Literature DB >> 26110106

Reallocation of resources between generations and genders in the market and non-market economy. The case of Italy.

Marina Zannella1.   

Abstract

In this article the National Transfer Accounts (NTA) method is used to develop a comprehensive account of resource reallocations between population members in Italy, encompassing the age and the gender perspective, the public and the familial institutional sectors as well as the market and non-market dimensions of the economy. The inclusion of the non-market economy, referring to household and care time, allows for an insight into the gender division of labour and the strength of intergenerational obligations in the Italian familistic welfare regime. Results highlight the existence of large flows of resources within the family both between genders and toward young generations, with men and women giving rise to considerable monetary and time transfers, respectively.

Entities:  

Keywords:  Economic transfers; Gender; Household production; Intergenerational relationships; Time use

Year:  2015        PMID: 26110106      PMCID: PMC4469371          DOI: 10.1016/j.jeoa.2014.09.003

Source DB:  PubMed          Journal:  J Econ Ageing        ISSN: 2212-828X


Introduction

Increasing life expectancies and low fertility are determinants of population ageing in industrialized countries. This process appears to be particularly severe in Italy, which shows the second highest share of population aged 65+ (21.2%) and old-age dependency ratio (32.7%) among European countries (Eurostat, 2014a). The scenario is expected to exacerbate in the future: according to Eurostat projections for 2050, the old-age dependency ratio will increase by 60% (Eurostat, 2014b). Ageing poses relevant questions in terms of intergenerational relationships and equity, which are at the heart of the challenges contemporary welfare states are faced with. The debate on intergenerational equity has been mostly focusing on the public sector, with particular regard to fiscal sustainability (e.g. Auerbach et al., 1994). The main argument is whether the growing cost of old-age pensions and health care would excessively bias public transfers and overburden the working-age population, giving rise to a “generational conflict” (Preston, 1984). Nevertheless, a large body of literature has stressed the key role of families in the redistribution of resources across generations, highlighting the existence of strong ties and solidarity (for a review see Arber and Attias-Donfut, 2000). The National Transfer Accounts (NTA) project (www.ntaccounts.org) has been the first effort to comprehensively measure and analyze intergenerational reallocations, including both the private and the public sector. The NTA method (United Nations, 2013) is based on the disaggregation of macro-economic measures by age and provides information on what people produce, consume, save, transfer and receive at different stages of the life course. Introducing age into national accounts, NTA greatly contributes to shed light on the “generational economy” that is the combination of mechanisms and institutions used to finance consumption at different ages and the contract, either formal or informal, regulating intergenerational economic relationships and reallocations (Lee and Mason, p. 7, 2011) The “generational contract” (Bengtson and Achenbaum, 1993; Walker, 1996) relies, in turn, on a gender contract, “a set of implicit and explicit rules governing gender relations which allocate different work and value, responsibilities and obligations to men and women and is maintained on three levels – cultural superstructure – the norms and values of society; institutions – family welfare, education and employment systems, etc.; and socialisation processes, notably in the family” (European Commission, 1998). Gender division of paid and unpaid work is virtually universal, albeit at drastically different levels across countries. Women, beside their increasing participation in the labour market, continue to play a key role in household production generating many resources, in the form of goods and services, which are distributed across the family to meet the needs of its members. Despite its undeniable social value, unpaid domestic work and, thus, non-cash familial contribution to the welfare, is not recognized as an economic activity, and consequently, is invisible in the System of National Accounts ((SNA) United Nations, 1953). The exclusion of household production from SNA has long been criticized for underestimating the value of total production and, in particular, of that of women who have been traditionally committed in housework and family care. A main concern regards the perpetuation of gender inequalities, which is supported by the very strong argument that “there is a very simple equation operating here: if you are invisible in a nation’s economy, you are invisible in the distribution of benefits” (Waring, 1999). The SNA revision (United Nations, 1993) has partly embraced those criticisms, suggesting the development of satellite accounts for household production. The idea has been reinforced by the United Nations Fourth World Conference on Women’s final recommendations (United Nations, 1995) toward national and international statistical organizations to develop time use surveys (TUS) as a tool to measure and evaluate unpaid domestic work. In recent years, thanks to the increasing availability of TUS, a number of scholars have made important efforts in order to evaluate the extent of household production and to develop satellite accounts (e.g. Goldschmidt-Clermont, 1999; Ironmonger, 1996; Landefeld and Mc Culla, 2000; Holloway et al., 2002; Abraham and Mackie, 2005; Krueger et al. 2009). Household satellite accounts provide us with aggregate measures of unpaid domestic work, and thus ignore the age dimension. However, comparative studies on gender differences in time allocation have highlighted that household production varies significantly during the life course both for men and women, especially in correspondence of key events such as having a child or retirement (Apps and Rees, 2005; Anxo et al., 2007; Zagheni and Zannella, 2013). Recently, within the NTA project, a method has been introduced (Donehower and Mejia-Guevara, 2012) with the twofold objective of further disaggregating measures of market-based intergenerational reallocations by gender and accounting for non-market transfers within the family. The result is the creation of two satellite accounts for age and gender referring to the market and non-market economy, respectively, the latter termed National Time Transfers Accounts (NTTA). This article aims to develop a systematic and comprehensive account of resource reallocations between population members for Italy in the year 2008, encompassing the age and the gender perspective, the public and the private sector and the market and non-market dimensions of the economy. For this purpose, the NTA methodology has been used, ensuring the possibility for the future to compare the results with those of other participating countries. In particular, four main objectives have been established: (i) to estimate intergenerational reallocations occurring within the market, namely constructing NTA for Italy; (ii) to disaggregate NTA measures by gender; (iii) to build an account of non-market transfers across generations and genders within the family, namely constructing NTTA for Italy; (iv) to combine the information related to the market and non-market economy as well as the age and the gender dimension to obtain a complete picture of the economy and of its related redistributive system. The article is organized as follows: Section ‘Principal data and methods’ describes the principal data and methods, distinguishing between those used for market and non-market reallocations. Main results are presented in Sections ‘The Italian age reallocation system: principal results for National Transfer Account’, ‘Introducing gender into National Transfer Accounts’, ‘Accounting for non-market reallocations within the family: National Time Transfer Account’ and ‘Completing the picture of the Italian age and gender reallocation system: some considerations on total economy’. More precisely, Section ‘The Italian age reallocation system: principal results for National Transfer Account’ shows results for the Italian age reallocation system in the market economy, which are extended to gender in Section ‘Introducing gender into National Transfer Accounts’. Section ‘Accounting for non-market reallocations within the family: National Time Transfer Account’ presents estimates of household production, consumption and non-cash familial transfers. Results for the market and non-market economy are then combined in Section ‘Completing the picture of the Italian age and gender reallocation system: some considerations on total economy’, providing a complete picture of the Italian age and gender reallocation system. Section ‘Completing the picture of the Italian age and gender reallocation system: some considerations on total economy’ also presents an application, using demographic projections and estimated age profiles of production and consumption, to analyze the possible economic consequences of future ageing. Finally, Section ‘Discussion and conclusions’ discusses the cross-sectional picture of the economic relationships across generations and genders in Italy for the year 2008, offering an insight on the underlying generational and gender contracts.

