| Literature DB >> 35433925 |
Noa Achouche1,2.
Abstract
To date, relatively few studies analyzed the motherhood penalty as experienced by immigrant women. The principal objective of this research is to establish whether the negative effect of motherhood on wages is higher for immigrants than it is for the native population; and how this effect may vary across different immigrant regions of origin. Using data from the Enquête Revenus Fiscaux et Sociaux from 2009 to 2012 (INSEE, 2009-2012), a series of linear regression models were calculated to examine whether the effect of motherhood on wages differs for immigrant women and native women; and to what extent this effect varies across different immigrant origin groups. Specifically, this study explores the effect of motherhood on immigrant labor market integration in France from three regions of origin, as compared to native French women: immigrants from sub-Saharan Africa, the Maghreb (Algeria, Tunisia, and Morocco), and from European countries (each and every region of origin is considered separately in comparison to native French women). The results revealed substantial differences in the motherhood penalty between the different regions of origin and assert the existence of an especially pronounced motherhood penalty for mothers from the Maghreb. Given the gap in the research with regards to the cost of motherhood for immigrants in the labor market of the host country, this research sheds light on specific mechanisms influencing the integration patterns of immigrant women. Moreover, by choosing France, which is one of the main immigration destinations in Europe, and a country where the motherhood penalty for the native population is almost non-existent, this study provides a new perspective on the intersection of motherhood, immigration, and region of origin in the immigrants' labor-market integration process.Entities:
Keywords: ethnicity; family investment hypothesis; immigration; immigration in France; intersectionality; motherhood ideology; motherhood penalty; self-selection
Year: 2022 PMID: 35433925 PMCID: PMC9006993 DOI: 10.3389/fsoc.2022.748826
Source DB: PubMed Journal: Front Sociol ISSN: 2297-7775
Descriptive statistics by immigration status (aged 18–50).
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| Children 7–18% | 34% | 32% | 60% | 59% |
| children under 6% | 26% | 37% | 40% | 41% |
| Employed% | 78% | 54% | ||
| Yearly wages (only for employed women) | €18,772 | €16,808 | €19,196 | €16,313 |
| (std deviation) | (10,827) | (11, 741) | (11,125) | (11,797) |
| Low Blue collar | 4.6% | 10.9% | 4.2% | 11.4% |
| High Blue collar | 6.6% | 5.4% | 5.7% | 4.8% |
| Low White collar | 74.7% | 70.2% | 75.8% | 71.8% |
| High White collar | 14.1% | 13.6% | 14.2% | 11.8% |
| Married % | 44% | 65% | 58% | 69% |
| Years of education | 11.36 | 9.22 | 11.99 | 10 |
| (std deviation) | (3.91) | (5.2) | (3.53) | (5.09) |
| Age | 36.49 | 37.57 | 38.25 | 39.13 |
| (std deviation) | (8.87) | (8.10) | (6.82) | (6.91) |
| Number of children | 1.78 | 2.01 | 1.70 | 1.79 |
| (std deviation) | (1.01) | (1.26) | (0.74) | (0.86) |
| Weekly working hours | 34.56 | 32.9 | 33.84 | 32.1 |
| (std deviation) | (9.54) | (11.89) | (9.24) | (10.69) |
| Years since immigration | 18.97 | |||
| (std deviation) | (12.73) | |||
| FR nationality% | 100% | 43% | 100% | 56% |
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| 73,180 | 11,896 | 29,675 | 3,505 |
SOURCE: Enquête sur les revenus fiscaux et sociaux (ERFS), INSEE 2009–2012.
Descriptive statistics by immigration status and region of origin (age 18–50).
