213 research outputs found

    Attitudes Towards Economic Risk and the Gender Pay Gap

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    This paper examines the links between gender differences in attitudes towards economic risk and the gender pay gap. Consistent with the literature on the socio-economic determinants of attitudes towards economic risk, it shows that females are much more risk averse than males. It then extends this research to show that workers with more favorable attitudes towards risk are associated with higher earnings, and that gender differences in attitudes towards economic risk can account for a small, though important, part of the standardized gender pay gap

    Earnings of men and women in firms with a female dominated workforce : what drives the impact of sex segregation on wages?

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    This study analyzes the relationship between the segregation of women across establishments and the salaries paid to men and women. My aim is to separate the impact the proportion of women working within an establishment has upon individual wages. For this purpose hypotheses are formulated as to what drives this impact: sex-specific preferences, lower qualifications among women or discrimination against women. To investigate this issue empirically, I use matched employer-employee data from Germany. My results indicate that an increasing proportion of women in an establishment reduces wages for males and females in both western and eastern Germany. Furthermore the empirical analysis shows that by successively including worker and establishment characteristics, the number of females in an establishment has a severely detrimental effect upon the salaries paid to both sexes

    The Diffusion of IT in Higher Education: Publishing Productivity of Academic Life Scientists

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    This study investigates widening access to the Internet and other advancements in IT across institutions of higher education and how these advances have affected the publishing productivity of academic life scientists. What distinguishes this study is that institutional IT access is measured across a wide range of institutions and multiple IT indicators are considered: 1) the adoption of BITNET; 2) the registration of domain names (DNS); 3) the availability of the electronic journal database, JSTOR; and 4) the availability of electronic library resources. Data on life scientists are drawn from the 1983, 1995, 2001, and 2003 Survey of Doctorate Recipients. Universities and colleges are classified into several tiers, depending upon research intensity. Three hypotheses are tested: 1) IT enhances the careers of faculty, independent of tier; 2) IT improves the careers of faculty at lower-tiered relative to higher-tiered institutions; and 3) within tier, the IT revolution increases women’s publication rates relative to their male counterparts. The study finds that the diffusion of IT in higher education follows the standard S-curve, with highertiere

    Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study

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    Recent advances have led to the discovery of specific genetic variants that predict educational attainment. We study how these variants, summarized as a genetic score variable, are associated with human capital accumulation and labor market outcomes in the Health and Retirement Study (HRS). We demonstrate that the same genetic score that predicts education is also associated with higher wages, but only among individuals with a college education. Moreover, the genetic gradient in wages has grown in more recent birth cohorts, consistent with interactions between technological change and labor market ability. We also show that individuals who grew up in economically disadvantaged households are less likely to go to college when compared to individuals with the same genetic score, but from higher socioeconomic status households. Our findings provide support for the idea that childhood socioeconomic status is an important moderator of the economic returns to genetic endowments. Moreover, the finding that childhood poverty limits the educational attainment of high-ability individuals suggests the existence of unrealized human potential

    State Control and the Effects of Foreign Relations on Bilateral Trade

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    Do states use trade to reward and punish partners? WTO rules and the pressures of globalization restrict states’ capacity to manipulate trade policies, but we argue that governments can link political goals with economic outcomes using less direct avenues of influence over firm behavior. Where governments intervene in markets, politicization of trade is likely to occur. In this paper, we examine one important form of government control: state ownership of firms. Taking China and India as examples, we use bilateral trade data by firm ownership type, as well as measures of bilateral political relations based on diplomatic events and UN voting to estimate the effect of political relations on import and export flows. Our results support the hypothesis that imports controlled by state-owned enterprises (SOEs) exhibit stronger responsiveness to political relations than imports controlled by private enterprises. A more nuanced picture emerges for exports; while India’s exports through SOEs are more responsive to political tensions than its flows through private entities, the opposite is true for China. This research holds broader implications for how we should think about the relationship between political and economic relations going forward, especially as a number of countries with partially state-controlled economies gain strength in the global economy

    Missing Links: Referrer Behavior and Job Segregation

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    How does referral recruitment contribute to job segregation, and what can organizations do about it? Current theory on network effects in the labor market emphasizes the job-seeker perspective, focusing on the segregated nature of job-seekers’ information and contact networks, and leaves little role for organizational influence. But employee referrals are necessarily initiated from within a firm by referrers. We argue that referrer behavior is the missing link that can help organizations manage the segregating effects of referring. Adopting the referrer’s perspective of the process, we develop a computational model which integrates a set of empirically documented referrer behavior mechanisms gleaned from extant organizational case studies. Using this model, we compare the segregating effects of referring when these behaviors are inactive to the effects when the behaviors are active. We show that referrer behaviors substantially boost the segregating effects of referring. This impact of referrer behavior presents an opportunity for organizations. Contrary to popular wisdom, we show that organizational policies designed to influence referrer behaviors can mitigate most if not all of the segregating effects of referring
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