ABSTRACT
This paper analyses how unstable employment influences becoming a mother in Italy and Spain. Results suggest that institutional factors foster dynamics of social inequality and hinder family formation. We show that in southern Europe (Italy and Spain), but not in other institutional contexts, the lack of employment stability produces a delay in fertility decision. We attribute this impact of the employment situation on demographic decisions to the sub-protective southern European welfare systems and the insider–outsider labor market configuration, as enhanced by the partial and targeted labor market deregulations of recent decades. In the context of low levels of welfare, unstable employment often comes with persistently reduced entitlement to social and welfare rights, and, therefore, with notable social and demographic consequences. We provide support for this institutional argument by showing that fertility decisions are independent of employment stability in other contexts. Analyses are based on longitudinal data using event history analysis and simultaneous equation models.
1. Introduction
Over recent decades, European labor markets have undergone transformations which instigated a severe process of labor market segmentation, with the secondary sector characterized by the diffusion of different forms of non-standard and precarious jobs, growing uncertainty, and instability (particularly for young labor market entrants) and high unemployment risks. The increased insecurity at career start is a direct consequence of the way in which the process of labor market flexibilization has been conducted within European labor markets (Barbieri 2009) and the aggregated consequences of the extent and type of labor market (de)regulation, depending on the welfare system (Esping-Andersen 1999; Mayer 2004). The most problematic social consequences of this process have been found in corporatist–conservative systems, and specifically in southern Europe, where the rapid and intense shift from rigid employment protection systems to labor markets which are flexibilized (only) ‘at the margins’ propelled the so-called insider–outsider divide (Esping-Andersen and Regini 2000; Blanchard and Landier 2002; Blossfeld et al.2008; Barbieri 2011). The interaction with individual characteristics and endowments produces specific structures of (dis-)incentives for different ‘biographical breaks’ (Vandecasteele 2011).
In addition, the ‘demographic crisis’ has hit southern Europe particularly hard. The sharp decline in fertility rates among advanced countries began in the mid-1970s – well before the launch of the process of labor market deregulation – due to a combination of increasing age at first maternity (tempo effect) and a decline in the number of children per woman (quantum effect). Italy and Spain have experienced a significant postponement of first births without catching up in number as women age (Frejka and Sobotka 2009; Billari 2008; Bratti and Tatsiramos 2012). Other Western countries also have a fertility rate way below the replacement rate, but did not reach these ‘lowest low’ levels.
This paper brings together the increasingly insecure employment situations and fertility decisions and investigates how specific episodes in women's work careers – work insecurity and precariousness – influence the timing of first childbirth. The issue is particularly relevant in low-fertility countries, where it meets a pre-existing trend of fertility reduction. We argue that, following an institutionalist approach to family formation (Smeeding et al.2004) the relevance of employment for fertility decisions has to be understood in terms of the relation between macro-level welfare support, labor market arrangements, and micro-level, individual characteristics, including work histories. The lack of institutional support combined with a segmented labor market structure not only leads to increased levels of employment uncertainty, but also increases the opportunity costs of motherhood for non-stably employed women (Blossfeld et al.2005; Billari 2008) and thus (further) reduces fertility. We analyze the impact of employment instability and the moderating effect of personal resources on women's fertility dynamics, focusing on a context that provides weak institutional support for young people (in terms of unemployment protection, active labor market policies and welfare benefits) and newly formed families1 and is characterized by a strongly segmented labor market – namely Italy and Spain. We compare these results to countries with different macro contexts – namely Germany and the USA – to provide additional support for our institutional argument. The effect of employment insecurity is expected to be much less pronounced, or even absent, in contexts that either provide institutional support (Germany) or are characterized by more fluid and efficient labor and service markets (USA). We show that southern Europe displays a particular pattern and provide arguments for why this is the case.
The next section presents the institutional arguments regarding the link between employment and reproduction and reviews the empirical literature. Section 3 then presents the specific contribution of this paper. Data and methods are treated in Section 4, Section 5 reports the results and Section 6 concludes.
2. Childbirth in southern Europe and the role of employment stability
The classic microeconomic approach identifies the growth in women's economic independence as the primary cause of the fertility crisis. In this view, the declining number of children per woman is due to the growing opportunity costs of child-bearing and child-rearing for women likely to participate in the labor market (and trying to balance work and family roles). Empirical studies confirm that especially highly educated women have strong incentives to invest in their careers before having children because their employment chances and their returns on education decrease with maternity (Baizan 2005; Barbieri and Scherer 2008). Comparative studies have noted the relevance of institutional settings in providing opportunities that enable women to combine childbirth and employment (Ahn and Mira 2002; Sleebos 2003; Gauthier 2007; Bratti and Tatsiramos 2012). Rindfuss and Brewster (1996) argued that if female labor force participation acts as a constraint on fertility, any easing of the worker–mother conflict, such as improvements in childcare quality and availability, as well as any decrease in the cost of childcare, would have a positive impact on fertility. Bratti and Tatsiramos (2012) examining childbirth in European countries find a postponement effect in countries where the opportunity cost of childbearing is relatively high due to the lack of family friendly institutions, side by country-specific cultural influences. Countries are, thus, differently equipped to ease potential work–family frictions. Ferrera (2010) maintains that the southern European welfare state is particularly unfit in this respect and is further unable to compensate for growing labor market insecurity – affecting mainly the young cohorts in their ‘fertile years’ – due to its typical ‘double distortion’ toward old-age transfers and insider protection. This prevents from the adoption of forms of social policies able to help women to reconcile work and family duties and shelter young families from economic insecurity.2 Indeed, Italy and Spain are both known to offer minimum state support to families, both in terms of services and transfers. Care responsibilities are relegated to the domestic environment, that is, ‘endogenized’ into the family (Esping-Andersen 1999; Gauthier 2007; Saraceno and Keck 2010).3 Public child and elderly care services are scarce, the taxation systems disfavor families, family benefits are among the lowest in western Europe, and parental leave is comparatively long but low and partly unpaid (González 2006; Del Boca and Wetzels 2007, Ray 2008). Such welfare shortages make (stable) employment in general particularly relevant for family formation, and in particular they increase the opportunity costs associated with motherhood – especially for women with high human capital endowment. As a consequence, Italian and Spanish working women are ‘structurally’ forced to maximize their career opportunities before becoming mothers (Golsch 2003; González 2006; Scherer and Reyneri 2008) and are thus likely to postpone motherhood.
