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Women in medicine face barriers that hinder progress toward top leadership roles, and the industry remains plagued by the grand challenge of gender inequality. The purpose of this study was to explore how subtle and overt gender biases affect women physicians, physician leaders, researchers, and faculty working in academic health sciences environments and to further examine the association of these biases with workplace satisfaction. The study used a convergent mixed methods approach. Sampling from a list of medical schools in the United States, in conjunction with a list of each state's medical society, the authors analyzed the quantitative survey responses of 293 women in medicine. The authors conducted ordinary least squares multiple regression to assess the relationship of gender barriers on workplace satisfaction. Additionally, 132 of the 293 participants provided written open-ended responses that were explored using a qualitative content analysis methodology. The survey results showed that male culture, lack of sponsorship, lack of mentoring, and queen bee syndrome were associated with lower workplace satisfaction. The qualitative results provided illustrations of how participants experienced these biases. These results emphasize the obstacles that women face and highlight the detrimental nature of gender bias in medicine. The authors conclude by presenting concrete recommendations for managers endeavoring to improve the culture of gender equity and inclusivity.

This study examines whether Revenue Procedure 2003-61 is an improvement over Revenue Procedure 2000-15, in the areas of taxpayers’ expectations for IRS equitable relief decisions and gender-related in-group bias. The survey instrument includes a vignette adapted from a judicial decision. The results show that Rev. Proc. 2003-61 does improve upon Rev. Proc. 2000-15. Furthermore, taxpayers perceive different expectations of what the IRS should do and what the IRS would do in equitable relief decision making. Also, gender-related in-group biases are found to be present for both genders. Tax policy implications regarding equitable relief are discussed.

Little research is devoted to how salary allocation processes interfere with gender inequality in talent development in universities. Administrative data from a university indicated a substantial salary gap between men and women academics, which partially could be explained by the unequal distribution of men and women in the academic job levels after acquiring a PhD, from lecturer to full professor, with men being overrepresented in the higher job levels, as well as in the more senior positions within each job level. We demonstrated how a lack of transparency, consistency and accountability can disqualify apparent fair, merit-based salary decisions and result in biased gender differences in job and salary levels. This chapter reflects on how salary decisions matter for the recognition of talent and should be an integral part of talent management.

The economics literature on gender has expanded considerably in recent years, fueled in part by new sources of data, including from experimental studies of gender differences in preferences and other traits. At the same time, economists have been developing more realistic models of psychological and social influences on individual choices and the evolution of culture and social norms. Despite these innovations, much of the economics of gender has been left behind, and still employs a reductive framing in which gender gaps in economic outcomes are either due to discrimination or to “choice.” I suggest here that the persistence of this approach is due to several distinctive economic habits of mind – strong priors driven by market bias and gender essentialism, a perspective that views the default economic agent as male, and an oft-noted tendency to avoid complex problems in favor of those that can be modeled simply. I also suggest some paths forward.

The purpose of this chapter is to combine research findings around gender bias and the challenges women face in academia, and to present a unified conceptual framework. Ample research indicates that the issue is far from sufficiently addressed. Even in cases where policies are in place, mediocre outcomes are observed. Fewer women climb the ladder of academic progression all the way up to senior positions, especially in certain institutions and certain disciplines.

After thoroughly reviewing the literature, the authors integrate and organize the different multifaceted causes that appear to obstruct women in academia. They propose a scheme that divides between contextual and non-contextual factors, emphasizing their interplay.

Even when policies are in place, they appear to have limited results, because they mainly address isolated factors rather than taking a multifaceted, integrative approach.

Future research should further examine the interplay of contextual and non-contextual factors by combining multiple variables that contribute to gender bias in academia.

Policy-making should consider both contextual and non-contextual factors, thus providing more integrative solutions and taking a broader perspective on the issue.

Despite the ample and rising amount of research findings, there is no coherent framework to adequately include all the factors that contribute to gender bias in academia. By integrating and organizing the different, multifaceted causes already pointed out by previous findings, the authors hope to contribute to future research with specific variables to test and correlate, as well as to the formulation of more sophisticated policies.

