An analysis of the enormous changes in women's economic lives around the world, from the family to the labour market. Hoffman and Averett examine topics such as the effect of rising women's wages and improved labour market opportunities on marriage, the ways in which more reliable contraception has shaped women's adult lives and careers, and the forces behind the phenomenal rise in women's labour force activity. This fourth edition includes brand new chapters on gender in economics and race and gender in the USA. It incorporates the latest research findings throughout, many of which are featured in helpful call-out boxes, and illustrated with new graphs and figures. This is invaluable reading for undergraduate and postgraduate students of economics, development and women's studies. The level of economic analysis is suitable for students with basic economics knowledge. New to this Edition: - New chapters on gender in economics and race and gender in economics - Fully updated with new data, policy examples and a new companion website with lecturer resources - Increased pedagogy, with over 30 new boxes
An exploration of workplace participation and earnings patterns for diverse women in US STEM professions that upends the myth that STEM work benefits women economically. Seen as part economic driver, part social remedy, STEM work is commonly understood to benefit both the US economy and people—particularly women—from underrepresented groups. But what do diverse women find when they work in US STEM occupations? What do STEM jobs really deliver—and for whom? In Disparate Measures, Mary Armstrong and Susan Averett challenge the conventional wisdom that a diverse US STEM workforce will bring about economic abundance for the women who participate in it. Combining intersectionality theory and critical data theory with a feminist economic analysis, the authors explore how different groups of diverse women truly fare in US STEM professions. Disparate Measures is centered on eight unique, in-depth case studies, each of which provides an intersectional economic analysis (a term coined by the authors) of diverse women working in STEM occupations. Four case studies prioritize women of color and examine the STEM participation and earnings of Black women, American Indian and Alaska Native women, Asian and Pacific Islander women, and Hispanic women/Latinas; four additional case studies illuminate intersections that are frequently neglected by the STEM inclusivity literature: foreign-born women, women with disabilities, Queer women, and mothers. What the authors find in their groundbreaking, detailed analysis is that the promises of STEM are only partly true: when compared to women not working in STEM, most women are indeed economically elevated by STEM occupations—yet when compared to white men in the same STEM occupations, women’s second-class status is usually reaffirmed. The authors conclude by offering seven “big-picture” recommendations for rethinking STEM equity, showing just how we can successfully confront the entrenched patterns of economic disadvantage faced by diverse women in STEM jobs.
Stories about women in the workforce permeate newspapers, magazines--virtually all media formats devoted to news and commentary in contemporary society. Women's movement into the paid workforce has transformed their lives--and those of their families-and has in many ways reshaped society. This book takes a holistic view of the economic lives of women in the workforce"--
This textbook presents a comprehensive analysis of the enormous changes in women's economic lives around the world, from the family to the labor market. Hoffman and Averett examine a range of fascinating topics such as the effect of rising women's wages and improved labor market opportunities on marriage, the ways in which more reliable contraception has shaped women's adult lives and careers, and the forces behind the phenomenal rise in women's labor force activity. This fourth edition addresses important topics of discussion through brand new chapters on gender in economics and race and gender in the USA. It incorporates the latest research findings throughout, many of which are featured in helpful call-out boxes, and illustrated with new graphs and figures. This is invaluable reading for undergraduate and postgraduate students of economics, development and women's studies. The level of economic analysis is suitable for students with basic economics knowledge. New to this Edition: - New chapters on gender in economics and race and gender in economics. - Fully updated with new data, policy examples and a new companion website with lecturer resources. - Increased pedagogy, withover 30 new boxes. - Policy has been integrated into the main chapters so that connections are clearer. - Intersectional approach.
Stories about women in the workforce permeate newspapers, magazines--virtually all media formats devoted to news and commentary in contemporary society. Women's movement into the paid workforce has transformed their lives--and those of their families-and has in many ways reshaped society. This book takes a holistic view of the economic lives of women in the workforce"--
An exploration of workplace participation and earnings patterns for diverse women in US STEM professions that upends the myth that STEM work benefits women economically. Seen as part economic driver, part social remedy, STEM work is commonly understood to benefit both the US economy and people—particularly women—from underrepresented groups. But what do diverse women find when they work in US STEM occupations? What do STEM jobs really deliver—and for whom? In Disparate Measures, Mary Armstrong and Susan Averett challenge the conventional wisdom that a diverse US STEM workforce will bring about economic abundance for the women who participate in it. Combining intersectionality theory and critical data theory with a feminist economic analysis, the authors explore how different groups of diverse women truly fare in US STEM professions. Disparate Measures is centered on eight unique, in-depth case studies, each of which provides an intersectional economic analysis (a term coined by the authors) of diverse women working in STEM occupations. Four case studies prioritize women of color and examine the STEM participation and earnings of Black women, American Indian and Alaska Native women, Asian and Pacific Islander women, and Hispanic women/Latinas; four additional case studies illuminate intersections that are frequently neglected by the STEM inclusivity literature: foreign-born women, women with disabilities, Queer women, and mothers. What the authors find in their groundbreaking, detailed analysis is that the promises of STEM are only partly true: when compared to women not working in STEM, most women are indeed economically elevated by STEM occupations—yet when compared to white men in the same STEM occupations, women’s second-class status is usually reaffirmed. The authors conclude by offering seven “big-picture” recommendations for rethinking STEM equity, showing just how we can successfully confront the entrenched patterns of economic disadvantage faced by diverse women in STEM jobs.
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