This situation interacts with the process of labor market flexibilization, which in Italy and Spain took the form of a strong partial and targeted deregulation. Deregulation at the margins, planned to respond to widespread unemployment, significantly reduced both labor and welfare protections, thus exacerbating the gap between labor market insiders and young outsiders (Bentolila et al.1994; Polavieja 2003, 2005; Barbieri and Scherer 2009; Barbieri 2011). The negative effects of these processes concentrate on the young, recent labor market entry cohorts and women (Esping-Andersen and Regini 2000; Blossfeld et al.2008; Barbieri 2009). Youngsters experience more difficulties than previous cohorts with finding secure employment conditions and are increasingly exposed to higher risks of unemployment and employment instability, thus with increasingly unstable and fragmented working careers. Education moderates the effects of labor market flexibilization. Temporary contracts may serve as a stepping stone for (part of) the better-educated workers (Barbieri and Scherer 2009), whereas the poorly educated are more likely to be limited to precarious employment in the secondary labor market.
Various studies document how the persistent wage penalty of contingent work (compared to permanent work) and the consequent loss of potential earnings of young cohorts of instable workers helped to expand labor market segmentation and dualism in southern Europe (Davia 2004; Rosolia and Torrisi 2007; Barbieri and Cutuli 2010; Cutuli and Guetto 2013). Therefore, the southern European model faces increasing difficulties to offer the type of secure employment necessary for a one-breadwinner equilibrium in which the family is guaranteed access to welfare support as a result of the (male) head of household's secure job; the increased labor market uncertainty enhances the relevance of a second income for the future economic well-being of the family. As a consequence, a woman is likely to delay becoming a mother until she has reached an economically stable employment situation (González and Jurado-Guerrero 2007).
Previous studies focusing on the interrelation between women's employment, their work careers (including unemployment and insecure work experiences) and family formation in Italy and Spain yield inconsistent results. Some studies report that the persistence of the traditional male breadwinner model among Italian and Spanish families implies that the rise of work uncertainty appears to affect only men's family formation and parenthood, whereas among women the main distinction is between jobless women (who are more likely to marry and have children) and employed women. According to these studies, flexible work arrangements do not play any significant role in postponing women's family transitions (Golsch 2003; Bernardi and Nazio 2005; Vignoli et al.2012) and Golsch (2003) found the probability of becoming mother to be highest among women with weak labor market attachment. In contrast, other studies showed that among Spanish women rising instability (unemployment and temporary contracts) leads to the postponement of marriage, indirectly affecting fertility (Gutiérrez-Domènech 2006). Finally, de la Rica and Iza (2005) noted that among young women with temporary contracts, motherhood is delayed independently of the husband's employment contract. Friedman et al. (1994) and Kreyenfeld (2010) underline that the role of employment security might be moderated by women's characteristics and endowments and they report evidence that among low-educated women, economic uncertainties accelerate the decision to have children (Kreyenfeld 2010). However, this previous research is largely based on data from the 1990s, when the process of labor market deregulation was in its very early stages in Italy. In Spain, the process began more than a decade earlier, which may explain the differences between the various studies. This paper integrates previous evidence using a more ample time window to analyze changes in demographic behavior and its dependence on the employment situation within the context of increasing levels of economic and employment uncertainty. We focus on the effects of unstable4 or even precarious employment positions on women's transiting to parenthood.
3. Research questions – this paper's contribution
Italy and Spain are fairly similar regarding these macro-level institutional factors, namely the ‘familistic’ sub-protective welfare and the type of labor market (de)regulation. We argue that the combination of these institutional contexts increases uncertainty in the initial phase of adult life and thus hampers family formation, mainly for those in secondary labor market positions. We expect that in this southern European context job uncertainty and/or atypical/precarious jobs at early career stages lead to a delay of motherhood (Hypothesis 1-a). Yet, once a stable employment position is gained and/or secure economic conditions have been reached the likelihood of having a child should then increase (H1-b). This paper does not intend to explain neither fertility trends in general, nor the countries-differences in fertility levels. It focuses on the effect of instable employment situations on motherhood in Italy and Spain, as an institutionally originated and defined phenomenon.
Women's education is expected to play a key role in moderating the effects of unstable careers, in the sense that the delay of first birth through secondary labor market positions should be much stronger among highly educated women (H2). The reason is twofold. First, the potential depreciation of the career by motherhood is higher among highly educated women. Second, these women have greater chances to escape from disadvantageous employment positions and achieving an ‘adequate’ career level and/or contractual position that is then (perceived as) compatible with having a child. It is thus rational to postpone motherhood until this happens. The situation might be different for less-well-educated women, for whom precarious employment may even speed up motherhood. According to Friedman et al. (1994), for women with very limited career prospects the alternative role as a mother and thus a rapid family formation might be appealing, and a strategy to reduce uncertainty in their life.5
Usually, the decision to have a child is taken within a couple and therefore influenced by both partners’ labor market conditions. In general, living with a partner certainly increases the chances of having a child and also the male partner's employment situation is supposed to be rather relevant (H3-a). His weak attachment to the labor market – either due to unemployment or unstable employment – should reduce childbirth. Given the increasing importance of dual-earner family arrangements for the family's future well-being (also due to the general diffusion of economic and employment uncertainty) we expect that the effect of the woman's employment condition and career enhancement should be at least as relevant as her partner's ones (H3-b).