Principal data and methods

The economic life cycle, defined by age patterns of consumption and production, is a key concept in the NTA approach. The difference between consumption (C) and labour income (Y) at each age (x) provide us with a measure of the life cycle deficit (LCD) or surplus (LCS). A positive value of this difference indicates the existence of a deficit that must be funded through intergenerational reallocations. Conversely, a negative value indicates a life cycle surplus that can be either transferred to deficit ages or saved. In other words, the LCD or LCS must equal the age reallocations, composed by transfers and asset-based reallocations:where Y is asset income, S is saving, τ+ and τ− are transfers received and paid at each age x. Age reallocations are mediated by both the public and the private sector. The latter consists of transfers between households (also termed inter-households transfers), direct or mediated by non-profit institutions, and transfers within the household (or intra-household transfers). However, in Italy, virtually all private transfers are represented by those occurring between members of the same household. Therefore I will refer to private transfers as familial transfers in this article. Estimating NTA age profiles is a fairly complex process which requires several steps. First, per-capita age profiles are estimated relying on micro-level survey or administrative data. In a second step, aggregate age profiles are calculated by multiplying the per-capita values with the corresponding population size. Hence, at the aggregate level, age profiles reflect both population age structure and per-capita age profiles which, in turn, are largely influenced by the interaction of contextual and behavioural factors (Lee and Mason, 2011). Then, if necessary, age profiles are smoothed using Friedman’s Super Smoother (Friedman, 1984).1 Finally, age profiles are adjusted using a multiplicative factor to ensure their consistency with SNA measures, e.g. the sum over all age groups must equal the corresponding aggregate in SNA. Age and gender reallocations occurring within and outside the market boundaries, given their different nature, require specific treatments and procedures. For this reason, the principal data and method used to construct NTA and NTTA are reported separately in the following sub-sections.

