Abstract
Using a unique data set on immigrants living in France in 2003, we investigate whether Muslims invest differently in their children’s education compared to non-Muslims. In particular, we want to assess whether educational inequalities between the children of Muslim and non-Muslim immigrants stem from differences between or within families. After controlling for a broad set of individual and household characteristics, we find no difference in education between children of different religions. However, we do find more within-family inequality in children’s educational achievements among Muslims relative to non-Muslims. The within-family variance is 15 % higher among Muslims relative to Catholics and 45 % higher relative to immigrants with other religions, but the intra-family inequality remains difficult to explain. Overall, our results suggest that Muslim parents tend to redistribute their resources more unequally among their children.
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Notes
Different sources cited in (Garcia-Munoz and Neuman 2013) indicate that the share of Muslim religious group in the European population is expected to grow from a current 6 to 8 % of the population over the next 20 years. The demographic trend of a growing share of the Muslim populations in Europe is expected to result in a further increase in anti-Moslim taste-based discrimination (Adida et al. 2011).
One study that investigates the relationship between religion and education is that of Hajj and Panizza (2009). Looking into the gender gap in education between Muslims and Christians households (not immigrants) in Lebanon, these authors find no support that Muslims discriminate against female education.
A recent stream of literature, the so-called epidemiological approach summarized by Fernandez (2011), is trying to isolate the cultural traits from the countries of origin that affect the behavior of immigrants in the host countries. The main idea is that culture measured through the persistence of religious traits has an effect on women’s fertility and labor supply (Fernandez and Fogli 2006a, 2006b) as well as on the living arrangements of 18–30-year-olds (Giuliano 2007).
For example, differences within family allocations may result in lower outcomes for girls than for boys (when, for instance, the capital markets are incomplete), for higher relative to lower birth-order children (if prices for schooling depend on family size), or for larger than smaller sibship size.
The PRI survey was conducted by the Caisse Nationale d’Assurance Vieillesse (CNAV) and the Institut National de la Statistique et des Etudes Economiques (INSEE) from November 2002 to February 2003. The main purpose of the PRI survey was to provide a detailed description of the behavior of older migrants (nearing retirement or already retired) living in France.
(Ejrnaes and Portner 2004) also select their sample on the basis of the child’s age. By definition, very young children will not attend school and young children below 16 will be in the secondary school, so they will not have had the opportunity to have obtained a diploma. At the same time, we implicitly account for these young children because they are considered when calculating the number of siblings and other characteristics of the sibship.
For the children, the corresponding figures are 44.9 % (Muslims), 37.8 % (Catholics), and 17.4 % (other religions). Other religion category includes the following: Protestant (including Evangelists and Anglicans) (2.8 %), other Christian (Orthodox, Gregorian, Maronite, and other Christian Armenian) (3.1 %), other religion (5.1 %), and also no religion (6.3 %).
There is mixed evidence on whether the time since migration is correlated to immigrants’ religiosity. We will return to this issue later.
By construction, the rank among siblings is correlated with the size of the sibship: children with many siblings will have higher rank on average. Following (Booth and Kee 2009), we construct an adjusted rank R α among siblings such that \(R_{a} =2\ast \frac {R}{N+1}\), with R as the standard rank and N as the size of the sibship. Whatever the number of siblings, the average adjusted rank is always equal to one at the family level.
Results do not change if we do not account for current region of residence. However, one worry here is that some unobservable characteristics that affect the immigrants’ residence choice may also affect the level of parental investment in their children education. Ideally, one would need questions about the families’ location and neighborhood when the children were in school, but such information is not available in our cross-sectional data. In some further specifications, we also account for information about the safety of the neighborhood where the respondents currently live (whether the respondents live in a dangerous place or not). Our main findings are robust to these controls.
Our results are not affected by excluding respondents with no religion. These results are available upon request.
To further understand these effects, we make use of another variable in our survey—date of entry in France for each child (we already control for the duration since migration, but it is not always the case that all family migrate at one point in time). Unfortunately, there is a large proportion of missing values that prevents us from using it in our main regressions. However, we have looked into our results on a restricted sample of observations for which we have the information, and we find indeed lower education for those children that entered France the latest, while the dummy born abroad, living in France is not significant anymore. All other results, including the religion indicator, are very similar to those in column 3. These results are available upon request.
The number of children of the Muslim sample is lower than that of the Catholic sample because we only consider children aged at least 24 years old and not enrolled at the date of the survey (recall that Muslim children are younger on average and have a higher probability to attend school).
Additionally, we have also looked into our results excluding all children born abroad and living abroad, as this group may be very different than those living in France. Our results, available upon request, are largely in line with those in Table 2.
We believe that it is difficult to assess the importance of this variable for other religion immigrants, because this is a highly heterogeneous group.