As noted, this paper focuses on the specific southern European context. Yet, to provide empirical support for our macro-argument, that it is the specific combination of the ‘Latin’ welfare and labor market arrangement that produces the outcomes of employment insecurity on fertility decisions (on the micro-level), we include two additional cases. The first is Germany, a continental welfare state, similar in some respects to the southern European countries, but different in others. Despite the same ‘insurance-based welfare model’, the support available to families through services and – especially – transfers are generally much higher and the segmentation of the labor market follows skills rather than a cohort/age line (Muffels and Luijkx 2008, Barbieri 2009). The second case is the USA, similar (or actually even worse) to Italy and Spain with regard to the almost absence of a welfare state, but very different in terms of labor market fluidity and employment creation capacity. The USA in fact is among the most ‘efficient’ and mobile markets. If our argument about the combination of institutional assets is correct, we should find very limited or no negative effects of unstable employment careers on fertility decisions for these countries (H4).
4. Data and variables
We drew on data from the five panel waves (1997–2005) of the Longitudinal Survey of Italian Families (ILFI – Indagine Longitudinale sulle Famiglie Italiane) and the Spanish Survey on Fertility and Values (FVE – Fecundidad y Valores en la España del Siglo XXI, conducted in 2006 by the Centro de Investigaciones Sociologica), where education, work careers, and family dynamics were collected retrospectively on a monthly basis.6 For Germany we used SOEP data – a prospective panel conducted yearly – from 1984 to 2008;7 for the USA we referred to PSID data – from a prospective panel with annual measures of the employment situation8 – using waves from 1979 to 2009. To minimize recall errors and to homogenize women's employment trajectories, we considered only women born from 1951 to 1980. Episodes start at age 15 and end with first childbirth, at the age of 45 or at the date of the interview. Because children are typically planned in advance, all time-varying variables are measured 12 months prior.
Work careers are described using three time-varying indicators: work arrangement, occupational class, and an indicator for the transition from an unstable to a permanent employment position. The classification of work arrangements included various aspects of the employment position. We draw on detailed information regarding the type of employment (dependent or self-employment), the type of contract for dependent workers (permanent, fixed-term, training contract, seasonal and off-the-books), the type of self-employment (with or without employees, freelancer and entrepreneur), whether the work was seasonal or occasional, and the specifics of the occupation based on four-digit ISCO codes, when available. We distinguish four types of employment situation: permanent employment, self-employment, atypical employment, and other ‘non-standard’ jobs (mainly seasonal and off-the-books). Permanent wage workers and the self-employed are two groups that, as shown elsewhere (Barbieri and Bison 2004), have similarly stable labor market trajectories in southern Europe. Atypical employment is represented by fixed-term workers and (only for Italy) pseudo-self-employed workers; that is, those workers who perform tasks on a self-employed basis in subordinate positions (consultants and freelancers). A standard social class schema (EGP of the individual, time-varying) is employed as a proxy of more general economic well-being. For comparability reasons, unemployment and inactivity episodes are collapsed into a residual category called ‘out of work’.
The data allow controlling for the presence of a partner through the woman's entire observed life course. However, the partner's occupational information refers to the partner at the time of the interview. As ‘couple stability’ in Mediterranean countries is still relatively high, the distortion should be limited. In the Spanish data, the male's work situation is measured only at the time of the interview, whereas in the Italian data it was possible to retrospectively reconstruct the present partner's work career. We control for partner's occupational characteristics, namely social class and work arrangement and their possible effects on childbirth. To rule out endogeneity of marriage and first childbirth, as suggested in the literature (Gutiérrez-Domènech 2006), we also replicated the analyses for a sample of women who had already been in a partnership at least one year before the first birth – without notable changes.
Our analysis excludes the period of the financial and economic crisis and thus avoids the risk of our results being distorted by these unfavorable developments. To consider previous business cycle effects, models control for youth unemployment rate (15–25, OECD data) at the country level, which is highly sensitive to economic fluctuations. In general, high unemployment levels reduce the (expected) welfare of the population through employment uncertainty and lower expected income (Adserà 2004). It thus negatively affects fertility decisions.9
Controls include socio-demographic characteristics (age, age squared, birth cohorts, region of birth (NUTS), and the number of siblings at age 14), labor market entry cohort, area of residence, social class (measured at first job), level of education based on the Casmin scale, and an indicator of having left the educational system.10 The relevance for demographic dynamics of the latter is well established and reflects a substantial incompatibility between enrollment in education and setting up a family (Blossfeld and Timm 2003; Golsch 2003). Education is measured at the time of the interview11 which is appropriate for Italy and Spain, where life courses are still quite standardized sequentially (Hoem and Kreyenfeld 2006) and coming back to education later in the life course is very uncommon (Barbieri et al. 2014).
We employ discrete time event history models (Yamaguchi 1991) to estimate the effects of the labor market and work status on first childbirth. For the analysis of the overall family situation, we estimated simultaneous probit models on the likelihood at age 30 of having (i) a partner and (ii) a child. Previous research has shown a significant positive correlation between the underlying dynamics of fertility and marriage choices (Baizan et al.2003). Simultaneous models allow taking into account the interrelation of the two outcomes. We also investigate the (negative) effect of a ‘precarious employment history’ (the ‘atypical employment carousel’), which means either having spent at least three years in atypical contracts or having accumulated at least three job episodes with unstable contracts.
5. Results: the rise of a Latin model
Predicted probabilities to become mother – discrete time model Table 1 – M3
Source: ILFI, FVE, G-SOEP, PSID. Predicted probabilities based on multivariate discrete time duration model (see Table 1 and Table 1A in appendix for details). Please note the different scales of the graphs (monthly for Italy and Spain, annual for Germany and the USA)
Predicted probabilities to become mother – discrete time model Table 1 – M3
Source: ILFI, FVE, G-SOEP, PSID. Predicted probabilities based on multivariate discrete time duration model (see Table 1 and Table 1A in appendix for details). Please note the different scales of the graphs (monthly for Italy and Spain, annual for Germany and the USA)
In both southern European countries, as expected (H1-a) women with atypical employment contracts are significantly less likely to enter maternity, with the distance to permanently employed women being particularly pronounced (and statistically significant) in the typical reproductive age range. This underlines the work–family trade-off concentrated on the less protected working women in southern Europe. Yet, these fertility differences among women's employment situations are not found in Germany or the USA, confirming our expectations about the importance of the institutional context (H4) and the effectiveness of what we labeled a ‘Latin’ model of welfare-labor market-fertility interaction.
In the following, we discuss the specific micro determinants of becoming a mother (Table 1). The well-known progressive delay of maternity over cohorts is also confirmed by our models. In Italy and Spain the youngest cohorts of women are clearly less likely to enter maternity, also after controlling for age. Change over cohorts is more gradual in Italy, whereas in Spain the decline/postponement of motherhood is particularly pronounced for the youngest cohort.
. | Italy . | Spain . | ||||
---|---|---|---|---|---|---|
M1 . | M2 . | M3 . | M1 . | M2 . | M3 . | |
Age | 0.10*** | 0.10*** | 0.08*** | 0.08*** | 0.08*** | 0.05*** |
Age squared | −0.00*** | −0.00*** | −0.00*** | −0.00*** | −0.00*** | −0.00*** |
Birth cohorts (ref: 1951–1955) | ||||||
1956–1960 | 0.03 | 0.03 | 0.10 | 0.28*** | 0.26*** | 0.13 |
1961–1965 | −0.22* | −0.20* | −0.04 | 0.20** | 0.17** | 0.03 |
1966–1970 | −0.44*** | −0.42*** | −0.10 | −0.01* | −0.04 | −0.17** |
1971–1980 | −1.26*** | −1.16*** | −0.76*** | −0.35*** | −0.36*** | −0.47*** |
Level of education (ref: Casmin = 1) | ||||||
Casmin = 2 | −0.86*** | −0.67*** | −0.44*** | −0.42*** | −0.06 | −0.13* |
Casmi = 3 | −1.22*** | −0.53*** | −0.02 | −1.02*** | −0.36*** | −0.29*** |
Out of educational system | 0.72*** | 0.56*** | 0.55*** | 0.49*** | 0.46*** | 0.40*** |
Work arrangement (ref: Permanent work) | ||||||
Self-employed | −0.11 | −0.01 | −0.03 | 0.25** | 0.33*** | 0.22 |
Atypical contracts | −0.26** | −0.26 | −0.16 | −0.34*** | −0.05 | −0.05 |
Other | −0.31*** | −0.34*** | −0.08 | 0.43*** | 0.49*** | 0.45*** |
Out of work | 0.12 | 0.19* | 0.15 | 0.18** | 0.44*** | 0.23** |
EGP (ref: V + VI + VII) | ||||||
I + II | 0.78*** | 0.33 | 0.15 | 0.80*** | 0.45*** | 0.26* |
IIIa | 0.37*** | 0.15 | 0.07 | 0.39*** | 0.31*** | 0.22** |
IIIb | −0.20* | −0.24** | −0.15 | 0.09 | 0.08 | 0.04 |
IV | −0.06 | −0.21 | −0.24 | 0.06 | −0.05 | −0.26 |
Transition to secure work | 0.43*** | 0.39*** | 0.39*** | 0.11* | 0.05 | 0.09* |
Unempl. rate (15–24) | −0.03*** | −0.03*** | −0.03*** | −0.02*** | −0.02*** | −0.01*** |
Have a partner | 2.25*** | 1.93*** | ||||
Interactions: | ||||||
Atypical*1971–1980 | −2.11*** | −2.27*** | −0.05 | −0.03 | ||
Atypical*casmin = 2 | 0.39 | 0.30 | −0.70*** | −0.59*** | ||
Atypical*casmin = 3 | −0.17 | −0.47** | −0.91*** | −0.81*** | ||
Out of work*casmin = 2 | −0.31** | −0.18 | −0.50*** | −0.40*** | ||
Out of work*casmin=3 | −1.43*** | −1.27*** | −1.09*** | −0.92*** | ||
Constant | −20.22*** | −20.42*** | −16.48*** | −17.26*** | −17.41*** | −13.47*** |
Number of subjects | 2952 | 2952 | 2952 | 4702 | 4702 | 4702 |
Observations | 417,365 | 417,365 | 417,365 | 680,272 | 680,272 | 680,272 |
. | Italy . | Spain . | ||||
---|---|---|---|---|---|---|
M1 . | M2 . | M3 . | M1 . | M2 . | M3 . | |
Age | 0.10*** | 0.10*** | 0.08*** | 0.08*** | 0.08*** | 0.05*** |
Age squared | −0.00*** | −0.00*** | −0.00*** | −0.00*** | −0.00*** | −0.00*** |
Birth cohorts (ref: 1951–1955) | ||||||
1956–1960 | 0.03 | 0.03 | 0.10 | 0.28*** | 0.26*** | 0.13 |
1961–1965 | −0.22* | −0.20* | −0.04 | 0.20** | 0.17** | 0.03 |
1966–1970 | −0.44*** | −0.42*** | −0.10 | −0.01* | −0.04 | −0.17** |
1971–1980 | −1.26*** | −1.16*** | −0.76*** | −0.35*** | −0.36*** | −0.47*** |
Level of education (ref: Casmin = 1) | ||||||
Casmin = 2 | −0.86*** | −0.67*** | −0.44*** | −0.42*** | −0.06 | −0.13* |
Casmi = 3 | −1.22*** | −0.53*** | −0.02 | −1.02*** | −0.36*** | −0.29*** |
Out of educational system | 0.72*** | 0.56*** | 0.55*** | 0.49*** | 0.46*** | 0.40*** |
Work arrangement (ref: Permanent work) | ||||||
Self-employed | −0.11 | −0.01 | −0.03 | 0.25** | 0.33*** | 0.22 |
Atypical contracts | −0.26** | −0.26 | −0.16 | −0.34*** | −0.05 | −0.05 |
Other | −0.31*** | −0.34*** | −0.08 | 0.43*** | 0.49*** | 0.45*** |
Out of work | 0.12 | 0.19* | 0.15 | 0.18** | 0.44*** | 0.23** |
EGP (ref: V + VI + VII) | ||||||
I + II | 0.78*** | 0.33 | 0.15 | 0.80*** | 0.45*** | 0.26* |
IIIa | 0.37*** | 0.15 | 0.07 | 0.39*** | 0.31*** | 0.22** |
IIIb | −0.20* | −0.24** | −0.15 | 0.09 | 0.08 | 0.04 |
IV | −0.06 | −0.21 | −0.24 | 0.06 | −0.05 | −0.26 |
Transition to secure work | 0.43*** | 0.39*** | 0.39*** | 0.11* | 0.05 | 0.09* |
Unempl. rate (15–24) | −0.03*** | −0.03*** | −0.03*** | −0.02*** | −0.02*** | −0.01*** |
Have a partner | 2.25*** | 1.93*** | ||||
