Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.551669
Title: Employment, occupational segregation and earnings of women in Malaysia
Author: Ching, Goy Siew
Awarding Body: Lancaster University
Current Institution: Lancaster University
Date of Award: 2010
Availability of Full Text:
Access through EThOS:
Abstract:
The gender wage gap is a well documented and much studied outcome of the labour market processes. However, there is no consensus on the causes of this outcome. One line of reasoning is the result of market discrimination against women. In analysing how the passage of time and economic development affects the extent to which discrimination influences economic outcomes, I first analyse it in an international context. This provides us with a means to understand how macroeconomic variables across countries explain variations in wage discrimination. However, countries covered in the international study comprise mainly developed nations. The understanding of the wage discrimination will remain incomplete without considering a rapidly developing economy, such as Malaysia. Using datasets from the Malaysia Population and Family Survey, I specifically look into the earnings differentials between men and women for a period between 1994 and 2004 within the context of the human capital model and its relationship with occupational distribution. As occupational segregation by gender impacts negatively on the earnings gap, first, I / study its extent with both widely used Duncan dissimilarity index and the state-of-the- art method L index between 1985 and 2005. In the subsequent earnings analysis, parametric and semiparametric approaches, with correction for sample selection are used to evaluate the extent of earnings discrimination. Specific attention is focused on (i) the importance of intra-occupational effect and inter-occupational effect in explaining the earnings gap; (ii) the effects of wage structure and unobserved characteristics in accounting for changes in the earnings gap over time; and (iii) the added value of semiparametric estimation in explaining the earnings gap across the entire earnings distribution.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.551669  DOI: Not available
Share: