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Do Intermarried Individuals Perform Better in the Labour Market?

Do Intermarried Individuals Perform Better in the Labour Market?. Raya Muttarak Supervisor: Prof. Anthony Heath Department of Sociology, University of Oxford Data Supporter: Julian Buxton. Presentation Outline Introduction Data & Methodology Empirical Results Summary.

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Do Intermarried Individuals Perform Better in the Labour Market?

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  1. Do Intermarried Individuals Perform Better in the Labour Market? Raya Muttarak Supervisor: Prof. Anthony Heath Department of Sociology, University of Oxford Data Supporter: Julian Buxton

  2. Presentation Outline • Introduction • Data & Methodology • Empirical Results • Summary

  3. Figure 1: Married couples: by whether or not • they are in an inter-ethnic marriage • Source: Census 2001, England & Wales Figure 2: Percentage of Intermarried Men & Women • Source: Census 2001, England & Wales

  4. Background • Abundant research done in US • Extant studies in UK are mainly qualitative ones • Most recent quantitative study about trends of intermarriage is Berrington (1996) using Census 1991 Research Questions • Who intermarries and why? • Consequences on Intermarried Couples - Economic outcomes • Consequences on multiethnic children - Socioeconomic outcomes - Ethnic Identity

  5. Data ONS Longitudinal Study ● LS members enumerated at both the 1991 & 2001 Censuses ● LS members aged 18 – 55 years old in 1991 ● 109,459 men and 117,956 women

  6. Economic Outcomes Gendered division of labour in household Social Capital/ Socialnetwork Similar socio-cultural characteristics with natives Selectioneffect Economic Assimilation Model Marriage Premium Intermarriage Premium (Do intermarried individuals perform better in the labour market than their co-ethnic married counterparts?)

  7. Methodology Logistic Regression Xi = Demographic & Human Capital Characteristics - agecentred - Degree qualification in 1991 - agecentred2 - Service class in 1991 - generation - Working Full-Time Fi = Family Characteristics - Partner has degree in 1991 - Intermarried - Dependent children

  8. Endogeneity Problem Personality Intermarriage Unobserved Characteristics Better Economic Outcomes Beauty Ability 2. Treatment Effects Model  Estimate 2 regressions simultaneously 1) Probit analysis predicting the probability of intermarriage Intermarried*i = Ki + 2i Binary treatment is 2) Probability of being in service class

  9. Figure 2.1: Male Marital Status in 1991 Source: ONS Longitudinal Study

  10. Figure 2.2: Female Marital Status in 1991 Source: ONS Longitudinal Study

  11. Figure 3: Percentage Distribution of Intermarried Men & Women in 1991 Source: ONS Longitudinal Study

  12. Table 1: White Male: Determinants of Probability of Being in Professional/Managerial Class in 2001

  13. Table 2: Non-White Male: Determinants of Probability of Being in Professional/Managerial Class in 2001

  14. Table 2-A: Probit Analysis of Probability of Intermarriage for Non- White

  15. Table 3: Black Caribbean Male: Determinants of Probability of Being in Professional/Managerial Class in 2001

  16. Table 4: Black African & Black Other Male: Determinants of Probability of Being in Professional/Managerial Class in 2001

  17. Table 5: Indian Male: Determinants of Probability of Being in Professional/Managerial Class in 2001

  18. Table 6: Pakistani Male: Determinants of Probability of Being in Professional/Managerial Class in 2001

  19. Table 7: Chinese Male: Determinants of Probability of Being in Professional/Managerial Class in 2001

  20. Table 8: White Female: Determinants of Probability of Being in Professional/Managerial Class in 2001

  21. Table 9: Non-White Female: Determinants of Probability of Being in Professional/Managerial Class in 2001

  22. Summary of Findings ● Evidence in favour of intermarriage premium ● Marital choice is endogenous ● White do not benefit from intermarriage ● For ethnic minorities intermarriage has positive effect on labour market outcomes - Particularly for Indians and Chinese - Not strong statistical power for Blacks and Pakistanis

  23. THANK YOU Special thanks to Julian Buxton

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