Interactions: | ||||||
Atypical*1971–1980 | −2.11*** | −2.27*** | −0.05 | −0.03 | ||
Atypical*casmin = 2 | 0.39 | 0.30 | −0.70*** | −0.59*** | ||
Atypical*casmin = 3 | −0.17 | −0.47** | −0.91*** | −0.81*** | ||
Out of work*casmin = 2 | −0.31** | −0.18 | −0.50*** | −0.40*** | ||
Out of work*casmin=3 | −1.43*** | −1.27*** | −1.09*** | −0.92*** | ||
Constant | −20.22*** | −20.42*** | −16.48*** | −17.26*** | −17.41*** | −13.47*** |
Number of subjects | 2952 | 2952 | 2952 | 4702 | 4702 | 4702 |
Observations | 417,365 | 417,365 | 417,365 | 680,272 | 680,272 | 680,272 |
Note: Models control also for: birth zone, number of siblings, and missing data.
***p < .01.
**p < .05.
*p < .1.
The cohort effect interacts with the influence of employment insecurity on women's fertility behavior, with minor differences between Italy and Spain. As expected, being atypically employed has a negative effect on women's transition to maternity in southern Europe. This effect is particularly strong for the youngest Italian cohorts (1971–1980) whereas in Spain the interaction between birth cohorts and atypical employment, although of the expected sign, does not reach statistical significance.
Cohort effects thus prevail in Italy while in Spain, where the deregulation began a decade earlier, the delaying effect of employment in the secondary labor market is moderated by women's individual human capital and is stronger among women with secondary and tertiary education.12
A positive effect of the stabilization of women's working conditions (transition from atypical employment to a permanent position) is confirmed in both countries (H1-b). Entering the primary, guaranteed, labor market strongly increases the likelihood of motherhood in Italy, also after controlling for the presence of a partner. The effect is less robust for Spanish women.
In both countries, individual economic conditions, as approximated by the woman's social class position, play an important role in supporting fertility decisions. This effect is particularly robust in Spain, where, controlling for education and its interaction with work arrangements (Model 2), highly qualified and service-class working women demonstrate faster transitions to the first child than do lower class working women.
Coming to the role of women's education as key factor of the work–family balance, our data confirm the general expectation that higher education is associated with later transition to maternity. The delay, as expected in H2, is even stronger when holding an atypical or no employment position. In particular in Spain, highly educated women who are either precariously employed or out of work are found to postpone their transition to motherhood, while non-working low-educated women show higher chances of becoming a mother sooner. Thus, well-educated women delay maternity even more when they are in poor or insecure employment positions, whereas less-well-educated women seem more inclined to assume a traditional family role. This role of education is confirmed in Italy for tertiary-educated women in precarious positions or out of work, although the interaction effect is slightly less stable across different formulations of our models (Table 1, Model 2 vs. Model 3). Overall, for these two countries the results are consistent with both the independence hypothesis and with Friedman's hypothesis (Friedman et al.1994) concerning the connection between education, the experience of labor market uncertainty, and fertility behavior.13 Thus, education plays a crucial role for fertility decisions and moderates the effects of unstable employment positions on women's fertility behavior.
Interestingly, limiting the analyses to women living with a partner does not alter the role of education (Table 2): a better-educated woman, independently of the presence of a partner and his employment and economic situation, delays motherhood when she is precariously employed or out of work (interactions in Table 2) while this is not the case if she is not a secondary labor market worker (as the main effects of education, reported in Table 2, refer to women not in an atypical position): in Italy, tertiary-educated women not employed in the secondary labor market, enter motherhood even more quickly.