Market-based reallocations, National Transfer Accounts

Constructing NTA is highly data demanding and requires the combination of several different data sources. Therefore, the temporal reference for this article (year 2008) was chosen according to the most recent homogeneous data available. Macro-economic aggregates are taken from the following sources: Sector Accounts (Eurostat, 2008a), Final Consumption Expenditure of Households by Consumption Purpose (Eurostat, 2008b), General Government Expenditure by Function (Eurostat, 2008c) and the European System of Integrated Social Protection Statistics ((ESSPROS) Eurostat 2008d). Estimates of private consumption by age are largely based on Istat (2008a) micro-data from the Household Budget Survey (HBS), while estimates for public consumption are mainly based on administrative records. Labour income includes the compensation of employees (labour earnings, benefits, taxes paid to the government on behalf of employees) and the labour’s share of entrepreneurial income. Age profiles of labour income are estimated using micro data sources provided by Istat (2009)2 in the European Income and Living Condition Survey (EU-SILC). Public transfer inflows consist of benefits received through the social protection system and public consumption. Age profiles of social benefits are estimated using administrative data, micro data from EU-SILC and data provided by ESSPROS. The estimates of public transfer outflows are based on micro-data from EU-SILC and the Survey for Household Income and Wealth ((SHIW) Banca d’Italia, 2008). Private transfers consist of inter-household transfers, direct or mediated by non-profit institutions, and intra-household transfers. Transfers between households are directly estimated from EU-SILC micro-data. As there is no available information on transfers occurring within the household, they must be estimated indirectly. More precisely, intra-household transfers are estimated as the balancing item at each age between private consumption and disposable income. Asset-based reallocations are defined as asset income minus saving. Public asset income and public savings are distributed according to age profiles of taxpayers (public transfer outflows). The age profiles of private asset-based reallocations are estimated using micro data from SHIW. Disaggregating NTA by gender requires the same data sources and procedures already described for “traditional” NTA but estimating sex-specific age profiles instead of only age-specific profiles. Since SNA does not provide macro-economic aggregates by gender, sex specific age profiles are adjusted in order to be consistent with SNA as well as “standard” NTA aggregates.

Non-market reallocations, National Time Transfer Accounts

NTTA sex-specific age profiles of production, consumption and transfers build on micro data from the most recent Italian Time Use Survey (Istat, 2008b) with a sample of 44,606 individuals and 18,250 households. TUS includes three data files: the individual file, the daily diary and weekly diary.3 The daily diary consists of time data collected through the diary technique: respondents record time use during the previous 24 h in their own words. Time diaries are randomly distributed across the days of the week to all household members aged 3 years and over.4 Diaries provide extremely detailed information, including: description of the main activity carried out by the respondent, the possible presence of a parallel secondary activity, the location where the activity was performed and, if applicable, the presence of another person. The first step to build NTTA consists in identifying, in our survey, unpaid domestic and family care activities with an economic value, namely household production. For this purpose, a set of activities was selected relying on the third-party criterion (Reid, 1934), i.e. whether it is possible to pay somebody else to perform the activity. More specifically, I refer to the following activities: food management, household upkeep, making and care for textiles, gardening and pet care, construction and repairs, shopping and services, household management, child care, assistance given to an adult household member, travel related to household and care (e.g. travel related to shopping and services or child care), informal help to other households (consisting in the same activities listed above but performed outside the household mostly as a help to not co-resident relatives). Then, monetary values are assigned to household productive activities on the basis of the specialist replacement method, i.e. using a specific wage for each activity instead of a general wage for all the activities. Specific wages are found in the National Collective Agreement for Domestic Workers (2007). Time use for unpaid production activities is visible in TUS and can therefore be directly estimated from the survey micro data, as the mean time dedicated to the selected activities by sex and age. On the other hand, no information exists about how the time produced is consumed. Therefore, time consumption is estimated through assumptions. The overall time produced within the household is assumed to be equal to the overall time consumed, since no time savings are possible. Time consumption is assumed to vary with age but not with gender. Furthermore, productive activities are distinguished in two main kinds: general and age-targeted activities. The former benefit all members of the household (e.g. cleaning, cooking etc.), while the latter benefit specific age groups (i.e. child care and adult care). Time consumption for household j (C) is expressed as a linear function of the number of its components (N) by age x (see Mankiw and Weil, 1989), with age limits (a and b) varying according to the nature of the considered activity:where a = 0 and b = 90 for general activities; a = 0 and b = 17 for child care; a = 18 and b = 90 for adult care.5 Parameter estimates6 (reported in Tables A1–A3 in the Appendix) are used as weights to assign the production of activities within the household to the consumption of its members by age. Hence, sex specific age profiles of consumption by typology of activity are estimated as the corresponding weighted mean values7 over all the households. Finally, the resulting profiles are applied also to the activities produced outside the household, i.e. informal help to other household, since the age pattern of consumption for these activities is assumed to be similar to that of the corresponding activities produced within the household. As in NTA standard accounts, the difference between consumption and production at each age provides a measure of the life cycle deficit or surplus and must equal age reallocations, which in NTTA consist only of familial transfers since the state does not transfer time directly and, as already mentioned, no savings are possible.

