The present study employs 1993 Continuous Sample Survey of the Population data for Trinidad and Tobago to investigate the causes of gender income differentials. The findings suggest that such differentials are not well explained by differences in levels of human capital and other measured factors valued by the labour market. This result is robust to the disaggregation of the data into African, Indian and Other ethnic groups thereby raising the possibility of gender discrimination. African and Indian women's incomes would increase by over 20 per cent with the returns to the measured factors of their male, ethnic counterparts. Women would benefit from having men's industry distribution of jobs, but not men's occupational distribution. African women appear to be significantly more disadvantaged relative to their male counterparts than are Indian or Other women.Gender Income Differentials, Determinants, Population, Gender Discrimination, Distribution of Jobs, Trinidad and Tobago,

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This study employs 1993 Continuous Sample Survey of the Population (CSSP) data for Trinidad and Tobago to investigate the determinants of earnings by ethnicity. The data, organised into three ethnic groupings, reveal lower levels of remuneration in the labour market for Africans and Indians than for individuals of other ethnicities taken as a whole. While the larger portion of the earnings differentials generally appears to be explained by ethnic differences in characteristics valued by the labour market, Africans and Indians would benefit substantially if they were to receive the same rates of remuneration for their educational endowments as workers of other ethnicities in the Trinidad and Tobago labour market. Notwithstanding Indians' lowest average earnings, Africans appear more likely to be discriminated against.

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This article employs a unique data set from 1993 with 7,063 working men and women from Trinidad and Tobago to examine the impact of ethnicity and socioeconomic status upon marital earnings premiums. It finds a significant marriage premium for both males and females. Ethnicity is found to play a crucial role in marital premiums with more advantaged ethnic groups having generally higher premiums. This result is strengthened when controlling for socioeconomic status, which is found to increase the size of marital premiums for all workers, regardless of gender or ethnicity. Earnings regressions with endogenous marital status confirm these results and further highlight the importance of socioeconomic status.