. | Only women with a partner at t-12 . | |||
---|---|---|---|---|
Italy . | Spain . | |||
M1 . | M2 . | M1 . | M2 . | |
Partner's work arrangement (ref: permanent work) | ||||
Self-employed | −0.02 | −0.16 | ||
Atypical work | −0.24 | −0.14 | ||
Other | 0.42** | 0.13 | ||
Out of work | −0.49** | −0.33*** | ||
No info | −0.12 | −0.69*** | ||
Partner's EGP (V + VI + VII) | ||||
I + II | −0.14 | 0.00 | ||
IIIa | 0.01 | −0.07 | ||
IIIb | −0.22 | 0.06 | ||
IV | 0.08 | 0.08 | ||
Women: | ||||
Level of education (ref: Casmin = 1) | ||||
Casmin = 2 | −0.22* | −0.20 | −0.02 | −0.01 |
Casmin = 3 | 0.41** | 0.45** | −0.07 | −0.06 |
Work arrangements (ref: permanent employment) | ||||
Self-employed | 0.20 | 0.24 | −0.01 | −0.02 |
Atypical contracts | 0.18 | 0.31 | −0.16 | −0.19 |
Other | 0.01 | −0.01 | −0.11 | −0.04 |
Out of work | −0.02 | −0.01 | −0.06 | −0.06 |
No info on the timing | 0.06 | 0.08 | ||
EGP(ref: V + VI + VII) | ||||
I + II | −0.10 | −0.07 | 0.03 | 0.06 |
IIIa | 0.06 | 0.08 | 0.07 | 0.10 |
IIIb | −0.10 | −0.09 | −0.02 | −0.01 |
IV | −0.43 | −0.47 | −0.20 | −0.17 |
Transition to stable employment | 0.43** | 0.43*** | −0.21** | −0.23** |
Interactions (women): | ||||
Atypical*1971–1980 | −2.59*** | −2.60*** | −0.04 | −0.04 |
Atypical*casmin = 2 | 0.55 | 0.44 | −0.38** | −0.35* |
Atypical*casmin = 3 | −0.48** | −0.58** | −0.74*** | −0.77*** |
Out of work*casmin = 2 | 0.09 | 0.11 | −0.41*** | −0.39*** |
Out of work*casmin = 3 | −0.42** | −0.36** | −0.70*** | −0.66*** |
Constant | −8.70*** | −8.88*** | −7.77*** | −6.94*** |
Number of subjects | 1257 | 1257 | 2757z | 2757 |
Observations | 44,656 | 44,656 | 111,306 | 111,306 |
. | Only women with a partner at t-12 . | |||
---|---|---|---|---|
Italy . | Spain . | |||
M1 . | M2 . | M1 . | M2 . | |
Partner's work arrangement (ref: permanent work) | ||||
Self-employed | −0.02 | −0.16 | ||
Atypical work | −0.24 | −0.14 | ||
Other | 0.42** | 0.13 | ||
Out of work | −0.49** | −0.33*** | ||
No info | −0.12 | −0.69*** | ||
Partner's EGP (V + VI + VII) | ||||
I + II | −0.14 | 0.00 | ||
IIIa | 0.01 | −0.07 | ||
IIIb | −0.22 | 0.06 | ||
IV | 0.08 | 0.08 | ||
Women: | ||||
Level of education (ref: Casmin = 1) | ||||
Casmin = 2 | −0.22* | −0.20 | −0.02 | −0.01 |
Casmin = 3 | 0.41** | 0.45** | −0.07 | −0.06 |
Work arrangements (ref: permanent employment) | ||||
Self-employed | 0.20 | 0.24 | −0.01 | −0.02 |
Atypical contracts | 0.18 | 0.31 | −0.16 | −0.19 |
Other | 0.01 | −0.01 | −0.11 | −0.04 |
Out of work | −0.02 | −0.01 | −0.06 | −0.06 |
No info on the timing | 0.06 | 0.08 | ||
EGP(ref: V + VI + VII) | ||||
I + II | −0.10 | −0.07 | 0.03 | 0.06 |
IIIa | 0.06 | 0.08 | 0.07 | 0.10 |
IIIb | −0.10 | −0.09 | −0.02 | −0.01 |
IV | −0.43 | −0.47 | −0.20 | −0.17 |
Transition to stable employment | 0.43** | 0.43*** | −0.21** | −0.23** |
Interactions (women): | ||||
Atypical*1971–1980 | −2.59*** | −2.60*** | −0.04 | −0.04 |
Atypical*casmin = 2 | 0.55 | 0.44 | −0.38** | −0.35* |
Atypical*casmin = 3 | −0.48** | −0.58** | −0.74*** | −0.77*** |
Out of work*casmin = 2 | 0.09 | 0.11 | −0.41*** | −0.39*** |
Out of work*casmin = 3 | −0.42** | −0.36** | −0.70*** | −0.66*** |
Constant | −8.70*** | −8.88*** | −7.77*** | −6.94*** |
Number of subjects | 1257 | 1257 | 2757z | 2757 |
Observations | 44,656 | 44,656 | 111,306 | 111,306 |
Note: Models controls for age, age squared, zone, number of siblings, and missing data.
***p < .01.
**p < .05.
*p < .1.
Results also support the expectations about the relevance of the partner's presence and his employment situation (H3-a). A non-employed partner appears to be an obstacle to a woman's motherhood (Table 2). In both countries, male non-employment undermines the capacity of the entire household to reach a stable economic situation. Our results are congruent with the findings of other studies on the role of the male's employment situation for the family in sub-protective welfare systems and the postponement of fertility decisions coming with uncertainty (Oppenheimer et al.1997).14
Though previous research underlined that marriage and childbirth would almost coincide, at least for the youngest cohorts, (Baizan et al.2003) in Italy, but timing of marriage and first child were less linked in Spain, our main results regarding the negative effect of her employment situation are also confirmed among women with a partner in both countries: effects concentrate on the younger cohorts in Italy and the higher educated in both countries; and transiting to a secure work position increases the couples chance to have a baby in Italy.