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| Children 7–18% | 36% | 31% | 30% | 65% | 60% | 50% |
| children under 6% | 26% | 43% | 43% | 35% | 40% | 50% |
| Employed% | 68% | 43% | 58% | |||
| Yearly wages (only for employed women) | €18,870 | €16,044 | €15,245 | €18,686 | €15,464 | €14,732 |
| (std deviation) | (13.220) | (11,135) | (9,493) | (13,788) | (11,307) | (9,009) |
| Low Blue collar | 8.2% | 12.5% | 11.6% | 8.7% | 11.7% | 12.7% |
| High Blue collar | 5.8% | 4.0% | 3.5% | 4.9% | 3.6% | 3.3% |
| Low White collar | 69.5% | 70.8% | 77.3% | 71.2% | 72.8% | 77.7% |
| High White collar | 16.5% | 12.6% | 7.5% | 15.1% | 11.8% | 6.2% |
| Married % | 62% | 72% | 47% | 70% | 73% | 54% |
| Years of education | 10.41 | 8.45 | 8.93 | 10.56 | 10 | 9.33 |
| (std deviation) | (5.03) | (5.11) | (4.93) | (5.01) | (5.01) | (4.87) |
| Age | 38.56 | 37.76 | 36.63 | 39.62 | 39.88 | 37.95 |
| (std deviation) | (8.14) | (8.36) | (7.86) | (6.70) | (7.21) | (7.04) |
| Number of children | 1.74 | 2.16 | 2.17 | 1.60 | 1.88 | 1.97 |
| (std deviation) | (0.82) | (1.06) | (1.39) | (0.71) | (0.88) | (1.01) |
| Weekly working hours | 33.28 | 32.59 | 32.21 | 32.13 | 32.24 | 31.73 |
| (std deviation) | (10.76) | (10.74) | (9.69) | (10.97) | (11.27) | (9.45) |
| Years since immigration | 20.76 | 20.87 | 17.63 | 23.71 | 25.55 | 19.89 |
| (std deviation) | (14.36) | (1379) | (10.77) | (13.81) | (12.68) | (10.56) |
| FR nationality% | 36% | 52% | 47% | 56% | 72% | 58% |
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| 3,619 | 4,024 | 2,252 | 1,229 | 998 | 809 |
SOURCE: Enquête sur les revenus fiscaux et sociaux (ERFS), INSEE 2009–2012.
Regressions predicting the Logarithmic transformation of the yearly wages (LN income) of women in the French labor market (18–50 years old) according to their immigration status, and Heckman selection model correcting for selectivity.
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| (1) | (2) | (3) | (4) | |||
| Children under 18 | −0.045 | −0.045 | −0.009 | −0.056 | Not significant | Not significant |
| (0.01) | (0.01) | (0.02) | (0.03) | |||
| Children under 6 | 0.049 | 0.045 | −0.069 | 0.040 |
| Not significant |
| (0.01) | (0.01) | (0.03) | (0.04) | |||
| LowBlue collar | −0.056 | −0.048 | 0.002 | −0.252 | Not significant |
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| (0.01) | (0.02) | (0.03) | (0.03) | |||
| HighBlue collar | 0.143 | 0.156 | 0.112 | −0.139 | Not significant |
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| (0.01) | (0.02) | (0.04) | (0.08) | |||
| HighWhite collar | 0.407 | 0.414 | 0.561 | 0.349 |
| Not significant |
| (0.01) | (0.01) | (0.03) | (0.06) | |||
| Married | −0.066 | −0.065 | −0.059 | 0.007 | Not significant |
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| (0.01) | (0.01) | (0.02) | (0.02) | |||
| Age | 0.020 | 0.021 | 0.014 | 0.007 |
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| (0.00) | (0.00) | (0.00) | (0.00) | |||
| Educ years | 0.050 | 0.052 | 0.022 | 0.003 |
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| (0.00) | (0.00) | (0.00) | (0.01) | |||
| Weekly working hours | 0.020 | 0.020 | 0.028 | 0.027 |
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| (0.00) | (0.00) | (0.00) | (0.00) | |||
| Constant | 7.552 | 7.473 | 7.736 | 8.673 | Not significant |
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| (0.02) | (0.11) | (0.07) | (0.25) | |||
| Lambda | 0.053 | −0.585 |
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| (0.06) | (0.15) | |||||
| R-squared | 0.275 | 0.293 | ||||
| N cases | 49,673 | 46,966 | 5,350 | 5,319 | ||
p < 0.1;
p < 0.05;
p < 0.01.
SOURCE: Enquête sur les revenus fiscaux et sociaux (ERFS), INSEE 2009–2012.
CHART 1Yearly income of women in the French labor market by immigration status and children uncorrected for selection (under 18 years old). SOURCE: Enquête sur les revenus fiscaux et sociaux (ERFS), INSEE 2009–2012.
CHART 2Yearly income of women in the French labor market by immigration status and children corrected for selection (under 18 years old). SOURCE: Enquête sur les revenus fiscaux et sociaux (ERFS), INSEE 2009–2012.
Linear Regression predicting the logarithmic transformation of the yearly income of women in the French labor market according to the region of origin and motherhood status (18–50 years).
