Showing 1 - 10 of 101
, ethnicity, and gender in the United States. However, the data necessary to detect possible discrimination and to act to counter … pictures to identify race, ethnicity, and gender. We show that one can use LinkedIn data to obtain reasonably reliable measures … of workforce demographic composition by race, ethnicity, and gender, based on validation exercises comparing estimates …
Persistent link: https://www.econbiz.de/10014512147
This chapter reviews key literature studying the effects of wars on minority and underrepresented groups in U.S. labor markets in the 20th century. These labor markets, characterized by historically pervasive barriers to entry into certain occupations and industries, promotions, and fair pay for...
Persistent link: https://www.econbiz.de/10014421237
We analyze temporal trends in cultural distance between groups in the US defined by income, education, gender, race … based on his or her (i) media consumption, (ii) consumer behavior, (iii) time use, or (iv) social attitudes. Gender …
Persistent link: https://www.econbiz.de/10012452950
state and federal minimum wage policies on gender, race, and ethnic inequality throughout the wage distribution, focusing on … gender, racial, and ethnic inequality in the present day …
Persistent link: https://www.econbiz.de/10014372482
We study whether student-advisor gender and race composition matters for publication productivity of Ph.D. students in … introduction of doctoral programs in this country. We investigate the joint effects of gender and race for the whole sample and … female students working with male advisors when looking at the joint effects of gender and race for the white-white and black …
Persistent link: https://www.econbiz.de/10014322734
on the depiction of risk and gender roles. Films that promote risk-taking sell more in entrepreneurial societies today … continue to find a robust audience in societies with similar gender stereotypes in their folklore and where women today …
Persistent link: https://www.econbiz.de/10014512074
Implementing a state-of-the-art machine learning technique for causal identification from text data (C-TEXT), we document that patents authored by female inventors are under-cited relative to those authored by males. Relative to what the same patent would be predicted to receive had the lead...
Persistent link: https://www.econbiz.de/10014337825
Actual and perceived gender norms are key to understanding gender inequality in society. In this paper, using newly … collected nationally representative datasets from 60 countries that cover over 80% of the world population, we study gender … norms on two distinct policy issues: 1) basic rights, allowing women to work outside of the home, and 2) affirmative action …
Persistent link: https://www.econbiz.de/10014247970
heritage the more integrated are the neighborhoods where they reside and work. Data on ethnic preferences and attitudes …
Persistent link: https://www.econbiz.de/10012462192
Are identities fungible? How do people come to identify with specific groups? This paper proposes a revealed preference approach, using food consumption to uncover ethnic and religious identity choices in India. We first show that consumption of identity goods (e.g. beef and pork) systematically...
Persistent link: https://www.econbiz.de/10012479644