To complete the picture, we now consider the possible effect of an unstable (and precarious) employment history and show whether and how women's prolonged employment uncertainty comes with an ‘incomplete family formation’, that is singlehood and/or childlessness at age 30. We define as ‘entrapped’ in a secondary labor market those women who have spent at least three years working with atypical contracts15 or who had three or more episodes of atypical employment before the age of 30; in this way approximately 8% of our sample result ‘entrapped’. Obviously, the analysis is limited to women who entered the labor market. Results in Table 3 confirm that women's chances of having a partner and/or child(ren) at the age of 30 are strongly negatively associated with precarious careers ‘entrapped’ in the secondary, sub-protected labor market. To ease interpretation, Table 4 presents the predicted probabilities (based on models in Table 3) of living in a couple and/or being a mother at the age of 30, for different profiles of women. Differences in the predicted probabilities are rather pronounced and similar in both southern European countries. Only approximately 40% of women with precarious careers have both a partner and child(ren) at age 30, compared to about 55% of women with more stable careers. And even when living in a partnership, their probability of having a child are significantly lower than for women with more stable careers. Evidently, precarious employment situations hinder family formation and fertility in southern Europe. That this is not necessarily the general case, but depends on the specific ‘Mediterranean’ situation emerges from the comparison with Germany and the USA, where there is no such negative effect whatsoever. On the contrary, in part we even observe faster family formation for non-standard paths (Table 4A in appendix).16
Italy . | Have child(ren) . | Have a partner . | Spain . | Have child(ren) . | Have a partner . |
---|---|---|---|---|---|
b . | b . | b . | b . | ||
‘Entrapped’ | −0.24** | −0.25** | ‘Entrapped’ | −0.44*** | −0.14 |
Labor Market Entry (ref: before 1985) | Labor Market Entry (ref: before 1985) | ||||
1985–1997 | −0.65*** | −0.41*** | 1985−97 | −0.39*** | −0.08 |
after 1998 | −1.24*** | −0.69*** | after 1998 | −0.83*** | −0.26* |
Constant | 0.61** | 0.94*** | Constant | 0.78*** | 0.58*** |
N = 1537 rho = 0.89 (0.02) | N = 2317 rho = 0.62 (0.03) |
Italy . | Have child(ren) . | Have a partner . | Spain . | Have child(ren) . | Have a partner . |
---|---|---|---|---|---|
b . | b . | b . | b . | ||
‘Entrapped’ | −0.24** | −0.25** | ‘Entrapped’ | −0.44*** | −0.14 |
Labor Market Entry (ref: before 1985) | Labor Market Entry (ref: before 1985) | ||||
1985–1997 | −0.65*** | −0.41*** | 1985−97 | −0.39*** | −0.08 |
after 1998 | −1.24*** | −0.69*** | after 1998 | −0.83*** | −0.26* |
Constant | 0.61** | 0.94*** | Constant | 0.78*** | 0.58*** |
N = 1537 rho = 0.89 (0.02) | N = 2317 rho = 0.62 (0.03) |
Note: models control for age, education, social class and region of residence, all measured at first job.
***p < .01.
**p < .05.
*p < .1.
Italy . | Spain . | ||||||
---|---|---|---|---|---|---|---|
Family arrangement . | Family arrangement . | ||||||
Partner . | Child(ren) . | ‘Entrapped’ . | Stable career . | Partner . | Child(ren) . | ‘Entrapped’ . | Stable career . |
Yes | Yes | 0.41 [0.38–0.44] | 0.58 [0.57–0.59] | Yes | Yes | 0.39 [0.37–0.42] | 0.53 [0.52–0.54] |
Yes | No | 0.17 [0.15–0.18] | 0.13 [0.13–0.14] | Yes | No | 0.30 [0.29–0.32] | 0.20 [0.19–0.20] |
No | Yes | 0.03 [0.02–0.03] | 0.03 [0.03–0.03] | No | Yes | 0.04 [0.04–0.05] | 0.07 [0.07–0.07] |
No | No | 0.40 [0.37–0.42] | 0.26 [0.25–0.27] | No | No | 0.25 [0.23–0.27] | 0.19 [0.18–0.19] |
Italy . | Spain . | ||||||
---|---|---|---|---|---|---|---|
Family arrangement . | Family arrangement . | ||||||
Partner . | Child(ren) . | ‘Entrapped’ . | Stable career . | Partner . | Child(ren) . | ‘Entrapped’ . | Stable career . |
Yes | Yes | 0.41 [0.38–0.44] | 0.58 [0.57–0.59] | Yes | Yes | 0.39 [0.37–0.42] | 0.53 [0.52–0.54] |
Yes | No | 0.17 [0.15–0.18] | 0.13 [0.13–0.14] | Yes | No | 0.30 [0.29–0.32] | 0.20 [0.19–0.20] |
No | Yes | 0.03 [0.02–0.03] | 0.03 [0.03–0.03] | No | Yes | 0.04 [0.04–0.05] | 0.07 [0.07–0.07] |
No | No | 0.40 [0.37–0.42] | 0.26 [0.25–0.27] | No | No | 0.25 [0.23–0.27] | 0.19 [0.18–0.19] |
6. Conclusions
This paper focused on the consequences of employment insecurity on fertility decisions in Italy and Spain and, thus, on the consequences of increased labor market deregulation. Results confirm that in these countries atypical employment experiences (either being precariously employed or having being locked in the secondary labor market) reduce the probability of becoming a mother. In Italy, this is particularly true for the youngest cohorts of women, which are affected by the diffusion of employment instability or even prolonged precariousness through increased labor market de-regulation.
In this sense, labor market flexibilization in the ‘Latin’ countries had serious demographic consequences and led to postponed motherhood. In addition, the negative influence on fertility of atypical employment, as well as of non-employment, is mainly concentrated on highly educated women (in Spain also on those with medium levels of education), while less-well-educated women, especially when unstably employed, seem to opt for motherhood much sooner. The career prospects tied to women's human capital endowment thus appear to play a decisive role for the timing of the first birth in southern European countries. We consequently find confirmation for the main hypothesis regarding the negative impact of employment instability on demographic transitions and the moderation of this effect by human capital of the women. Confirmation that we are observing purposeful delay also comes from the fact that transiting to a secure employment position strongly increases the chance of becoming a mother, especially in Italy. Furthermore, in the Mediterranean context, the presence of an employed partner positively affects the transition to motherhood. Though the partner's employment appears to be a prerequisite for parenthood, his social class does not play a significant role, while a woman's mid-to-high social class clearly supports the transition to motherhood. The analysis therefore supports the idea of an increasing relevance of a dual-earner family equilibrium for economic well-being (Daly 2011, Esping-Andersen et al. 2013), with the effect of women's employment and occupational conditions becoming increasingly relevant not only for the general household situation, but also for the economic and demographic equilibria of a society.
