (Hassel/Schiller 2010). Previously, the long-term unemployed had been eligible to receive income-related unemployment assistance. For this group, the reform merged the social assistance and unemployment assistance benefit programmes to form the unemployment benefit II (Arbeitslosengeld II or ALG II), which grants only a flat-rate, means-tested benefit. Social assistance (Sozialhilfe) still exists, but is mainly reserved for the disabled. The implementation of the reform was also ac- companied by intensified use of active labour market programmes designed to in- tegrate the long-term unemployed into the labour market. Although the primary re- cipients of ALG II are the unemployed, people who are in work but are earning very low wages are also entitled to supplement their earnings by claiming this benefit. Unemployed ALG II recipients include long-term unemployed people who have run out of their unemployment insurance benefits, people who have accumulated too little recent employment experience to claim unemployment insurance benefits, as well as people who were previously employed only in non-contributory jobs (e.g. Minijobs). In addition, people whose unemployment benefits (ALG I) are too low can claim supplementary ALG II. Currently, ALG II is the main welfare benefit provided by the German government. While individuals can claim a means-tested housing benefit designed to ensure that people have suitable housing, this benefit cannot be claimed in conjunction with ALG II. For the purposes of this study, we classify Why Do Lone Mothers Fare Worse than Lone Fathers? • 65 a person as being a social welfare recipient if he or she is receiving either ALG II, a housing benefit, or social assistance. Germany has commonly been classified as a country with a conservative welfare regime that provides strong incentives for a gendered division of labour within the family. In line with this principle, the German tax system allows married couples to file their taxes jointly. Because the tax schedule is progressive, the “second earner” is taxed heavily under this system, which particularly reduces the work incentives for women with children. However, over the past decade, major reforms of the Ger- man welfare system have been enacted that incentivise the labour market participa- tion of mothers. The most significant of these reforms are the expansion of day care for children under age three since 2005 and the redesign of parental leave benefits in 2007 (Geisler/Kreyenfeld 2018; Zoch/Hondralis 2017). These policy reforms have been widely seen as representing a major shift in the German family system away from conservative principles (Fleckenstein 2011). It has also been well documented that since the enactment of these reforms, full-time employment among mothers and the uptake of leave among fathers have risen steadily (BMFSFJ 2014; Statis- tisches Bundesamt 2017a). While these policy changes have had a major impact, the full-time employment and earnings levels of mothers and fathers have yet to converge. According to recent data from the German Federal Statistical Office, the gross earnings of employed women are more than 20 percent lower than those of their male counterparts. Thus, Germany’s gender pay gap continues to be one of the highest in Europe (Boll/Lagemann 2018). However, there are large regional dif- ferences. Differences in employment and earnings between men and women in eastern Germany are considerably smaller than in western Germany (Statistisches Bundesamt 2017b). It has been shown that divorced women – and especially those who have been absent from the labour market for longer periods of time – tend to face particular difficulties in increasing their labour market participation following union dissolu- tion (Andreß et al. 2006; Bröckel/Andreß 2015). Until recently, German family law followed the principle of status maintenance, whereby spousal maintenance lev- els were calculated based on the couple’s standard of living prior to divorce. The weaker party in the couple was generally not expected to work full-time, and thus received financial support from the ex-partner until the youngest child reached age 16.1 In 2008, the German Maintenance Law was reformed, and the length of time divorcees were entitled to receive maintenance on the grounds of having care ob- ligations for children was drastically cut. While it was previously assumed that the caregiving mother (or theoretically also the father) is unable to work full-time until the youngest child reaches age 16, the revised legislation assumes that – given the wider availability of day care – a parent can return to work after the youngest child has reached age three (Lenze 2014). Very little is known about the share of women 1 It may be that ex-spouses agree on reduced ex-spousal maintenance payments, for example in exchange for housing property. However, there is no reliable and representative information available on these agreements. • Esther Geisler, Michaela Kreyenfeld66 who were claiming ex-spousal support before and after the reform. It is, however, clear that while the reform created incentives for divorced parents to enter the la- bour market swiftly after splitting up, it also increased the risk of a divorced woman who failed to receive sufficient ex-spousal support having to rely on social benefits. Hypotheses Despite the recent reforms of the German welfare state, there are still considerable differences in the employment patterns of men and women. As women continue to face difficulties in expanding their labour market activities after separation and divorce, we