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| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | |
| Children under 18 | −0.045 | −0.045 | 0.037 | −0.002 | −0.109 | −0.127 | −0.014 | −0.140 |
| (0.01) | (0.01) | (0.03) | (0.05) | (0.05) | (0.05) | (0.06) | (0.12) | |
| CHILDREN under 6 | 0.049 | 0.045 | 0.086 | 0.196 | −0.180 | −0.059 | −0.138 | 0.079 |
| (0.01) | (0.01) | (0.04) | (0.08) | (0.06) | (0.17) | (0.06) | (0.08) | |
| LowBlue collar | −0.056 | −0.048 | −0.017 | −0.172 | −0.009 | −0.264 | 0.052 | −0.289 |
| (0.01) | (0.02) | (0.05) | (0.11) | (0.06) | (0.20) | (0.07) | (0.22) | |
| HighBlue collar | 0.143 | 0.156 | 0.189 | −0.018 | 0.121 | −0.052 | 0.049 | −0.290 |
| (0.01) | (0.02) | (0.06) | (0.14) | (0.10) | (0.17) | (0.11) | (0.26) | |
| HighWhite collar | 0.407 | 0.414 | 0.551 | 0.309 | 0.565 | 0.421 | 0.485 | 0.172 |
| (0.01) | (0.01) | (0.05) | (0.14) | (0.07) | (0.13) | (0.09) | (0.22) | |
| Married | −0.066 | −0.065 | −0.044 | 0.002 | −0.096 | −0.026 | −0.044 | −0.101 |
| (0.01) | (0.01) | (0.03) | (0.05) | (0.05) | (0.07) | (0.05) | (0.10) | |
| Age | 0.020 | 0.021 | 0.013 | 0.007 | 0.017 | 0.011 | 0.012 | −0.004 |
| (0.00) | (0.00) | (0.00) | (0.01) | (0.00) | (0.01) | (0.00) | (0.02) | |
| Educ years | 0.050 | 0.052 | 0.019 | 0.010 | 0.027 | 0.006 | 0.020 | −0.010 |
| (0.00) | (0.00) | (0.00) | (0.01) | (0.00) | (0.02) | (0.01) | (0.02) | |
| Weekly working hours | 0.020 | 0.020 | 0.026 | 0.026 | 0.025 | 0.025 | 0.034 | 0.034 |
| (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | |
| Constant | 7.552 | 7.473 | 7.862 | 8.679 | 7.699 | 8.513 | 7.661 | 9.581 |
| (0.02) | (0.11) | (0.10) | (0.45) | (0.14) | (0.70) | (0.16) | (1.13) | |
| Lambda | 0.053 | −0.693 | −0.432 | −1.158 | ||||
| (0.06) | (0.37) | (0.31) | (0.67) | |||||
| R-squared | 0.275 | 0.320 | 0.272 | 0.255 | ||||
| N cases | 49,673 | 46,966 | 2,050 | 1,982 | 1,498 | 1,463 | 1,101 | 1,062 |
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| Children under 18 |
| Not significant | Not significant | Not significant | Not significant | Not significant | ||
| Children under 6 | Not significant |
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| Not significant | Not significant | Not significant | ||
| LowBlue colar | Not significant |
| Not significant | Not significant | Not significant | Not significant | ||
| HighBlue colar | Not significant | Not significant | Not significant | Not significant | Not significant | Not significant | ||
| HighWhite colar |
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| Not significant | Not significant | Not significant | Not significant | ||
| Married | Not significant | Not significant | Not significant | Not significant | Not significant | Not significant | ||
| Age |
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| Not significant | Not significant | Not significant | ||
| Educ years |
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| Weekly working hours |
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| Constant |
| Not significant | Not significant |
| Not significant | Not significant | ||
| Lambda |
| Not significant | Not significant | |||||
p < 0.1;
p < 0.05;
p < 0.01.
Source: Enquête sur les revenus fiscaux et sociaux (ERFS), INSEE 2009–2012.
CHART 3Yearly income of a woman in the French labor market by immigration status and children (under 18 years old). Source: Enquête sur les revenus fiscaux et sociaux (ERFS), INSEE 2009–2012.
CHART 4The yearly income of a woman, in the French labor market according to origin groups and children under 6 years old. Source: Enquête sur les revenus fiscaux et sociaux (ERFS), INSEE 2009–2012.