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

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Presentation transcript:

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 1.Introduction 2.Data & Methodology 3.Empirical Results 4.Summary

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

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 1)Who intermarries and why? 2)Consequences on Intermarried Couples - Economic outcomes 3)Consequences on multiethnic children - Socioeconomic outcomes - Ethnic Identity

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

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

Methodology 1.Logistic Regression X i = Demographic & Human Capital Characteristics - agecentred - Degree qualification in agecentred 2 - Service class in generation - Working Full-Time F i = Family Characteristics - Partner has degree in Intermarried - Dependent children

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

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

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

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

Table 1: White Male: Determinants of Probability of Being in Professional/Managerial Class in 2001 Logit Model Treatment Effect Model B S.E. B Socio-economic characteristics Agecentred Agecentred Degree qualification Be in Professional/Managerial in Working full-time Family characteristics Spouse has degree One dependent children Two or more children Coethnic married Intermarried Constant N63,761 63,540 Source: ONS Longitudinal Study

Table 2: Non-White Male: Determinants of Probability of Being in Professional/Managerial Class in 2001 Logit Model Treatment Effect Model B S.E. B Socio-economic characteristics Agecentred Agecentred Born in UK Degree qualification Be in Professional/Managerial in Working full-time Family characteristics Spouse has degree One dependent children Two or more children Coethnic married Intermarried Constant N3,771 3,738 Source: ONS Longitudinal Study

Table 2-A: Probit Analysis of Probability of Intermarriage for Non- White Men Women B S.E. B Agecentred Agecentred Born in UK Degree qualification Christian Buddhist Hindu Jewish Muslim Sikh Other religion No religion Log white/own ethnic ratio Constant N3,738 2,507 Source:ONS Longitudinal Study

Table 3: Black Caribbean Male: Determinants of Probability of Being in Professional/Managerial Class in 2001 Logit Model Treatment Effect Model B S.E. B Socio-economic characteristics Agecentred Agecentred Born in UK Degree qualification Be in Professional/Managerial in Working full-time Family characteristics Spouse has degree One dependent children Two or more children Coethnic married Intermarried Constant N Source: ONS Longitudinal Study

Table 4: Black African & Black Other Male: Determinants of Probability of Being in Professional/Managerial Class in 2001 Logit Model Treatment Effect Model B S.E. B Socio-economic characteristics Agecentred Agecentred Born in UK Degree qualification Be in Professional/Managerial in Working full-time Family characteristics Spouse has degree One dependent children Two or more children Coethnic married Intermarried Constant N Source: ONS Longitudinal Study

Table 5: Indian Male: Determinants of Probability of Being in Professional/Managerial Class in 2001 Logit Model Treatment Effect Model B S.E. B Socio-economic characteristics Agecentred Agecentred Born in UK Degree qualification Be in Professional/Managerial in Working full-time Family characteristics Spouse has degree One dependent children Two or more children Coethnic married Intermarried Constant N1,733 1,732 Source: ONS Longitudinal Study

Table 6: Pakistani Male: Determinants of Probability of Being in Professional/Managerial Class in 2001 Logit Model Treatment Effect Model B S.E. B Socio-economic characteristics Agecentred Agecentred Born in UK Degree qualification Be in Professional/Managerial in Working full-time Family characteristics Spouse has degree One dependent children Two or more children Coethnic married Intermarried Constant N727 Source: ONS Longitudinal Study

Table 7: Chinese Male: Determinants of Probability of Being in Professional/Managerial Class in 2001 Logit Model Treatment Effect Model B S.E. B Socio-economic characteristics Agecentred Agecentred Born in UK Degree qualification Be in Professional/Managerial in Working full-time Family characteristics Spouse has degree One dependent children Two or more children Coethnic married Intermarried Constant N166 Source: ONS Longitudinal Study

Table 8: White Female: Determinants of Probability of Being in Professional/Managerial Class in 2001 Logit Model 1 Logit Model 2 Treatment Effect B S.E. B B Socio-economic characteristics Agecentred Agecentred Degree qualification Be in Professional/Managerial in Working full-time Family characteristics Spouse has degree One dependent children Two or more children Coethnic married Intermarried Constant N65,741 62,082 61,855 Source: ONS Longitudinal Study

Table 9: Non-White Female: Determinants of Probability of Being in Professional/Managerial Class in 2001 Logit Model Treatment Effect Model B S.E. B Socio-economic characteristics Agecentred Agecentred Born in UK Degree qualification Be in Professional/Managerial in Working full-time Family characteristics Spouse has degree One dependent children Two or more children Coethnic married Intermarried Constant N2,538 2,507 Source: ONS Longitudinal Study

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

 THANK YOU  Special thanks to Julian Buxton