expect to find that they are at a higher risk than lone fathers to receive welfare benefits. These differences between lone mothers and lone fathers in terms of the share receiving welfare benefits may be attributable to differences in their human capital, such as gaps in educational attainment. Compared to lone mothers, lone fathers are more likely to live with children who are older and fewer in number (Matzner 2007). We might therefore assume that lone parents’ education and other socio-demographic characteristics, as well as the ages and the number of children who live with them, explain some of the differences in welfare recipient levels be- tween lone fathers and lone mothers (Hypothesis 1). In Germany, maternal employment has increased over time and fathers have become more active in the upbringing of their children. Because women are more frequently employed than in previous decades, the possibility of women working after union dissolution or expanding their employment may have increased as well. We might therefore assume that the gap between lone mothers and fathers in the risk of being dependent on welfare benefits narrowed during our observation pe- riod (Hypothesis 2). Recent welfare state reforms, in particular the reform of the German Mainte- nance Law, emphasised the principle of “self-reliance” after divorce. We might therefore conclude that divorced as well as married women had a greater incentive than before to establish themselves in the labour market. The risk of a divorced women being dependent on social welfare may, thus, have declined over time. As a consequence, gender differences in terms of welfare recipient levels should have diminished more strongly among divorcees than among those persons that never married (Hypothesis 3a). However, because the German Maintenance Law of 2008 also included major cuts in post-maintenance payments, some divorced women may have been pushed into the labour market, while others were pushed into wel- fare receipt. Thus, our alternative hypothesis assumes that gender differences in welfare recipient levels increased more strongly among divorcees than among the unmarried between 2007 and 2012 (Hypothesis 3b). 3 Data and methods We use data from the German microcensus for the years 2007 and 2012 in this analysis. Ideally, we would have investigated welfare benefit patterns since the mid- Why Do Lone Mothers Fare Worse than Lone Fathers? • 67 1990s, and looked at how various reforms affected the behaviour of lone parents over several decades. However, because the Hartz reforms outlined above rede- fined unemployment and welfare benefit receipt in Germany, comparing these pat- terns before and after 2005 would be too cumbersome. In addition, the microcensus data did not allow us to distinguish between the two forms of unemployment ben- efit (insurance-based for the short-term unemployed and means-tested for the long- term unemployed). Thus, we were able to unambiguously identify respondents who had only been in receipt of social welfare benefits from 2007 onwards. The dataset for 2012 was selected because it is the most recent microcensus dataset for which a Scientific Use File was available when this study was conducted. Furthermore, be- cause the microcensus replaces a quarter of its respondents every year, the sample is fully replaced after four years. As personal identifiers are not included in the data, we selected two years of survey data that are at least four years apart in order to ensure that the respondents do not appear in the data multiple times. The microcensus is a one percent sample of the population in Germany. It has been conducted in western Germany since 1957 and in eastern Germany since 1991. For our analysis, we use the Scientific Use File of the data, which is a 70 percent sub-sample of the original. Our analytical sample contains women and men aged 18 to 64 who were living in a private family household with at least one child under the age of 18, but in which no partner was present. We defined (a) lone fathers as men who were living in a family unit that included minor child(ren), and (b) lone moth- ers as women who were living in a family unit that included minor child(ren). The microcensus distinguishes between family units and households. Although the lone parents in our sample were defined as sharing a family unit with minor child(ren) only, they may have been sharing a household with other people as well (e.g. other relatives, such as the lone parents’ own parents) as a household can contain more than one family unit. It should also be noted that the microcensus does not collect information on the filial relationships of the respondents to the co-residential chil- dren. It is therefore possible that the children in the household were stepchildren, foster children or adopted children. Our key dependent variable is a binary variable that measures the welfare benefit receipt of the respondent. We define a person as a social welfare recipient if he or she was collecting ALG II, social assistance, or housing benefit. The overwhelm- ing share of welfare benefit recipients were collecting ALG II (82 percent). If the respondent was not receiving any of these welfare benefits, he or she was coded as “not receiving welfare benefits”. It should be noted that people can receive these benefits while in employment if their income is too low to support themselves and their families (see below for a further discussion). The socio-economic correlates that we take into account are the age of the youngest child (0-2, 3-5, 6-9, 10-13, 14-17) and the number of