All these additional estimates are available upon request.
As shown in Table 1, Muslim children are, for instance, younger on average and more often enrolled.
Here, we suppose that censoring is exogenous in the sense that it is not affected by family characteristics.
Even though it remains difficult to explain, we also attempted to put a number on the how much of the within inequality is due to some of our explanatory variables. For each Muslim household, we regress the explained within variance by the standard deviation of the following characteristics: gender, age, raised by both head and spouse until age of 12, born abroad and living in France, and born abroad and living abroad. To assess the contribution of each variable to the within inequality, we perform a Fields’ decomposition of factor contribution. We find that around 18 % of within inequality is explained by the gap in age at the sibship level, 23.5 % by change in raised by both parents, and around 37 % by place of birth. The variation in gender at the sibship level explains less than 0.001 % of the variation.
We also only consider families with at most four children satisfying the previous criteria, as at most four transfers to children are recorded in the PRI survey.
Both in the education and transfer regressions, we include a set of dummies for the region of origin (instead of countries of origin) with the following categories: Northern Europe, Eastern Europe, Southern Europe, Northern Africa, Southern Africa, America, Middle East, and Asia. We choose to group countries by regions as there were very few children for some countries. For private transfers, we have also estimated a regression pooling all religions. We find that children with Muslim parents are significantly less likely to receive money, while there is no difference between Christian and other religions (see alsoWolff et al. 2007).
Note that this variable does not vary a lot at the family level for our sample.
According to our data, the proportion of transfers related to family events (like marriage or birth) is extremely low among Muslims (3.2 %). The lower probability of transfers for girls relative to boys in Muslim vs. non-Muslim households may also be a compensation mechanism if the family would have invested more in terms of education for girls than for boys or if girls perform better at school.
In 2003, the year of the survey, public spending on education in France was 5.9 % of GDP, while private education expenditures represented 0.5 of GDP.
References
Algan Y, Dustmann C, Glitz A, Manning A (2010) The economic situation of first and second-generation immigrants in france, Germany and the United Kingdom. Econ J 120:F4–F30
Altonji J G, Dunn T J (1996) The effects of family characteristics on the return to education. Rev Econ Stat 77:692–704
Adida CL, Laitin DD, Valfort MA (2011) One muslim is enough! Evidence from a field experiment in France. IZA Discussion Paper 6122
Arai M, Karlsson J, Lundholm M (2011) On fragile grounds: a replication of are muslim immigrants different in terms of cultural integrationJ Eur Econ Assoc 9:1002–1011
Attias-Donfut C, Davaut P, Gallou R, Rozenkier A, Wolff F C (2006) L’enracinement.Enquête sur le vieillissement des immigrés en France. Armand Colin, Paris
Baetschmann G, Staub K, Winkelmann R (2013) Reconsidering panel data methods for ordered response variables, with an application to the effect of unemployment on life satisfaction. Mimeo, University of Zurich
Bhalotra S, Valente C, Van Soest A (2010) The puzzle of muslim advantage in child survival in India. J Health Econ 29:191–204
Behrman J (1997) Intrahousehold distribution and the family. In: Rosenzweig M R, Stark O (eds) Handbook of population and family economics. Elsevier, North-Holland, pp 125–187
Bhat PN, Francis Zavier AJ (2005) Fertility decline and gender bias in Northern India. Demogr 40:637–657
Bisin A, Patacchini E, Verdier T, Zenou Y (2008) Are Muslim immigrants different in terms of cultural integrationJ Eur Econ Assoc 6:445–456
Bisin A, Patacchini E, Verdier T, Zenou Y (2011) Errata Corrige: are Muslim immigrants different in terms of cultural integrationJ Eur Econ Assoc 9:1012–1019
Bisin A, Verdier T (2011) The economics of cultural transmission and socialization. In: Benhabib J, Bisin A, Jackson M (eds) Handbook of social economics, vol 1A. Elsevier, North-Holland, pp 339–416
Bohlmark A (2008) Age at immigration and school performance: a siblings analysis using Swedish register data. Labour Econ 15:1366–1387
Booth A, Kee H (2009) Birth order matters: The effect of family size and birth order on educational attainment. J Popul Econ 22:367–397
Butler J S, Moffitt R (1982) A computationally efficient quadrature procedure for the one-factor multinomial Probit model. Econometrica 50:761–764