This paper shows that Amartya Sen admitted self-sacrifice as an opposite motive to self-interest. Between the eighties and the nineties, in his works on development economics, Sen often referred to the conditions of women in less developed countries, because these are areas where gender inequality is more pronounced, and women’s well-being is worsened by behavior motivated by self-sacrifice. But these women were affected by a perception bias that made them unable to understand their deprived condition. Perception bias made it harder to improve their freedom and reduce inequality. Sen offered a more complex analysis of economic behavior as compared to his contemporaries. Selfishness and public discussion might be identified as the ideal methods of improving individual well-being when inequality and perception bias leads people to self-sacrifice.

Although preference for sons has been documented among parents in developing countries, it is an open question whether and to what extent intra-household resource allocation is influenced by family sex composition. This study investigates the effects of sex composition on intra-household resource allocation based on the collective household model of Dunbar, Lewbel, and Pendakur (2013). I extend their model to estimate the influences on a household member’s resource share by observing how budget shares of a private assignable good vary not only with total expenditure and family size, but also with family sex composition. Using data from the 2005 Iranian Household Income and Expenditure Survey, I find that family composition significantly affects intra-household resource allocation in Iranian rural areas. Specifically, rural parents assign 1.6–1.9 percentage points more resources toward their sons. These resources are essentially coming at the expense of mothers. In all-boy families, mothers get 2.8–3.6 percentage points fewer resources than they do in all-girl families. These effects are more pronounced among farmer families than nonfarmer families. However, I find no significant role for gender composition in intra-household resource allocation in urban areas.

This chapter focuses on the implications of both the descriptive and prescriptive aspects of gender stereotypes for women in the workplace. Using the Lack of Fit model, we review how performance expectations deriving from descriptive gender stereotypes (i.e., what women are like) can impede women's career progress. We then identify organizational conditions that may weaken the influence of these expectations. In addition, we discuss how prescriptive gender stereotypes (i.e., what women should be like) promote sex bias by creating norms that, when not followed, induce disapproval and social penalties for women. We then review recent research exploring the conditions under which women experience penalties for direct, or inferred, prescriptive norm violations.

Despite Bangladesh’s continued attempts, gender disparity in the workplace has long been a concern, and progress has been slow. Studies conducted earlier indicate that working women in Bangladesh experience an unwelcoming work environment, leading to unequal pay and limited opportunities for their career growth. Academic literature focuses little on the connection between gender and the physical work environment. This chapter focuses on the connection between the masculinist culture of organizations, how work is carried out, and workplaces are set up, illuminating the crucial role played by the built environment in maintaining gender equality. Infrastructure, spatial design, safety measures, amenities, and the biased culture often influence the obstacles to women’s long-term success in the workplace. This chapter investigates and comprehends the constraints female employees encounter in Bangladesh during their work by scrutinizing the influence of the physical space and the biased socio-psychological environment. As women’s long-term professional progress depends on how these elements are interrelated, improving the environment is the first step toward a fairer and more empowered work environment. A qualitative approach has been used in this study. Seventy-eight Bangladeshi graduate, working women have participated in this research. The results show that, regardless of efforts, the environment in Bangladeshi workplaces is inhospitable, directly affecting women’s careers. Building a welcoming workspace accommodating all genders is crucial for creating gender parity and promoting long-term professional growth. Therefore, this research suggests that the government should capitalize on successful efforts and investigate alternative techniques to improve this issue.

This chapter tries to capture the disparity in expenditure on primary education based on gender among the religious groups (Hindu, Muslim, and Christian) in rural India. The gender gap in education expenditure for a certain demographic group is calculated using the Oaxaca–Blinder decomposition approach. Further, we tried to identify the various household-related factors which might influence the decision of spending on a child's education. We used the 75th-level National Sample Survey Office (NSSO) unit-level dataset of July 2017 to June 2018 (one academic year) to obtain data on education expenditure and other household factors which play a manifesting role in the gender gap in expenditure on education. Our finding suggests that the total differential (log mean boys education expenditure-log mean girls education expenditure) is positive among all religious groups signifying the gender bias in education expenditure. We also found that the magnitude of the “Unexplained Effect” component is higher compared to the “Explained Effect” component signifying that the treatment of characteristics by students differs by their sex at elementary education. Household size and if household members are employed on a casual basis, then their expenditure on education falls on the other hand income of the household, a household with computer availability and household member engaged in regular wage/salary earning plays a positive role in expenditure on primary education in rural India.