children (one, two, three or more children). We also consider whether any of the children had a second residence in order to capture parents who were practicing shared parenting. In our sample, two percent of the mothers and eight percent of the fathers reported that at least one of their children was also registered at a different household. The small share of children who were living at two residences reflects the small percentage of • Esther Geisler, Michaela Kreyenfeld68 parents in Germany who practice shared parenting (Kindler/Walper 2016). We also consider the household context. In particular, we control for whether the respond- ent was living with his or her parents, as co-residence with parents may reduce eligibility for means-tested benefits. Only a very small fraction (roughly three per- cent) of the lone parents in our sample were co-residing with their own parents. In addition, we consider the marital status of the respondent, i.e. whether he or she was never married, was divorced (a category that also includes those who were separated, but were not yet legally divorced), or widowed. The respondent’s level of education is identified using three categories: no degree (low level of education), vocational degree (medium level of education), and university degree (high level of education). The regression analysis further controls for age (18-24, 25-29, 30-34, 35-49, 50-64), and citizenship (German/non-German). Given the considerable differ- ences in maternal employment patterns that have been well documented (Drasch 2012; Hanel/Riphahn 2012), we also control for region (eastern/western Germany). In an initial step, we use standard cross tables to describe the socio-economic characteristics of lone parenthood and how these characteristics changed between 2007 and 2012. In a second step, we employ a binary logistic regression model that explores the determinants of welfare receipt among our two comparison groups (lone fathers and lone mothers). In the final part of our analysis, we investigate the question of whether these gender differences disappeared between 2007 and 2012, using interaction models that take into account gender and calendar year. We also examine the question of whether there are differences by marital status, using a three-way interaction model that includes marital status, calendar time, and gender. 4 Results 4.1 Descriptive results Table 1 presents information on the composition of the sample. It shows that the vast majority of the lone parents studied were mothers, not fathers. In both 2007 and 2012, just 10 percent of the lone parents in our sample were men. Unlike in other countries (Coles 2015), no increase in the share of lone fatherhood in Germany was reported over the period. The results shown in Table 1 reveal that the characteris- tics of the male and the female lone parents differed considerably. The lone fathers were, on average, about six years older than the lone mothers. The majority of the lone fathers were living with teenage children, while most of the lone mothers had children under the age of 10. The lone fathers were also living with fewer children; about three-quarters of the fathers, but only two-thirds of the lone mothers, were living with only one child. In addition, the lone fathers were found to have higher levels of education than the mothers. About 16 percent of the lone fathers, but only around 11 percent of the lone mothers, reported having a university education in 2012. The analysis also uncovered gender differences by marital status. For exam- ple, in 2012, about 42 percent of the lone mothers, but only 23 percent of the lone fathers, were never-married. Relative to the women, the men were more likely to be Why Do Lone Mothers Fare Worse than Lone Fathers? • 69 Tab. 1: Characteristics of lone parents, column percentages Total Lone fathers Lone mothers Mothers Both 2007 2012 Both 2007 2012 & fathers years years Sex Men 9.8 Women 90.2 Calendar year 2007 49.5 48.8 49.6 2012 50.5 51.2 50.4 Region Western Germany 78.4 82.4 83.5 81.4 77.9 77.7 78.1 Eastern Germany 21.6 17.6 16.5 18.6 22.1 22.3 21.9 Citizenship German 88.9 90.5 91.0 90.0 88.7 89.9 87.5 Non-German 11.1 9.5 9.0 10.0 11.3 10.1 12.5 Age group 18-24 5.5 1.5 1.8 1.2 5.9 6.1 5.7 25-29 10.0 2.6 2.3 2.9 10.8 10.8 10.8 30-34 14.0 5.4 5.1 5.8 14.9 14.5 15.4 35-49 61.7 66.3 68.8 63.9 61.2 62.7 59.7 50-64 8.9 24.2 22.1 26.3 7.2 6.0 8.5 Mean age 38.8 44.3 44.1 44.5 38.2 37.9 38.6 Sd. 8.3 7.6 7.5 7.7 8.2 7.9 8.4 Education No education/low level of education 22.3 15.4 16.3 14.5 23.0 23.3 22.8 Medium level of education 61.7 64.9 62.1 67.7 61.4 61.7 61.1 High level of education 11.3 17.5 18.9 16.2 10.6 10.3 10.9 In education 4.3 1.7 1.9 1.6 4.6 4.2 4.9 N/a 0.5 0.5 0.9 0.1 0.5 0.6 0.4 Marital status Never married 37.1 19.1 15.3 22.7 39.1 36.2 41.9 Divorced/married and separated 57.6 69.1 72.6 65.9 56.3 58.9 53.8 Widowed 5.3 11.8 12.1 11.5 4.6 4.9 4.3 Household position Household reference person 94.4 95.9 96.5 95.4 94.2 94.7 93.7 Son/daughter (in law) of household reference person 2.8 2.6 2.7 2.5 2.8 3.0 2.6 Other kin of household reference person 0.5 0.6 0.6 0.6 0.5 0.5 0.4 No kinship with household reference person 2.4 0.9 0.3 1.5 2.5 1.8 3.2 Number of children One child 67.9 76.2 75.0 77.3 66.9 67.7 66.2 Two children 25.6 20.0 21.1 18.9 26.3 25.9 26.7 Three or more children 6.5 3.9 4.0 3.8 6.8 6.5 7.1 • Esther Geisler, Michaela Kreyenfeld70 divorced or to be widowed. Although widowhood has declined over time, 12 per- cent of the lone fathers and four percent of the lone mothers reported in 2012 that they were widowed. The