Card D (1999). In: Ashenfelter OC, Card D (eds) The causal effect of education on earnings, vol 3A. Elsevier, Amsterdam, pp 1801–1863
Chamberlain G (1980) Analysis of covariance with qualitative data. Rev Econ Stud 47:225–238
Chiswick B (1988) Differences in education and earnings across racial and ethnic groups: tastes, discrimination, and investment in child quality. Q J Econ 103:571–597
Constant A, Zimmermann K (2013) International handbook on the economics of migration. Edward Elgar, Cheltenham
Constant A, Gataullina L, Zimmermann K, Zimmermann L (2006) Clash of cultures: Muslims and Christians in the ethnosizing process. IZA Discussion Paper 2350
Constant A, Nottmeyer O, Zimmermann K (2012) Cultural integration in Germany. In: Algan Y, Bisin A, Manning A, Verdier T (eds) Cultural integration of immigrants in europe. Oxford University Press, Oxford, pp 69–124
Das M, Van Soest A (1999) A panel data model for subjective information on household income growth. J Econ Behav Organ 40:409–426
Domingues Dos Santos M, Wolff F C (2011) Human capital background and the educational attainment of the second-generation immigrants in france. Econ Educ Rev 30:1085–1096
Dustmann C, Frattini T (2011) Immigration: The European experience. IZA Discussion Paper 6261
Dustmann C, Frattini T, Gianandrea L (2012) Educational achievement of second generation immigrants: an international comparison. Econ Policy 27:143–185
Dustmann C, Glitz A (2011) Migration and education. In: Hanushek E, Machin S, Woessmann L (eds) Handbook of the economics of education, vol 4. Elsevier, Amsterdam, pp 327–441
Ejrnaes M, Portner C (2004) Birth order and the intrahousehold allocation of time and education. Rev Econ Stat 86:1008–1019
Fernandez R (2011) Does culture matter?. In: Benhabib J, Bisin A, Jackson M (eds) Handbook of social economics, vol 1A. Elsevier, Amsterdam, pp 481–510
Fernandez R, Fogli A (2006a) Fertility: the role of culture and family experience. J Eur Econ Assoc 4:552–561
Fernandez R, Fogli A (2006b) Culture: an empirical investigation of beliefs, work, and fertility. Am Econ J Macroecon 1:146–177
Frechette G R (2001) Random effects ordered Probit. Stata Tech Bull 159:23–27
Gang I, Zimmermann K (2000) Is child like parent? Educational attainment and ethnic origin. J Hum Resour 35:550–569
Garcia-Munoz T, Neuman S (2013) Is religiosity of immigrants a bridge or a buffer in the process of integration? A comparative study of Europe and the United States. In: Zimmermann K (ed) Constant A. International handbook on the economics of migration. Edward Elgar, Cheltenham
Garg A, Morduch J (1998) Sibling rivalry and the gender gap: evidence from child health outcomes in Ghana. J Popul Econ 11:471–493
Giuliano P (2007) Living arrangements in Western Europe: does cultural origin matterJ Eur Econ Assoc 5:927–952
Hajj M, Panizza U (2009) Religion and education gender gap: are Muslims differentEcon Educ. Rev 28:337–344
Heckman J, Stixrud J, Urzua S (2006) The effects of cognitive and noncognitive abilities on labor market outcomes and social behavior. J. Labor Econ. 24:411–482
Magnac T, Thesmar D (2002) Analyse économique des politiques éducatives: l’augmentation de la scolarisation en France de 1982 à 1993. Annales d’Economie et Statistiques 65:1–34
Ozyurt S (2009) Living Islam in a non-Muslim society: how religiosity affects acculturation and civic integration of muslim immigrant women in Western host societies. CCIS, Mimeo
Picard N, Wolff F C (2010) Measuring educational inequalities: evidence from Albania. J Popul Econ 23:989–1023
Schaafsma J, Sweetman A (2001) Immigrants earnings: age at migration matters. Canadian J Econ 34:1066–1099
Van Ours J, Veenman J (2006) Age at immigration and educational attainment of young immigrants. Econ Lett 90:310–316
Van Tubergen F, Sindradottir J (2011) The religiosity of immigrants in Europe: a cross-national study. J Sci Stud Relig 50:272–288
Wolff F C, Spilerman S, Attias-Donfut C (2007) Transfers from migrants to their children: evidence that altruism and cultural factors matter. Rev Income Wealth 53:619–644
Acknowledgements
We would like to thank our editor Klaus F. Zimmermann, two anonymous referees, Christian Dustmann, and seminar participants at the Conference in Economics of the Family in the honor of G. Becker, Paris, for their very helpful comments and suggestions. Andreea Mitrut gratefully acknowledges support from Jan Wallanders and Tom Hedelius Fond and from the Scientific Council of Sweden and the European Research Council (through Mikael Lindahl’s) ERC 2009 starting grant 24116. Any remaining errors are ours.
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Mitrut, A., Wolff, FC. Investing in children’s education: are Muslim immigrants different?. J Popul Econ 27, 999–1022 (2014). https://doi.org/10.1007/s00148-014-0519-7
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DOI: https://doi.org/10.1007/s00148-014-0519-7