This study seeks to explain the observed differences in the earnings of individual Canadians by sex. The study uses data from the micro data file of the 1986 Survey of Consumer Finances of individuals age 15 and over, with and without income. To a large extent, the study follows the examples presented in other Canadian studies conducted by Holmes (1974), Robb (1978), Gunderson (1980), Goyder (1981) and Ornstein (1983). Employment earnings account for an overwhelming proportion of the total income received by individuals. Thus, the examination of the earnings differential attempts to address the root causes of many of the problems faced by nontraditional families. Canadian society is no longer largely composed of the traditional family with a working father and the homemaking mother. The growing number of dual-earner couples, single and childless adults, and households headed by women presents a difficult challenge for social policy. The male-female earnings disparity is a key component in exacerbating problems that include the availability of credit for women, the feminization of poverty, access to affordable and adequate housing, and adequate incomes for retirement. To effectively address the problems that have resulted from the interaction of greater female participation in the labour force and the formation of alternate household types, planners and policy makers need to address the root problem of sexual inequality in the labour force, and not solely the symptoms. In the context of changing family structure and the economic position of women, the focus of this study is to identify the size of the male-female earnings gap, and to determine the extent to which the earnings gap can be explained by personal, work and productivity-related characteristics. The impact of these factors are analyzed from two points of view. First, the impact of individual factors on the level of earnings are analyzed through a simple comparison of mean earnings of men and women across a variety of characteristics. Second, the influence of these factors on earnings, and the degree of inequality between the earnings of men and women, is analyzed using multiple linear regression analysis. Regression analysis is used to estimate separate earnings equations for men and women. From the separate earnings equations, the wage gap can be partitioned into three parts, due to differences in (1) constant terms, (2) mean levels of the independent variables, and (3) the returns of the independent variables. Further, to assess the impact of occupational and industrial segregation on the earnings gap, a second set of earnings equations are calculated that do not include measures of occupational and industrial segregation. The calculations of separate earnings equations for men and women, for the selected sample, produced an unadjusted earnings ratio of 0.66. After adjustments were made for the ten productivity and productivity-related factors considered in the analysis, including occupational and industrial distributions, the ratio increased to 0.79. This left an earnings gap of $5,985 (1985 dollars) that could not be assigned to any of the measured variables. While part of the unexplained residual may be explained by variables not included in the analysis, or by more careful measurement of existing variables, it seems likely that at least 20 percentage points of the earnings gap is attributable to "an amalgam of different forms of discrimination which, taken together, disadvantage women relative to men", (Denton and Hunter, 1982). Discrimination is defined as different returns in earnings for equal productivity characteristics, as given by the regression coefficients. Of the total earnings gap of 34 percent, approximately 60% of this is attributable to wage discrimination, and approximately 40% is due to differences in productivity-related characteristics Occupational and industrial segregation account for a large proportion of the earnings gap. The adjusted earnings ratio, when occupational and industrial segregation are not considered endowments, is 0.69. Thus, the difference between the full-regression equation and the partial regression equation indicates that occupational and industrial segregation accounts for approximately 30% of the earnings gap. / Applied Science, Faculty of / Community and Regional Planning (SCARP), School of / Graduate

Recent advances in machine learning offer social scientists a unique opportunity to use data-driven methods to uncover insights into human behavior. However, current machine learning methods are opaque, ineffective on small social science datasets, and tailored for predicting unseen values rather than estimating parameters from data. In this thesis, we develop interpretable machine learning techniques designed to uncover latent patterns and estimate critical quantities in the social sciences. We focus on two aspects of interpretability: explaining individual model predictions and discovering latent patterns from data. We describe a method for explaining the predictions of general, black-box sequence models. This method approximates a combinatorial objective to elucidate the decision-making processes of sequence models. Next, we narrow our focus to domain-specific applications. In political science, we develop the text-based ideal point model, a model that quantifies political positions from text. This model marries a classical idea from political science with a Bayesian matrix factorization technique to infer meaningful structure from text. In labor economics, we adapt a model from natural language processing to analyze career trajectories. We describe a transfer learning method that can overcome the constraints posed by small survey datasets. Finally, we adapt this predictive model to estimate an important quantity in labor economics: the history-adjusted gender wage gap.

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This research attempted to evaluate the pay-gap between women with children and women without children. Previous literature consistently concludes women with children will have lower incomes than women without children. The income determination model is composed of individual, structural, and gender segments and is used to examine the pay-gap between these two groups. The 2004 American Time Use Survey dataset is used to analyze the hypothesis that women with children will have a lower income than women without children. Results in this research contradict previous research. OLS Regression revealed women with children have a higher income than women without children. However, further analysis showed women without children have higher economic return for their age and occupational prestige than do women with children. The structural segment in the income determination model explained the disparity more than the other two segments. Policy implications are discussed. / Thesis (M.A.)--Wichita State University, College of Liberal Arts and Sciences, Dept. of Sociology.

