Differential effects of industrial and worker resources on women's wages |
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| Institution: | 1. Autism Clinic for Translational Research, Brain and Mind Centre, Children''s Hospital Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia;2. Brain and Mind Centre, Central Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia;3. School of Biomedical Engineering, The University of Sydney, Sydney, New South Wales, Australia;4. Sydney Imaging, The University of Sydney, Sydney, New South Wales, Australia;5. Swinburne University of Technology, Swinburne Neuroimaging, Melbourne, Victoria, Australia;1. Department of Economics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina;2. Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina;3. Department of Social Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina;1. Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA;2. Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA;3. Department of Pharmacology & Toxicology, Virginia Commonwealth University, Richmond, VA 23298, USA;4. Department of Forensic Science, Virginia Commonwealth University, Richmond, VA 23284, USA;5. Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC 29425, USA;6. Division of Infectious Diseases, Department of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA;1. School of Health Administration, College of Health Professions, Texas State University, San Marcos, TX, USA;2. Department of Rehabilitation and Health Services, College of Health and Public Service, University of North Texas, Denton, TX, USA;3. Toulouse Graduate School, University of North Texas, Denton, TX, USA |
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| Abstract: | A developing body of literature within the sociological examination of income equality has established the significance of industrial and worker resources in the determination of wages. However, there is little available information regarding the uniformity of their effects across different types of workers. This paper attempts to specify the ways in which various resources affect the wage rates of several categories of women workers. The major thesis is that resources produce differential payoffs depending on the location of the worker on various dimensions of stratification. Wage determination among women is hypothesized to vary by age, race, and occupational group. Hypotheses concerning the relative effects of worker and industrial resources on two age groups of black and white women in blue-collar and white-collar occupations are tested. Data from the National Longitudinal Studies of the Labor Market Experiences of Women are used to test models of wage determination among these different groups of women workers. In general, our results suggest that stratification is an important mechanism linking resources to wages and should be incorporated into the resource perspective of labor outcomes. |
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