table also displays information on the respective propor- tions of the lone mothers and fathers who were receiving welfare benefits. Among the lone fathers, 20 percent in 2007 and 19 percent in 2012 reported that they were collecting welfare benefits. Among the lone mothers, by contrast, 39 percent in 2007 and 37 percent in 2012 indicated that they were receiving welfare benefits. Thus, a slight downward trend in welfare receipt was observed for both groups. Moreover, the descriptive statistics suggest that these gender differences were sta- ble over the period studied, with the risk of welfare receipt consistently being twice as high among the lone mothers compared to the lone fathers. Of the welfare recipients in our sample, nearly two-thirds (65 percent) were not working. However, under the German system, individuals who are employed may also be eligible to claim social benefits to top up their incomes if their wages are not high enough to enable them to support themselves and their families. Figure 1 shows that levels of welfare receipt were much higher among the employed lone mothers than among the employed lone fathers (see also Table A1 in the appendix). 20 percent of the mothers but only six percent of the working fathers were receiv- ing welfare benefits. This pattern can be attributed in large part to the finding that, compared to the lone fathers, the lone mothers were more likely to be in marginal or part-time employment where wages are lower than in full-time jobs. We do not take into account the employment status in the multivariate regression, as employment cannot be regarded as an exogenous variable to the collection of welfare benefits. Total Lone fathers Lone mothers Mothers Both 2007 2012 Both 2007 2012 & fathers years years Age of youngest child 0-2 14.0 3.1 3.2 2.9 15.2 14.8 15.5 3-5 15.8 9.3 8.3 10.2 16.5 16.3 16.6 6-9 21.5 16.5 16.7 16.3 22.0 22.7 21.4 10-13 22.9 29.0 27.6 30.4 22.2 22.1 22.3 14-17 25.9 42.2 44.3 40.2 24.1 24.2 24.1 At least 1 child has other residence Yes 2.6 7.6 7.8 7.4 2.0 1.9 2.2 No 97.4 92.4 92.2 92.7 98.0 98.1 97.8 Welfare benefits (unemployment benefit II, social assistance, housing benefit) No 63.8 80.6 80.0 81.2 62.0 61.0 62.9 Yes 36.2 19.4 20.0 18.8 38.0 39.0 37.1 Number of cases 18,928 1,859 907 952 17,069 8,469 8,600 Tab. 1: Continuation Source: Scientific Use File of the German microcensus 2007 and 2012. Data are not weighted. Why Do Lone Mothers Fare Worse than Lone Fathers? • 71 However, for the interpretation of the subsequent investigations, it is important to bear in mind that even if they were able to enter the labour market, the lone mothers continued to be at a high risk of welfare receipt. 4.2 Regression results Table 2 shows the results from the logistic regression that estimated the probability of receiving social welfare benefits. The results are reported as average marginal effects (AME). The outcomes for Model 1 – which includes only calendar year, citi- zenship, region, and gender – confirm the descriptive finding that welfare receipt was lower among the lone fathers than among the lone mothers. The results also revealed that welfare receipt levels were lower in 2012 than in 2007, and that the risk of receiving welfare benefits was substantially higher for foreign nationals than for German nationals. We also find that people in eastern Germany were more likely to receive welfare benefits than those in the west of the country. Separate investiga- tions by region (see Table A2 in the Appendix) reveal that the determinants for col- lecting welfare were very similar in eastern and western Germany, with the excep- tion of the number and age of children. While the age of the children was a strong predictor of welfare receipt among lone parents in western Germany, this was not the case in the eastern part of the country. However, having three or more children was a stronger predictor of welfare receipt in eastern than in western Germany. The findings for Model 2 indicated that the likelihood of receiving welfare ben- efits declined with age, with the lone parents aged 18-24 being at the greatest risk of having to rely on welfare benefits. Model 3 included the respondent’s level of Fig. 1: Probability of receiving welfare benefits by calendar year, employment status, and gender 0 25 50 75 100 Total Non-employed Employed Total Non-employed Employed 37 74 20 19 73 6 39 75 20 20 75 7 2007 2012 Lo n e m o th e rs L o n e fa th e rs Note: Respondents on parental leave are classified as non-employed. Source: Scientific Use File of the German microcensus 2007 and 2012. Data are not weighted. • Esther Geisler, Michaela Kreyenfeld72 education. In line with previous research (see also Chzhen/Bradshaw 2012; Achatz et al. 2013), a strong negative gradient was found: compared to having a medium level of education, the risk of welfare receipt increased by 29 percent when the re- spondents had either no education or a low level of education. While the divorced respondents were at a lower risk of receiving welfare benefits compared to the never-married (see Model 4), the effect was not very strong. By contrast, the risk of collecting social benefits was found to be much lower for the widowed respondents than for their divorced or never-married counterparts: the risk of welfare benefit reli- ance was about 16 percent lower for the widowed respondents than for the never- married respondents. This result can most likely be attributed to the availability of a survivor’s pension, which reduces the chances of a widow or widower having to rely on welfare benefits. The results also showed