Native women work more thanks to migrant women performing domestic tasks
Published: 5 July 2011
As found by a survey (5.11Mb PDF) [1] carried out by the National Institute of Statistics (Istat [2]), Italian women spend almost four hours a day in domestic tasks and also care for children and elderly relatives. A working paper (341Kb PDF) [3] published by Banca d’Italia in July 2010 examines whether female immigrants have an impact on the participation of native women in the Italian labour market. In developed countries, female immigrants largely provide household services and the working paper focuses on what it calls ‘specialised immigrants’, that is, female immigrants who specialise in housekeeping, child care and care of the elderly.[1] http://www.istat.it/dati/catalogo/20080612_01/arg0835time_use_in_daily_life.pdf[2] http://en.istat.it/[3] http://www.bancaditalia.it/pubblicazioni/econo/temidi/td10/td766_10/td_766_10/en_tema_766.pdf
According to a Banca d’Italia paper, a higher incidence of female immigrants who supply domestic tasks has enabled native Italian women, especially those who are highly educated, to spend more time at work despite the continuing unequal gender division of domestic tasks between partners. Use of female immigrants acts as a substitute for child care and social spending at municipal level by ensuring the continuity of the familistic welfare model that characterises Italy.
Impact of female immigrants on work by native women
As found by a survey (5.11Mb PDF) carried out by the National Institute of Statistics (Istat), Italian women spend almost four hours a day in domestic tasks and also care for children and elderly relatives. A working paper (341Kb PDF) published by Banca d’Italia in July 2010 examines whether female immigrants have an impact on the participation of native women in the Italian labour market. In developed countries, female immigrants largely provide household services and the working paper focuses on what it calls ‘specialised immigrants’, that is, female immigrants who specialise in housekeeping, child care and care of the elderly.
The econometric analysis uses microdata from the 2006–2008 Labour Force Survey combined with aggregate data on the presence of immigrants in the local labour market (LLM) (that is, clusters of municipalities), drawn on the basis of commuting patterns interpreted as a self-contained labour market. Regression analysis shows that both female labour force participation and working times are linked to the availability of migrant women ‘specialised’ in domestic tasks, with a strong country of origin characterisation, socio-demographic factors and potential care demands from their families.
Key findings
Specialised immigrants (that is, female immigrants carrying out domestic services) made up about 23% of overall female immigrants in Italy in the mid-1990s. This figure had increased considerably to more than 53% at the end of 2008 (Barone and Mocetti, 2010: p. 10).
Women with children participate less in the labour market and work much shorter hours (Tables 1 and 2). The reduction is greatest when their children are less than three-years-old: their probability of participation declined by 29% (34.6% when highly educated) while their working time was shorter by 2 hours and 40 minutes (3 hours and 13 minutes when highly educated).
The availability of migrant women for domestic tasks has a small but noticeable impact on the participation of native women in the labour force, increasing their working time by over 20 minutes (almost 30 minutes in the case of highly educated women).
| Probability of participation in the labour force (probit estimates) | |||
|---|---|---|---|
| All sample | Low level of education | High level of education | |
| ‘Specialised immigrants’ | 0.011 | 0.019 | 0.024 |
| Age | 0.247*** | 0.212*** | 0.381*** |
| Age squared | -0.003*** | -0.003*** | -0.005*** |
| Years of schooling | 0.108*** | 0.081*** | 0.028*** |
| Married | -0.383*** | -0.429*** | -0.194*** |
| Children under 3 | -0.290*** | -0.274*** | -0.346*** |
| Children aged 3–5 | -0.208*** | -0.230*** | 0-219*** |
| Children aged 6 or more | -0.074*** | -0.071*** | -0.015 |
| Elderly people | -0.049*** | -0.017 | -0.200*** |
| Unable to work | -0.462*** | -0.424*** | -0.441*** |
| Fixed effects | Yes | Yes | Yes |
| Local controls | Yes | Yes | Yes |
| Number of observations | 469,435 | 252,106 | 51,616 |
Notes: Fixed effects (FE) include season, year, region and region × year dummies.