The Italian age reallocation system: principal results for National Transfer Account

Fig. 1 presents the economic life cycle (LC) and the intergenerational reallocation system for Italy (year 2008), including age profiles of labour income, consumption, asset reallocations, private and public transfers. Labour income shows a reverse U-shape. It begins at age 158 and grows fast during young and prime adult ages, reaching a peak of about 30,000 euros at 48 years, then it falls rapidly around age 55. Per-capita age profiles of consumption encompass public and private expenditure. Public and private consumption make up 29% and 71% of total consumption, respectively. Public consumption is made up 19% by education, 35% by health and 45% by public goods. On the other hand, education and health constitute only 4% of private consumption, while the remaining 96% are residual expenditures for current consumption and durables. Consumption shows a peak at age 0, mainly motivated by birth-related health costs. During younger ages, it is characterized by a stepped pattern reflecting public education expenditure. It falls rapidly in correspondence of the end of secondary education and then steadily increases with rising age again.
Fig. 1

The economic life cycle and age reallocations, both genders, Italy 2008.

Not surprisingly, the are two broad age groups for which consumption exceeds the labour income, children and elderly persons, and one age group recording a surplus during working ages. However, the specific age limits of these deficit and surplus groups vary significantly across societies, reflecting the underlying economic, institutional and cultural setting. In Italy, the life cycle deficit (LCD) is positive from age 0 to age 26, while that of elderly persons begins at age 59. Also the kind of reallocations financing the deficit groups vary considerably with age, reflecting both the changing nature of needs during the life path and specific features of the welfare system. In virtually all settings the LCD of children is mainly financed by families, albeit to a different extent; while, the support system for elderly people highlights the existence of more relevant differences across countries (see Lee and Mason, 2011). Italian children are supported by 60% through private transfers, 32% through public transfers and 8% through asset-based reallocations. Youth dependency lasts longer within the family than within the state: young people are net beneficiaries of public transfers until approximately age 20, while of familial transfers until age 30. On the other hand, the LCD in old age is mainly financed by public transfers (67%), 28% are asset-based reallocations and only 5% are private transfers.

Introducing gender into National Transfer Accounts

The inclusion of the gender dimension in the analysis of age reallocations within the market is particularly relevant for Italy, which shows one of the lowest female employment rate in Europe (Eurostat, 2014a) with less than half of the active female population participating in the labour market. As expected, the disaggregation of the economic life cycle by gender (Fig. 2a and b) points out the existence of significant differences both in the qualitative shapes and levels of labour income. Labour income starts to rise earlier for men compared to women and increases rapidly with age, peaking at 49 years with a value of 40,000 euros. On the other hand, women compared to men show considerably lower levels as well as a rather flat age pattern of labour income during most of their working life, with a maximum value of 20,000 euros (half of that of men) reached at 47 years. Gender differences persist also during the latest stages of the life cycle: men labour income at old ages lasts longer compared to women as an effect of self-employment.
Fig. 2

(a) The economic life cycle and age reallocations, Men, Italy 2008. (b) The economic life cycle and age reallocations, Women, Italy 2008.