that co-residence with the parent’s own parents – which was more common among younger than among older lone parents – acted as a buffer against some of the adverse effects of early lone parenthood on welfare receipt. If a respondent was living with his or her parents, the probability that he or she was receiving welfare benefits was 25 percent lower than it was for a re- spondent who was living in an independent household. Whether a lone parent was receiving welfare benefits was greatly influenced by how many children the parent had and how old they were (see also Chzhen/Bradshaw 2012; Achatz et al. 2013). The probability of receiving social benefits was 18 percent higher among the lone parents with three or more children than among their counterparts with one child only (see Model 5). The analysis also showed that the likelihood of a lone parent receiving social benefits declined gradually as his or her children grew older. The model includes an indicator of whether the parent’s children were also living at a second residence, as this may indicate that the lone parent was in a shared parent- ing arrangement, thus potentially making it easier for her or him to engage in the labour market. The model results confirm this assumption: the probability of a lone parent being on welfare declined by about eight percent if his or her children were also living at a second residence. A major finding from the stepwise modelling procedure is that the inclusion of the socio-demographic characteristics of the lone parents reduced the gender dif- ferences from 18 (Model 1) to eight percent (Model 5). Thus, lone mothers are at a higher risk of welfare receipt, but lone parents’ socio-demographic characteristics – particularly their educational levels and the ages and number of their children – explain some of the differences in the levels of welfare receipt found between lone fathers and lone mothers (see Hypothesis 1). The pseudo R squared suggests that the model fit increases in particular when marital status and education are included in the model. In the next step of our analysis, we examined the evolution of gender differences between 2007 and 2012. Figure 2 includes the results from an interaction model by calendar year and gender. We assumed that gender differences in welfare receipt would narrow. The improved compatibility of work and family life has resulted in a rise in the employment rates of (partnered) women, which should have also af- fected the employment prospects of women after union dissolution (see Hypoth- Why Do Lone Mothers Fare Worse than Lone Fathers? • 73 M o d e l 1 M o d e l 2 M o d e l 3 M o d e l 4 M o d e l 5 A M E S ig . A M E S ig . A M E S ig . A M E S ig . A M E S ig . S e x (r e f. w o m e n ) M e n -0 .1 7 8 ** * -0 .1 3 2 ** * -0 .1 15 ** * -0 .1 0 8 ** * -0 .0 8 4 ** * C a le n d a r ye a r (r e f. 2 0 0 7 ) 2 0 12 -0 .0 2 4 ** * -0 .0 2 3 ** -0 .0 2 0 ** -0 .0 2 4 ** * -0 .0 2 5 ** * R e g io n ( re f. w e st e rn G e rm a n y) E a st e rn G e rm a n y 0 .1 4 7 ** * 0 .1 0 6 ** * 0 .1 41 ** * 0 .1 3 3 ** * 0 .1 2 7 ** * C it iz e n sh ip ( re f. G e rm a n ) N o n -G e rm a n 0 .2 41 ** * 0 .2 2 6 ** * 0 .1 4 6 ** * 0 .1 5 4 ** * 0 .1 4 2 ** * A g e g ro u p ( re f. 3 5 -4 9 ) 18 -2 4 0 .3 4 5 ** * 0 .2 2 5 ** * 0 .1 9 0 ** * 0 .1 7 5 ** * 2 5 -2 9 0 .2 6 7 ** * 0 .1 9 2 ** * 0 .1 6 7 ** * 0 .1 2 2 ** * 3 0 -3 4 0 .1 51 ** * 0 .1 15 ** * 0 .1 0 0 ** * 0 .0 5 5 ** * 5 0 -6 4 -0 .0 2 0 * -0 .0 12 n .s . 0 .0 0 5 n .s . 0 .0 5 2 ** * E d u ca ti o n ( re f. m e d iu m e d u ca ti o n ) N o e d u c a ti o n /l o w l e v e l o f e d u c a ti o n 0 .2 8 9 ** * 0 .2 9 1 ** * 0 .2 7 7 ** * H ig h l e v e l o f e d u c a ti o n -0 .1 8 4 ** * -0 .1 8 7 ** * -0 .1 9 1 ** * In e d u c a ti o n 0 .0 4 8 ** 0 .0 4 6 ** 0 .0 6 2 ** * M a ri ta l st a tu s (r e f. n e ve r m a rr ie d ) D iv o rc e d /m a rr ie d a n d s e p a ra te d -0 .0 3 6 ** * -0 .0 5 2 ** * W id o w e d -0 .1 6 4 ** * -0 .1 7 2 ** * H o u se h o ld p o si ti o n ( re f. h o u se h o ld r e fe re n ce p e rs o n ) S o n /d a u g h te r (i n l a w ) o f h o u se h o ld r e fe re n ce p e rs o n -0 .2 5 4 ** * O th e r ki n o f h o u se h o ld r e fe re n ce p e rs o n -0 .1 2 2 ** N o k in sh ip w it h h o u se h o ld r e fe re n ce p e rs o n -0 .2 4 9 ** * T a b . 2 : R e su lt s fr o m b in a ry lo g is ti c re g re ss io n , d e te rm in an ts o f w e lf a re b e n e fi t re ce ip t (u n e m p lo y m e n t b e n e fi t II , so ci a l a ss is ta n ce , h o u si n g b e n e fi t) ( 1= y e s; 0 = n o ), a v e ra g e m a rg in a l e ff e c ts ( A M E ) • Esther Geisler, Michaela Kreyenfeld74 T a b . 2 : C o n ti n u a ti o n M o d e l 1 M o d e l 2 M o d e l 3 M o d e l 4 M o d e l 5 A M E S ig . A M E S ig . A M E S ig . A M E S ig . A M E S ig . N u m b e r o f ch il d re n ( re f. o n e c h il d ) T w o c h ild re n 0 .0 6 8 ** * T h re e o r m o re c h ild re n 0 .1 8 3 ** * A g e o f yo u n g e st c h il d ( re f. 0 -2 ) 3 -5 -0 .0 3 7 ** 6 -9 -0 .0 6 4 ** * 10 -1 3 -0 .1 0 7 ** * 14 -1 7 -0 .1 3 7 ** * A t le a st 1 c h il d h a s se co n d r e si d e n ce ( re f. n o ) Y e s -0 .0 7 8 ** * M o d e l su m m a ry L o g l ik e lih o o d s ta rt in g m o d e l -1 2 ,3 8 8 -1 2 ,3 8 8 -1 2 ,3 8 8 -1 2 ,3 8 8 -1 2 ,3 8 8 L o g l ik e lih o o d -1 1, 9 11 -1 1, 4 0 3 -1 0 ,5 8 9 -1 0 ,5 3 3 -1 0 ,0 6 2 P se u d o R ² 0 .0 4 0 .0 8 0 .1 5 0 .1 5 0 .1 9 N u m b e r o f ca se s 18 ,9 2 8 18 ,9 2 8 18 ,9 2 8 18 ,9 2 8 18 ,9 2 8 N o te s: * ** p < 0 .0 0 1 ; ** p < 0 .0 1 ; * p < 0 .0 5 . A M E : av e ra g e m ar g in al e ff e ct s. S o u rc e : S ci e