Local controls include female unemployment rate, gross domestic product (GDP) per worker and population density at the LLM level.
Standard errors are adjusted for clustering at the LLM level.
*Significant at 10%; **significant at 5%; ***significant at 1%.
Source: Barone and Mocetti (2010; Table 3)
| All sample | Low level of education | High level of education | |
|---|---|---|---|
| ‘Specialised immigrants’ | 0.382*** | 0.341 | 0.495*** |
| Age | -0.077** | 0.094 | -0.274*** |
| Age squared | 0.000 | -0.001* | 0.002** |
| Years of schooling | 0.071*** | 0.046 | 0.440*** |
| Married | -1.883*** | -1.816*** | -1.532*** |
| Children under 3 | -2.616*** | -2.354*** | -3.207*** |
| Children aged 3–5 | -2.392*** | -1.717*** | -2.232*** |
| Children aged 6 or more | -0.765*** | -0.505*** | -0.720*** |
| Elderly people | 0.260** | 0.255 | 0.020 |
| Unable to work | 0.578* | -0.888* | 0.857 |
| Job characteristics | Yes | Yes | Yes |
| Fixed effects | Yes | Yes | Yes |
| Local controls | Yes | Yes | Yes |
| Number of observations | 183,653 | 64,899 | 32,162 |
Notes: Job characteristics include controls for temporary contracts, tenure, sector of activities, professional qualification and commuting behaviour.
Fixed effects (FE) include season, year, region and region × year dummies.
Local controls include female unemployment rate, GDP per worker and population density at the LLM level.
Standard errors are adjusted for clustering at the LLM level.
*Significant at 10%; **significant at 5%; ***significant at 1%.
Source: Barone and Mocetti (2010: Table 4)
These results remain valid after a series of tests to assess causality. For instance, the tests show that:
other groups of immigrants (that is, those not specialised in domestic services) do not exert a similar impact on the hours worked by highly skilled Italian women;
specialised immigrants do not affect the hours worked by men, who are much less engaged in domestic work.
Immigrants ‘specialised’ in domestic services act as a substitute for welfare services provided at the local level; their impact is stronger in those municipalities where social and family policies are less developed. The weekly hours worked by highly educated native women increase by 40 minutes for those living in municipalities at the 25th percentile in terms of employees in welfare services, and fall by 20 minutes for those living in municipalities at the 75th percentile. Similarly, the impact of ‘specialised immigrants’ falls from 60 to 35 minutes when going from municipalities at the 25th percentile to those at the 75th percentile in terms of social public spending per capita.
These findings confirm that household production is the main channel driving migrant women into employment. They also show that ‘specialised immigrants’ act as substitutes for welfare policies. However, the issue of undeclared work is not taken into account in the analysis (see IT1001049I and IT0902049I).
Commentary
The Banca d’Italia working paper provides further evidence on the evolution of the Italian familistic welfare towards a liberal configuration, thus validating the argument put forward by Meulders and O’Dorchai in 2004 that these two models of welfare are very close because of a low level of public intervention. Indeed, the increase in the working time of native women is mainly due to the ability of highly educated women to buy domestic services from migrant women instead of relying on their families to carry out these tasks. Finally, it is worth noting that the unequal gender division of domestic tasks between partners is unaffected, as shown by Istat time use survey.
References
Barone, G. and Mocetti, S., Gli effetti dell’immigrazione poco qualificata sull’offerta di lavoro femminile [With a little help from abroad: effect of low-skilled immigration on the female labour supply], Working Paper No. 766, Rome, Banca d’Italia, 2010.
Istat, Time use in daily life: a multidisciplinary approach to the time use’s analysis (5.11Mb PDF), Rome, 2008.
Meulders, D. and O’Dorchai, S., ‘The role of welfare state typologues in analysing motherhood’, Transfer: European Review of Labour and Research, Vol. 10, No. 1, 2004, pp. 16–33.
Mario Giaccone, Ires
Eurofound recommends citing this publication in the following way.
Eurofound (2011), Native women work more thanks to migrant women performing domestic tasks, article.
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