With respect to the market economy, male young dependency, namely the existence of a life cycle deficit given by a positive difference between consumption and production, lasts until age 24 while old-age dependency starts at age 60 and over (Fig. 2a). Thus, men have a life cycle surplus span of virtually 40 years. On the other hand, women on average are not able to finance their own consumption until age 37 (Fig. 2b). Then, after a surplus lasting for about 20 years, the deficit turns positive again at age 56. It is noteworthy that Italian women, despite their low employment rates, are able to finance their consumption by the mean of labour income for a period of virtually 20 years. This is mostly explained by the existence of a selection effect on women labour market participation: lower levels of remuneration for women compared to men may encourage couples to opt for a male-breadwinner family model, especially in households with young children. Therefore, less qualified women may decide not to enter the labour market, or to leave it prematurely. This seems to be confirmed by data on the gender pay gap ((GPG) Eurostat, 2014c), 9 showing that the two down-top European countries in terms of female employment rates, Malta and Italy, are also among those with the narrowest earnings differential between genders. Differences in sex-specific age profiles of labour income are reflected in age reallocations and, particularly, in those occurring in the form of public and private transfers. With regard to net public transfers men and women have similar qualitative age patterns but with relevant quantitative differences, with the exception of young ages during which they receive the same through education and health programs. During working ages, net public transfers are negative for both genders, indicating that they pay more than what they receive through the public sector, although the values are higher for men compared to women. At older ages, net transfers turn positive and grow rapidly, mostly as an effect of retirement pensions but with significant higher amounts received by men. At young ages men and women show similar patterns also in the case of net private transfers: they are both dependent from older member of the families to finance their consumption. Then, after age 25, their behaviours drastically diverge: net private transfers are negative for women during virtually all their life course, while those of men are positive from age 26 and over. Therefore with regard to market economy, adult men and women are, on average, net contributors and net beneficiaries within the family, respectively.

Accounting for non-market reallocations within the family: National Time Transfer Account

Considering non-market economy changes the picture of gender and intergenerational relationships drastically (Fig. 3). It should be recalled that time consumption is assumed to be independent of gender and that it is estimated at the household level as a linear function of the number of household components by age (see Eq. (2)). This is clearly reflected in the existence of similar shapes of consumption for men and women, although if with slight different levels which have to be considered as an effect of households composition. Therefore, gender differences in the non-market economic life cycle and, consequently, in net transfers mostly depend on production.
Fig. 3

Non market economic life cycle by gender, Italy 2008.

Household production highlights the existence of some common patterns between genders. First, it increases with age, peaking at 66 years for women and 68 years for men, and starting to decrease only after age 80. Second, its age profiles are shaped by two bumps, corresponding to childrearing and retirement ages, respectively. Thus, contrary to what happens in the market, the old population continues to be active in non-market production even during the latest stages of the life cycle. However, the high levels of domestic work produced by elderly persons have to be considered mostly as an effect of the greater amount of time spent at home after withdrawing from the market. Despite the existence of some similarities, women and men show pronounced differences in non-market production during the entire life course. Already at young ages, female children contribute more to domestic chores compared to their male peers. Results for younger ages suggest the existence of a cultural influence on the division of unpaid domestic work: both male and female children are involved in compulsory education and hence, gender differences at this stage of life cannot be explained as the result of different decisions regarding time allocation to productive activities. Afterwards, female production grows very rapidly until it reaches its first hump, between age 30 and 40, to subsequently stabilize at very high levels (on average more than 17,000 euros per year, corresponding to approximately 8 h of domestic work per day) during virtually all the remaining lifetime. On the other hand, men compared to women increase their production with age less significantly and at a slower pace until retirement. The presence for both genders of a bump between age 30 and 40 is a common result in comparative studies on gender differences in time allocation, highlighting the great impact of a young child on parental time dedicated to house chores and child care activities (e.g. Apps and Rees, 2005). Nevertheless, the effect is significantly stronger for women than for men. Those studies have shown that as children grow older, especially after reaching school age, women tend to gradually reduce the time devoted to unpaid domestic work and to increase that spent on market work. However, this is not the case of Italy where age profiles of market and non-market work do not present significant changes during the life course: labour income does not experience a significant recovery and household production continues to show very high values. Results, in line with those reported for Italy in Anxo et al. (2007), suggest the existence of a strong gender specialization and the predominance of families oriented toward a male-breadwinner organization. Looking at differences between non-market consumption and production at the early stages of life, both genders show a life cycle deficit (Fig. 4). In other words, children consume more domestic time than they produce and therefore depend on time transfers from older members of the family to meet their needs.
Fig. 4

Net familiar non market transfers by gender, Italy 2008.

After this initial phase, gender differences become evident: women from age 20 and over produce more time related to domestic activities then they consume, while men consume more domestic time then they produce during the entire life course. Consequently, the male non-market deficit is entirely financed by women. Indeed, it possible to assess the existence of a reverse gender pattern between the market and the non-market economy. Nevertheless, women have a market surplus which allows them, at least, to finance their own consumption during a period of their life, which is not true for men in the non-market economy, within which they are completely dependent upon women

Completing the picture of the Italian age and gender reallocation system: some considerations on total economy

As already mentioned, the strongest effect of the inclusion of the non-market sector in the economy has to be found in production. With reference to the whole population, non-market production raises the value of the total output of economy from approximately 830 to 1450 billion of euros, with an increase of 75%. However, as already highlighted, genders behave very differently in this regard: household production raises the value of production by 36% for men and 144% for women. In order to obtain an in-depth understanding of the generational and gender economy, aggregate values of surplus and deficit ages by gender and economic sector (Table 1) as well as per-capita sex-specific age profiles of the economic life cycle and age reallocations (Fig. 5a–c) are reported.
Table 1

Aggregate values of LCD and LCS by gender and economic sector.