n ti fi c U se F ile o f th e G e rm an m ic ro ce n su s 2 0 0 7 a n d 2 0 1 2 . Why Do Lone Mothers Fare Worse than Lone Fathers? • 75 esis 2). However, our results do not support this hypothesis. Instead, we observed a slight decline in welfare benefit reliance from 2007 to 2012 for fathers as well as for mothers, with the gender difference remaining fairly stable. After controlling for socio-demographic characteristics, the difference between the genders narrowed (Fig. 2, Panel 2). In the final part of the investigation, we examined differences by marital status. In 2008, a reform of the German Maintenance Law was enacted, aimed at strength- ening the economic independence of divorced women. The notion of “self-reliance” that governed this reform may have pulled married as well as divorced women into the labour market, thereby reducing divorced mothers’ reliance on welfare benefits. However, as the reform also mandated large cuts in ex-spousal maintenance, the divorced women who were unable to enter the labour market may have become increasingly reliant on social benefits. To illustrate these patterns, Figure 3 displays the results of a three-way interaction, by marital status, calendar year and gender. As the sample sizes for widowers and widows were rather small, they were omit- ted from this part of the analysis. Panel 1 in Figure 3 shows the pattern for the Fig. 2: Average predicted probabilities from the interaction model, by calendar year and gender 0.0 0.1 0.2 0.3 0.4 0.5 2007 2012 year Fathers Motthers Panel 1: No controls Panel 2: With controls Fathers Mothers 0.0 0.1 0.2 0.3 0.4 0.5 2007 2012 year Fathers Motthers Note: The results displayed in panel 1 do not contain any covariates apart from gender and calendar year (in interaction). The model in panel 2 includes all covariates that are also included in Model 5 (region, citizenship, age of respondent, household position, marital status, number of children, age of youngest child, second residence of child, education). Source: Scientific Use File of the German microcensus 2007 and 2012. Data are not weighted. • Esther Geisler, Michaela Kreyenfeld76 never-married parents. The figure suggests that the likelihood of the never-married mothers and fathers receiving social welfare benefits showed signs of converging between 2007 and 2012, as welfare receipt levels declined slightly among the never- married mothers, but increased among the never-married fathers. Panel 2 in Fig- ure 3 displays the results for the divorcees. We observed stable and strong gender differences in terms of the probability of receiving welfare, and even witnessed a slight increase in 2012. The divorced mothers were found to be more than twice as likely as the divorced fathers to be receiving welfare benefits. Thus, we must reject the claim that the maintenance reform has enforced women’s self-reliance and di- minished the gender gap (see Hypothesis 3a). We find that the differences between the genders among the unmarried narrowed, while they increased slightly in the Fig. 3: Average predicted probabilities from the interaction model, by calendar year, marital status and gender (with all controls) 0.0 0.1 0.2 0.3 0.4 0.5 2007 2012 year Fathers Motthers Fathers Mothers 0.0 0.1 0.2 0.3 0.4 0.5 2007 2012 year Fathers Motthers Never-married parents Divorced parents Note: The model includes all covariates that are also included in Model 5 (region, citizen- ship, age of respondent, household position, marital status, number of children, age of youngest child, second residence of child, education). Source: Scientific Use File of the German microcensus 2007 and 2012. Data are not weighted. Why Do Lone Mothers Fare Worse than Lone Fathers? • 77 case of the divorcees, which provides mild support for the alternative hypothesis (see Hypothesis 3b). 5 Summary and conclusions This article has examined gender differences in terms of transfer reliance among lone fathers and mothers in Germany. Our analysis uncovered stark gender dif- ferences in the risk of welfare receipt among lone parents. The findings indicate that in 2012, 19 percent of the lone fathers and 37 percent of the lone mothers in our sample relied on transfers. Although the vast majority of the welfare recipients in our study were not in employment, significant proportions of the lone parents who were employed were also claiming welfare benefits. Among the employed lone parents, 20 percent of the mothers and six percent of the fathers were collecting benefits in 2012. These results suggest that being employed did not fully shield the lone mothers from the risk of having to rely on welfare receipt, because many of these lone mothers were either not in full-time employment or did not earn enough money to support a family. The regression analysis showed that gender differences in welfare receipt can partially be explained by the ages and the number of children living in the house- hold. The finding that the lone fathers were more likely than the lone mothers to be highly educated may also explain some of the differences between these two groups. Another important finding from our investigation was a narrowing of these gender differences between 2007 and 2012. However, the time trend was shown to differ by marital status. While we observed a trend towards convergence among the never-married parents, we also found that the differences between the divorced mothers and fathers remained relatively unchanged. A primary aim of the reform of the German Maintenance Law in 2008 was to strengthen the economic independ- ence of divorcees. Although our results