We argue that this negative spillover of employment instability on family formation has institutional origins and is rooted in the insider–outsider configuration of welfare and labor market arrangements. The combination of a sub-protective welfare system characterized on the one hand by only residual support to young persons (who are thus in their family formation period) and insurance-based social rights, but with a strongly segmented labor market on the other hand, makes employment instability an inhibitor for setting up a family – with severe long-term consequences for demographic aging, not to mention other relevant societal inequality aspects, like gender disparities. These negative effects on fertility have been exacerbated by the partial and targeted labor market deregulation. We provide empirical support for the claim on the macro context by showing that neither in Germany – a country with segmented labor market but more generous welfare, nor the USA – a country with residualistic welfare support but a more flexible labor market, does employment insecurity/precarity have any negative effects at all on motherhood. Numerous studies have emphasized the importance of institutional factors for employment and for family formation, underlining also the mutual embeddedness of labor market and welfare state. We argued that southern Europe displays a specific pattern due to the lack of welfare support in combination with labor market segmentation. We have shown that in this context employment instability also comes with significant demographic consequences.
Disclosure statement
No potential conflict of interest was reported by the authors.
Supplemental data
The appendix for this article can be accessed at 10.1080/14616696.2015.1064147
We consider Italy and Spain, in line with main labor economic and sociological literature, as two institutionally rather similar countries (Bratti and Tatsiramos 2012). We do not enter in a detailed comparison between the two countries on specific aspects, as this is not necessary for our line of argumentation. For the debate see Martín-García (2013) and Naldini and Jurado (2013).
Old-age and insider biases strongly overlap: Pampel (1994) suggested that national institutional arrangements influence the intergenerational distributional clash, which becomes harsher in countries where insiders and pensioners lobbies succeed in affecting pension reforms. Esping-Andersen and Sarasa (2002) showed that the age-bias is especially pronounced in Continental and southern European insider–outsider assets, while Scandinavian social democracies are more youth-biased.
Saraceno and Keck (2011) spoke about “familialism by default” referring to the Mediterranean situation.
We use the terms ‘atypical’, ‘flexible’ and ‘unstable’ as synonyms.
Friedman et al. (1994) sustain that rational actors will regularly prefer the conditions that allow them to reduce the level of incertitude they experience in their life course. In this view, prospects for stable and successful careers will have a negative effect on the propensity for parenthood, because achieving a good work position represents a more effective way of reducing personal uncertainty than motherhood – for those who actually have these prospects, that is, highly educated women. Those who face greater uncertainty in their work careers with little chance of improving their situation or with reduced access to other means of reducing uncertainty, that is, the less-well educated, may choose parenthood as a strategy to structure their otherwise uncertain life course (Kreyenfeld 2010) and thus earlier motherhood decisions are a response to uncertain employment.
In the Spanish database, minor problems were encountered with starting and ending dates for job episodes. For the 8.03% of women with work experience (as gathered in our subsample), we have no information on the timing of the work career. We signal these cases with a dummy = “no information on the timings of work career”. For approximately 5% of the job spells in the entire sample, only the starting date was available. Thus, the ending date was imputed based on the estimated median duration given the type of contract. Excluding these missing cases from the analyses did not produce significant differences in our results.
The analyses refer to unified Germany, but control for Laender fixed-effects. Differences among the Laender go in the expected direction and regard the intercept rather than the effects of employment instability on motherhood. In fact, we do not find any hint that employment instability would play a different role in the two parts of Germany, but differences exist regarding non-employment, which only in the western part speeds up motherhood (results available upon request).
The survey was conducted yearly until 1997 and then every two years.
As expected, adverse macro-economic conditions – namely, labor market inefficiency and lack of economic growth and job creation, as proxied by high youth unemployment rates – negatively affect the process of family formation. The influence of youth unemployment rates on the transition to the first child is persistently negative in our models, independently of all controls.
Controlling for educational enrollment alters the effects of age, education and partnership; however, variables are not collinear.
In the Italian database, information is available on education. We estimated models using education both as time-varying and time-invariant covariates. The results do not change significantly. For comparability issues, we used time-invariant covariates for education.
Although the overall impact of employment flexibility is rather similar between Italy and Spain, we observe a different set of micro mechanisms at play in the two countries, affecting the speed of the transition to maternity. This underlines the differences between the two countries, which may well be due to different timings in the deregulation processes, different economic and labour markets dynamics, etc. which we cannot analyze in more detail here, given the limited number of cases.
Education appears to be of no relevance at all in the USA, whereas the results for Germany are rather similar to those reported for Italy and Spain, with the exception that atypical employment does not affect fertility decisions for any of the educational levels.
We observe that, in Italy, families where the male partner is employed as an informal or seasonal worker (the “other” category) seem to be faster in becoming parents: a result that, most likely, is due to specific characteristics and situations of these persons.
The median duration of a spell of “atypical employment” for women is 22 months in Italy and 19 in Spain.
In the case of the USA and Germany it is likely that (part) of this faster family formation of the atypically employed is due to a self-selection of less employment-oriented women in secondary labor markets. In Mediterranean countries, where institutional determinants prevail over individual traits, that is, risks for atypical employment are very much institutionally structured, unobserved heterogeneity should be less of an issue. These different compositions of groups are, not least, the result of the different macro-institutional contexts.
References
Paolo Barbieri is professor in Economic Sociology at the University of Trento, where he is working on labor markets and welfare in a comparative perspective.
Rossella Bozzon is a postdoc research fellow at the Department of Sociology and Social Research, University of Trento. Her research interests focus on labor market careers and life course research in a comparative perspective.
Stefani Scherer is professor in Sociology at Trento University. Her main interest is in social inequality and life course research in international comparison.
Raffaele Grotti is Ph.D. student in Sociology and Social Research at the University of Trento.
Michele Lugo is a postdoctoral researcher at the University of Trento.
Author notes
Paolo Barbieri, Rossella Bozzon and Stefani Scherer (in alphabetical order) are the main authors. Raffaele Grotti and Michele Lugo provided the analyses respectively on the German and the United States cases.