EconomyDeficit of the young
Surplus ages
Deficit of the elderly
MaleFemaleTotalMaleFemaleTotalMaleFemaleTotal
Millions of Euro
Market96991104051201042−200086−4411−204497102453160523262976
Non market44199287297292835756−88725−5296912971−32929−19958
Total141190132780273970−164330−93136−257466115424127594243018
Relative values
Non market/total312227−22952111−26−8

Source: Own elaborations on Banca d’Italia (2008), Eurostat (2008a,b,c,d), Istat (2008a,b, 2009) and various other sources.

Fig. 5

(a) Total economic life cycle and age reallocations, both genders, Italy 2008. (b) Total economic life cycle and age reallocations, Men, Italy 2008. (c) Total economic life cycle and age reallocations, Women, Italy 2008.

With regard to total population the levels of surplus/deficit change significantly with the inclusion of unpaid domestic work but the age borders at which the LCD changes from positive to negative remain rather constant. However, men slight reduce while women significantly increase the span of their life cycle surplus (Fig. 5a–c). At the aggregate level (Table 1),10 the inclusion of non-market economy raises the value of the youth deficit (compared to that in market economy) by 27%, even though the value for women falls to 22% due to their early contribution within the household. Total surplus of central ages increases by around 20% but, as already highlighted, the rise is totally due to women’s gains in LCS (+95%) while men still decrease their value by 22%. Finally, the economic dependency of elderly persons slightly decreases but, once again, the result is explained by women, while older men show an opposite pattern at older ages, raising the value of their deficit. Differences in life cycle deficit and surplus are reflected in age reallocations (Fig. 5a–c). It should be recalled that the inclusion of non-market production only affects familial transfers. Transfers to children grow considerably both for male and females. The strongest effect is found at age 0 with an increase in the per-capita value from approximately 7000 to 19000 euros. As an effect of the introduction of non-market economy, familial transfers continue to be positive for men until age 30 while they turn negative at age 27 for women. During central ages, women and men transfer more and less resources, respectively, within the family in total economy compared to market economy. With regard to the total population, transfers from elderly persons toward other ages increase slightly, which is the combined effect of a decrease in the amount of transfers received by women and a decrease of that paid by men. As already discussed, most of the life cycle deficit at young ages is financed by the family. Young persons continue to be net beneficiaries of private transfers even when they are already net payers in the public sector. Fig. 6 shows the support of young deficit ages by the institutional and economic sector, with the purpose to obtain an insight into the subsidiary redistributive function of Italian families. Young deficit ages (from 0 to 26 years) have been disaggregated according to the different stages of the Italian education system.11 Families’ transfers represent more than 50% of the total transfers received by children in all age groups considered. Time transfers are a significant component of familial support for all ages. Children aged from 0 to 2 years receive the highest amounts of familial transfers (about 78% of total transfers), of which the majority are in the form of time transfers. Public transfers for the 3–5 years age group are slightly increasing, mainly due to the greater availability of institutional care, mirrored in a decrease of familial transfers, in particular of time transfers. During school ages, public and private transfers are almost balanced due to public expenditure for education. However, with the end of compulsory schooling, net public transfers decrease meaning that again family resources become more important in determining and safeguarding the children’s possibilities.
Fig. 6

Support to young deficit ages by institutional and economic sector, Italy 2008.

Finally, Table 2 analyzes the effect of changes in population age structure on the deficit of the economic life cycle. Eurostat population projections (Eurostat, 2014b) have been used to derive values of life cycle deficit and surplus for the years 2030 and 2050, behind the (simplifying) assumption of constant labour income and consumption age profiles. During the whole period considered, as an effect of demographic change, the total deficit of the young would decrease by 5%, surplus would decrease by 17% and the deficit of the old would increase by 76%. The market and non-market economic sector highlight the existence, on the one hand, of a similar behaviour for young dependency and working-ages surplus, on the other, of significant differences at older ages. Old-age dependency would increase by more than 72% in the market economy but by less than 15% in the non-market economy, due to the active role of elderly persons in household production until very old ages. At the aggregate level the ageing of the population would cause a reduction of total production by 10%, in detail market production would be reduced by 20% while non-market production would even slight increase.
Table 2

Projected values of LCD and LCS for year 2030 and 2050 by economic sector.