did not show that the risk of welfare receipt increased among the divorced women in our sample, they also failed to provide evidence that the reform made these women less economically dependent on state subsidies. While previous research for other countries has shown that lone fatherhood is on the rise, the findings of our investigation did not support that notion for Germany. In our sample, men constituted roughly 10 percent of all lone parents, and this figure changed very little over time. One potential explanation as to why other countries have been reporting major changes in the prevalence of lone fatherhood while a similar pattern has not been evident in Germany is that joint parenting is becom- ing increasingly common in other countries, but not yet in Germany (Kindler/Walp- er 2016). In our analysis, we used an indirect measure of joint parenting, namely whether there was a child in the household who had a second residence. We found that only a small fraction (less than five percent) of the parents reported having such an arrangement. These lone parents were found to be less likely to be receiving welfare, which suggests that shared parenting could increase lone parents’ employ- ment and lower the share who received welfare benefits. However, our measure of • Esther Geisler, Michaela Kreyenfeld78 shared parenting probably did not capture all of the respondents who were practic- ing this arrangement, as it relied on the official registration of a second residence with the local authorities. Fathers who practice shared parenting may be classified as lone fathers in other countries, whereas such fathers in Germany may not have entered our investigation because their children were not officially registered with the local municipality as living with their father “part-time”. Unfortunately, we know little about how couples who practice shared parenting in Germany manage the of- ficial registration of their children’s residence. There is still relatively little research on shared parenting for the German case in general (see, however, Kindler/Walper 2016). Our analysis suggests that this type of research is desperately needed in order to gain a better understanding of living arrangements of lone parents and the possible impact of such arrangements on the economic well-being of children and parents. There are also limitations as regards the variables that were included in our in- vestigation. We were able to explain some of the gender differences in welfare ben- efit reliance by controlling for the standard socio-demographic characteristics of the children and the parents. As the lone fathers were more likely than the lone mothers to be living with older children, they were less likely to be facing the challenges associated with caring for small children while maintaining paid employment. How- ever, some of the gender differences we observed remain unexplained. An impor- tant dimension that was left out was gender role norms (Grunow/Evertsson 2016; Schneider et al. 2015). Parental behaviour is governed by societal norms of what constitutes good parenthood (Coltrane 2009; Fenstermaker/West 2002), and by the fact that fathers are pulled into the labour market because society assigns them the role of family provider. Conversely, it may be assumed that women reduce their labour market participation while prioritising family and care obligations in order to live up to the societal norm of “good motherhood” (Hays 1996). These moral obli- gations guide the division of labour between couples, but they can also extend be- yond union dissolution. Thus, the high share of welfare recipients observed among lone mothers should be seen as resulting from the tension between being a good provider for the family and a good caregiver. Lone fathers may prioritise full-time employment and the financial well-being of the household, while lone mothers may be more willing to sacrifice financial well-being for time spent with their children in order to align their behaviour with their aspiration to be a “good mother” (Duncan/ Edwards 1997). Yet, with the microcensus, which does not include any attitudinal questions, we were unable to examine how the incompatibility of work and family life affects the lives of lone parents, or how gendered attitudes towards parental responsibilities play into this dynamic. Another important limitation of our study is that the microcensus data we used do not include information on the respondents’ employment and earnings histories. Women – and especially married women – are more likely than men to reduce their level of employment after having a child. These women may face substantial obsta- cles to increasing their level of employment after separation, and are therefore at a particularly high risk of becoming reliant on welfare benefits. With the data from the microcensus, we were able to provide robust estimates of the shares of welfare re- Why Do Lone Mothers Fare Worse than Lone Fathers? • 79 ceipt by calendar year, marital status, and gender. However, we were unable to track the same individuals over time, or to examine how the event of divorce and sepa- ration triggered benefit claims, and how these patterns differed by gender across policy contexts. Conducting such a methodologically superior longitudinal analysis was, unfortunately, not possible given the limitations of the microcensus data. Our analysis has also been confined to the investigation of lone fathers and lone mothers. Examining how the transition into a new co-residential union, which ter- minates the status of lone parenthood, affects the risk