The post-1994 role of women in the South African economy is changing with respect to issues such as education and employment opportunities. In the past, men tended to hold the primary or ‘good’ jobs, which have the greatest stability and promotional potential, whilst women tended to hold the secondary or ‘poor’ jobs, which have lower stability and lower wages (Kelly, 1991). Women’s labour force participation has risen significantly over the years since 1994, but more in depth research is needed in order to determine where and how changes could be implemented to ensure that any past gender inequalities fall away with minimal impact on the economy as a whole. As such, certain dynamics within the labour market need to be considered. Firstly, pre-market types of discrimination, including issues such as gender discrimination during the acquisition of human capital through educational attainment should be considered. In most countries, women enter the labour market with severe disadvantage in that they have been subject to discrimination in schooling opportunities (Standing, Sender & Weeks, 1996). Secondly, the feminisation of the labour force is dealt with, as well as what factors affect the female labour force participation decision (i.e. the decision of whether to participate in the labour market or not). iv Thirdly, employment discrimination is investigated, including the concept of ‘occupational crowding’. An analysis of trends in the occupational structure of economically active women in South Africa shows the typical shift out of agriculture into industrial related jobs (Verhoef, 1996). Lastly, wage discrimination is analysed, in order to determine if women get lower rates of pay for ‘equal work’. The objectives of this study are aimed at determining whether there have been any positive changes with respect to women in any of these focal areas mentioned above. There are studies that have established gender differentials when it comes to formal education, and these place women at the disadvantaged end (Bankole & Eboiyehi, 2000). If one considers the educational measures, namely, the levels of literacy, years of education, and overall educational attainment, employed by this country to determine whether there are in fact observed differences between the education of boys and girls, the following was found: Males rate higher with respect to two of these measures, namely literacy and educational attainment, and are thus able to exhibit lower levels of poverty than females in South Africa. Men exhibit slightly higher literacy rates than women of the same age (Statistics South Africa, 2002), and men also rate higher than women when it comes to university education. With regards to primary and secondary school attainment v since 1994, the gender gap does appear to have disappeared. The ‘neoclassical model of labour-leisure choice’, as applied in this study, shows that as the wage rate increases, women have an incentive to reduce the time they allocate to the household sector and are more likely to enter the labour market. In South Africa, however, the increase in the female participation rate has merely translated into a rise in unemployment and has not been associated with an increase in the demand for female labour. This implies that South African women are being ‘pushed’ into the labour market due to economic need, rather than being ‘pulled’ into the labour market in order to earn a higher wage. Women are gradually becoming better represented at all levels across a wide range of occupations. Women, however, continue to face greater prospects of unemployment and to earn less than their male counterparts even when they do find employment. These lower female wages are partly as a result of ‘occupational crowding’, whereby women are over-represented in certain occupations resulting in excess labour supply which drives down the wage rate. It has been determined that the problem of occupational crowding is a real and immediate one and has been found to depress wages within certain female specific occupations.

This study investigated the economic returns from higher education for re-entry women. Re-entry women are continually concerned with whether or not returning to college and acquiring a degree will result in increased earnings. While sufficient evidence exists to show that earnings increase as years of education increase, this study concluded that this may not hold true for re-entry women. As a result of prior work experience, these women may have relatively high earnings among the occupations that do not require college degrees only to acquire entry-level positions upon completion of the college degree. There may be little or no difference between the salaries of these two work levels. This study was directed by the major research question -- "Does the age at the time females obtain four-year degrees affect their subsequent earnings?" and used path analysis to test a model of the direct and indirect effects of age at the time the degree is received on earnings while holding constant the effects of other variables. These analyses included and accounted for labor market, human capital and socioeconomic variables, prior earnings, race, prior work experience, college major and occupation, all of which may affect earnings. The findings did not support the null hypothesis that earnings for re-entry women will increase after the receipt of the college degree. The findings also indicated that earnings before the degree had a significant effect on earnings after the degree. / Ph. D.

Kung Ching-yi. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2002. / Includes bibliographical references (leaves 187-191). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iii / Table of Contents --- p.v / List of Figures --- p.vi / List of Tables --- p.vii / Chapter Chapter 1. --- Introduction --- p.1 / Chapter Chapter 2. --- Literature Review --- p.8 / Chapter Chapter 3. --- Data --- p.32 / Chapter Chapter 4. --- The Gender Wage Differential: A First Look --- p.49 / Chapter Chapter 5. --- Returns to Schooling --- p.89 / Chapter Chapter 6. --- Decomposition of Gender Wage Differential --- p.140 / Chapter Chapter 7. --- Change of the Gender Wage Differentials from 1988through1999 --- p.163 / Chapter Chapter 8. --- Conclusion --- p.178 / Appendix: Alternative Treatments of Schooling Years and Potential Experience --- p.181 / References --- p.187

published_or_final_version / Economics and Finance / Master / Master of Economics

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