Economic sectorDeficit and surplus agesAbsolute values
Values relative to year 2008
2030205020302050
MarketDeficit of the young1966051903859895
Surplus ages−189492−1712999384
Deficit of the elderly367029451595140172
Non marketDeficit of the young66226654969594
Surplus ages−46146−423008881
Deficit of the elderly−22623−20109129114
Total economyDeficit of the young2628312558819795
Surplus ages−235638−2136009283
Deficit of the elderly344406431485140176

Source: Own elaborations on Banca d’Italia (2008), Eurostat (2008a,b,c,d), Istat (2008a,b, 2009) and various other sources.

Discussion and conclusions

This article represents a first attempt to develop a comprehensive account of monetary and time transfers between genders and generations for Italy. For this purpose an extensive database has been developed encompassing estimates for average production, consumption, transfer payments and benefits by single-year age group and gender for both the public and the private sector. Estimates concerning the private sector, i.e. families, include both market and non-market household production. The inclusion of unpaid work is of fundamental relevance within the Italian familialistic (Saraceno, 1997; Esping Andersen, 1999; Leitner, 2003) welfare system. The cross-sectional picture of the Italian system of age- and gender-related economic transfers for 2008 revealed three main interconnected themes: (i) the existence of an important public transfer imbalance toward old ages; (ii) a prolonged youth dependency borne by families, both through monetary and time transfers; (iii) the permanence of a strong gender bias in the division of market and domestic work. Results seem to suggest the existence of both implicit gender and generational contracts: women take most of the responsibility for domestic work and family care while men focus on paid work, allowing for a market surplus during their working as well as retirement ages which is mostly used to support younger generations and women. Results for the non-market economy highlight the existence of a gender gap already at young ages and of a considerable amount of work performed by women during virtually all the lifetime. Furthermore, the existence of both a market and a non-market surplus during central ages may suggest the existence of a double shift (Hochschild, 1989) for women. Results for the support system at young ages confirm that in Italy the responsibility for child care during early childhood is traditionally attributed to the family. The familiarisation of intergenerational obligations toward young ages poses several questions in terms of sustainability and equity of the Italian welfare system. On the one hand, care responsibilities are one of the principal reasons for the persistence of a strong gender specialization in production. Feminist reformers have strongly supported the provision of good quality institutional care not only as a fundamental tool in order to manage parenthood and market work but also as an essential prerequisite for the achievement of gender equality (Bergmann, 1986). On the other hand, the role of families in providing social welfare for adult children may facilitate the transmission of inherited privileges and thus the consequent reproduction of social inequalities (Livi Bacci, 2008). Summarizing, the results from this article suggest the necessity for Italy to redesign social policies, rethinking intergenerational and gender balances on the basis of the current social needs and risks. In particular, among policy priorities, public intervention toward work-family reconciliation and de-familiarisation of responsibilities for children appears to be essential.
Table A1

CHILD CARE: Parameter estimates.

AgeParameter estimateStandard errort for H0: parameter = 0Pr > |t|
01371315787.54<0.0001
1908313567.50<0.0001
2729613653.63<0.0001
4603213743.88<0.0001
4535713739.14<0.0001
5437614230.88<0.0001
6369714226.04<0.0001
7360613826.14<0.0001
8315614022.60<0.0001
9293113122.30<0.0001
10252114417.51<0.0001
11165313212.51<0.0001
12183713913.19<0.0001
1312191418.67<0.0001
1410811278.49<0.0001
1511031308.47<0.0001
165121284.00<0.0001
176691305.15<0.0001
Table A2

ADULT CARE: Parameter estimates.