of receiving welfare was be- yond the scope of our investigation. Furthermore, our analysis compared the risks of welfare receipt among lone mothers and lone fathers, but disregarded other com- parison groups. Although we found that lone fathers have been outperforming lone mothers, it must be emphasised that compared to two-parent families, lone parents – regardless of their gender – are more likely to be reliant on welfare. Finally, our investigation only included the immediate period following the re- form of the German Maintenance Law. The courts may possibly have adopted the legislation with a certain time lag as some ambiguities arose over the correct in- terpretation of the new regulation (Lenze 2014). It would therefore be important to continue to monitor the differences in the risk of welfare receipt between divorced and never-married parents once new releases of the Scientific Use File of the micro- census become available. Acknowledgements The research leading to these results received funding from the German Research Foundation (project number: 266395921). We would like to thank Cordula Zabel for her valuable comments as well as Miriam Hils and Lena Klein for language editing. 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Zoch, Gundula; Hondralis, Irina 2017: The expansion of low-cost, state-subsidized child- care availability and mothers’ return-to-work behaviour in East and West Germany. In: European Sociological Review 33,5: 693-707 [doi: 10.1093/esr/jcx068]. Date of submission: 11.07.2018 Date of acceptance: 16.03.2019 Dr. Esther Geisler. Hertie School of Governance. Berlin, Germany. Prof. Dr. Michaela Kreyenfeld (*). Hertie School of Governance. Berlin, Germany E-mail: kreyenfeld@hertie-school.org URL: https://www.hertie-school.org/de/forschung/professoren/profil/person/kreyenfeld/ Why Do Lone Mothers Fare Worse than Lone Fathers? • 83 Appendix Tab. A1: Employment status (column %) and share of welfare benefit recipients (unemployment benefit II, social assistance or housing benefit) by employment status 2007 2012 Employment % receiving Employment % receiving status benefit status benefit Lone fathers Employed 80.6 6.7 81.1 6.2 Non-employed 19.4 75.0 18.9 72.8 Total 100.0 20.0 100.0 18.8 Number of cases 907 181 952 179 Lone mothers Employed 65.8 20.4 68.0 19.8 Non-employed 34.2 74.8 32.0 73.73 Total 100.0 39.0 100.0 37.06 Number of cases 8,469 3,303 8,600 3,187 Note: Respondents on parental leave are classified as non-employed. Source: Scientific Use File of the German microcensus 2007 and 2012. Data are not weighted. • Esther Geisler, Michaela Kreyenfeld84 Tab. A2: Results from binary logistic regression, determinants of welfare benefit receipt (unemployment benefit II, social assistance, housing benefit) (1=yes; 0=no), western and eastern Germany, average marginal effects (AME) Western Germany Eastern Germany AME Sig. AME Sig. Sex (ref. women) Men -0.079 *** -0.114 *** Calendar year (ref. 2007) 2012 -0.017 * -0.051 *** Citizenship (ref. German) Non-German 0.121 *** 0.244 *** Age group (ref. 35-49) 18-24 0.173 *** 0.158 *** 25-29 0.105 *** 0.166 *** 30-34 0.059 *** 0.047 * 50-64 0.042 ** 0.133 *** Education (ref. medium level of education) No education/low level of education 0.235 *** 0.248 *** High level of education -0.180 *** -0.351 *** In education 0.076 *** 0.019 Marital status (ref. never married) Divorced/married and separated -0.056 *** -0.035 * Widowed -0.189 *** -0.143 ** Household position (ref. household reference person) Son/daughter (in law) of household reference person -0.332 *** -0.283 *** Other kin of household reference person -0.178 *** 0.233 + No kinship with household reference person -0.323 *** -0.272 *** Number of children (ref. one child) Two children 0.060 *** 0.101 *** Three or more children 0.142 *** 0.303 *** Age of youngest child (ref. 0-2) 3-5 -0.033 ** -0.033 6-9 -0.071 *** -0.016 10-13 -0.122 *** -0.058 14-17 -0.162 *** -0.004 At least one child has second residence (ref. no) Yes -0.094 ** -0.071 Model summary Log likelihood starting model -9,451 -2,828 Log likelihood -7,562 -2,406 Pseudo R² 0.20 0.15 Number of cases 14,834 4,094 Notes: *** p<0.001; **p<0.01; * p<0.05; + p<0.1. AME: average marginal effects. Source: Scientific Use File of the German microcensus 2007 and 2012. Published by Prof. Dr. Norbert F. Schneider Federal Institute for Population Research D-65180 Wiesbaden / Germany 2019 Managing Editor Prof. Philip Rees Dr. Katrin Schiefer Copy Editor Julia Luther Editorial Assistant Beatriz Feiler-Fuchs Wiebke Hamann Layout Beatriz Feiler-Fuchs E-mail: cpos@bib.bund.de Scientifi c Advisory Board Karsten Hank (Cologne) Michaela Kreyenfeld (Berlin) Marc Luy (Vienna) Natalie Nitsche (Vienna) Peter Preisendörfer (Mainz) Zsolt Spéder (Budapest) Rainer Wehrhahn (Kiel) Comparative Population Studies www.comparativepopulationstudies.de ISSN: 1869-8980 (Print) – 1869-8999 (Internet) Board of Reviewers Martin Abraham (Erlangen) Laura Bernardi (Lausanne) Hansjörg Bucher (Bonn) Claudia Diehl (Konstanz) Andreas Diekmann (Zurich) Gabriele Doblhammer-Reiter (Rostock) Jürgen Dorbritz (Wiesbaden) Anette Eva Fasang (Berlin) E.-Jürgen Flöthmann (Bielefeld) Alexia Fürnkranz-Prskawetz (Vienna) Beat Fux (Salzburg) Joshua Goldstein (Berkeley) Sonja Haug (Regensburg) Hill Kulu (Liverpool) Aart C. Liefbroer (The Hague) Kurt Lüscher (Konstanz) Emma Lundholm (Umeå) Nadja Milewski (Rostock) Dimiter Philipov (Vienna) Roland Rau (Rostock) Tomáš Sobotka (Vienna) Jeroen Spijker (Barcelona) Olivier Thévenon (Paris) Helga de Valk (Brussels) Heike Trappe (Rostock) Michael Wagner (Cologne) _GoBack