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Women and minorities have entered higher paying occupations, but their overall earnings still lag behind those of white men. Why? Looking nationwide at workers across all employment levels and occupations, the author examines the unexpected ways that prejudice and workplace discrimination continue to plague the labor market. He probes the mechanisms by which race and sex groups are sorted into "appropriate" jobs, showing how the resulting segregation undercuts earnings. He also uses an innovative integration of race-sex queuing and segmented-market theories to show how economic and social contexts shape these processes. His analysis reveals how race, sex, stereotyping, and devaluation interact to create earnings disparities, shedding new light on a vicious cycle that continues to the leave women and minorities behind.
Labor market. --- Discrimination in employment. --- Sex discrimination against men. --- Sex discrimination against women. --- Discrimination against women --- Subordination of women --- Women, Discrimination against --- Feminism --- Sex discrimination --- Women's rights --- Male domination (Social structure) --- Discrimination against men --- Men, Discrimination against --- Bias, Job --- Employment discrimination --- Equal employment opportunity --- Equal opportunity in employment --- Fair employment practice --- Job bias --- Job discrimination --- Race discrimination in employment --- Employment (Economic theory) --- Affirmative action programs --- Employees --- Market, Labor --- Supply and demand for labor --- Markets --- Supply and demand
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The author explains what heteroskedasticity is and how to detect and diagnose it. He describes variance-stabilizing transformations to correct for it, and discusses consistent (robust) standard errors, generalized least squares regression models and choosing among correction options.
Heteroscedasticity. --- Regression analysis. --- Least squares. --- Econometrics. --- Social sciences --- Statistical methods.
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‶This book is remarkable in its accessible treatment of interaction effects. Although this concept can be challenging for students (even those with some background in statistics), this book presents the material in a very accessible manner, with plenty of examples to help the reader understand how to interpret their results." -Nicole Kalaf-Hughes, Bowling Green State University Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects. The book develops the statistical basis for the general principles of interpretive tools and applies them to a variety of examples, introduces the ICALC Toolkit for Stata, and offers a series of start-to-finish application examples to show students how to interpret interaction effects for a variety of different techniques of analysis, beginning with OLS regression. The author's website at www.icalcrlk.com provides a downloadable toolkit of Stata® routines to produce the calculations, tables, and graphics for each interpretive tool discussed. Also available are the Stata® dataset files to run the examples in the book.
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Psychologie légale --- Famille --- Forensic psychology --- Domestic relations --- Droit --- Psychologie légale
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