AgeParameter estimateStandard errort for H0: parameter = 0Pr > |t|
185341912.800.0052
193941822.160.0308
201821791.010.3111
21431870.230.8189
227061913.690.0002
233321861.790.0736
241311820.720.4710
251311800.730.4661
26151800.090.9317
273221831.760.0781
282681761.520.1286
29491730.280.7773
303731712.180.0294
314251662.560.0106
3291520.060.9546
332281531.500.1347
341511461.040.2982
353351492.240.0250
362461451.690.0904
372021491.360.1738
383421452.360.0183
392951432.060.0390
403191412.270.0234
413921382.850.0044
42331390.240.8122
433211372.340.0194
443831372.790.0052
454371433.060.0022
461011440.700.4834
471741481.180.2390
482421561.550.1206
495541473.770.0002
505311533.480.0005
515501573.490.0005
524191532.740.0061
534701612.920.0035
545411533.530.0004
554171612.580.0098
563601622.230.0258
572691511.790.0736
582691561.720.0849
595441493.650.0003
604491493.010.0026
617321544.77<0.0001
627411584.68<0.0001
634211872.250.0242
642581771.460.1442
6513861668.350.0000
665161732.990.0028
675361553.460.0005
683071631.880.0598
692151611.340.1806
706921654.20<0.0001
717101784.00<0.0001
726491753.700.0002
738701745.00<0.0001
7411241866.03<0.0001
755211782.92<0.0001
767691864.14<0.0001
777711854.17<0.0001
787711953.95<0.0001
7914212037.00<0.0001
8010492035.18<0.0001
8111632145.43<0.0001
8211942195.45<0.0001
8312342514.92<0.0001
8410972584.26<0.0001
8513632695.07<0.0001
8611312674.24<0.0001
8715753115.06<0.0001
8828763388.51<0.0001
8910204652.190.0283
90258720912.35<0.0001
Table A3

HOUSEWORK: Parameter estimates.

AgeParameter estimateStandard errort for H0: parameter = 0Pr > |t|
02746240.440.6613
11445400.270.7895
25845461.070.2845
350675499.22<0.0001
433115446.63<0.0001
537265627.42<0.0001
641655618.43<0.0001
746095478.60<0.0001
847555538.60<0.0001
946515228.91<0.0001
1055895719.79<0.0001
1137385257.12<0.0001
1245675538.26<0.0001
13636455811.41<0.0001
1449165079.69<0.0001
15590552111.33<0.0001
16589051411.45<0.0001
1749295199.51<0.0001
1853155389.89<0.0001
19613851411.94<0.0001
20601050611.88<0.0001
2152335289.91<0.0001
22558553910.36<0.0001
23741652314.18<0.0001
24780751315.22<0.0001
25702950613.88<0.0001
26755850814.88<0.0001
27783051615.19<0.0001
28869549717.49<0.0001
29699748814.34<0.0001
30744348315.40<0.0001
31906247319.16<0.0001
32764343317.66<0.0001
33824743618.90<0.0001
34813741819.45<0.0001
35848643319.62<0.0001
36878142020.93<0.0001
37891543020.75<0.0001
38813741919.41<0.0001
39870041520.96<0.0001
40879940821.55<0.0001
41900440122.46<0.0001
42895840322.25<0.0001
43854039921.40<0.0001
44942239923.64<0.0001
45876941421.18<0.0001
461033541225.06<0.0001
47974942522.95<0.0001
48971644721.73<0.0001
49926941822.18<0.0001
501053943324.35<0.0001
511025144423.07<0.0001
521018843223.59<0.0001
531106345424.36<0.0001
541012443223.42<0.0001
551061845523.36<0.0001
56971345521.36<0.0001
571065042425.12<0.0001
581160143926.40<0.0001
591261541930.09<0.0001
601209941928.87<0.0001
611252043228.95<0.0001
621161844526.09<0.0001
631221952623.23<0.0001
641226949824.65<0.0001
651213146725.96<0.0001
661308948626.94<0.0001
671238643628.41<0.0001
681260845927.48<0.0001
691248345227.59<0.0001
701274946427.47<0.0001
711302350026.05<0.0001
721210249424.51<0.0001
731320748927.00<0.0001
741325252425.28<0.0001
751184150223.58<0.0001
761216552323.28<0.0001
771202752023.13<0.0001
781130454920.60<0.0001
791156157120.24<0.0001
801176557020.64<0.0001
811103760218.32<0.0001
821038961616.85<0.0001
83979470713.86<0.0001
841034272514.27<0.0001
851067875614.13<0.0001
86916075112.20<0.0001
87886087610.12<0.0001
8883359518.76<0.0001
89850713086.51<0.0001
90592458910.06<0.0001
  3 in total

1.  The baby boom, the baby bust, and the housing market.

Authors:  N G Mankiw; D N Weil
Journal:  Reg Sci Urban Econ       Date:  1989-05

2.  Data Resource Profile: The European Union Statistics on Income and Living Conditions (EU-SILC).

Authors:  Vishal S Arora; Marina Karanikolos; Amy Clair; Aaron Reeves; David Stuckler; Martin McKee
Journal:  Int J Epidemiol       Date:  2015-05-06       Impact factor: 7.196

Review 3.  Children and the elderly: divergent paths for America's dependents.

Authors:  S H Preston
Journal:  Demography       Date:  1984-11
  3 in total

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