30 research outputs found

    Individual and institutional determinants of the male female wage gap among U.S. economics faculty

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    This paper provides new evidence on the male female wage gap in academia. Using unique data from the economics discipline, we estimate a human-capital based model to explore the nature of wage differentials among male and female economics professors. Results indicate the salary gap varies across systematically across individual and institutional characteristics.discrimination, wages, academia

    Volume 31, Issue 1 Individual and institutional determinants of the male female wage gap among U.S. economics faculty

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    Abstract This paper provides new evidence on the male female wage gap in academia. Using unique data from the economics discipline, we estimate a human-capital based model to explore the nature of wage differentials among male and female economics professors. Results indicate the salary gap varies across systematically across individual and institutional characteristics

    A Framework For Detecting Noncoding Rare-Variant associations of Large-Scale Whole-Genome Sequencing Studies

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    Large-scale whole-genome sequencing studies have enabled analysis of noncoding rare-variant (RV) associations with complex human diseases and traits. Variant-set analysis is a powerful approach to study RV association. However, existing methods have limited ability in analyzing the noncoding genome. We propose a computationally efficient and robust noncoding RV association detection framework, STAARpipeline, to automatically annotate a whole-genome sequencing study and perform flexible noncoding RV association analysis, including gene-centric analysis and fixed window-based and dynamic window-based non-gene-centric analysis by incorporating variant functional annotations. In gene-centric analysis, STAARpipeline uses STAAR to group noncoding variants based on functional categories of genes and incorporate multiple functional annotations. In non-gene-centric analysis, STAARpipeline uses SCANG-STAAR to incorporate dynamic window sizes and multiple functional annotations. We apply STAARpipeline to identify noncoding RV sets associated with four lipid traits in 21,015 discovery samples from the Trans-Omics for Precision Medicine (TOPMed) program and replicate several of them in an additional 9,123 toPMed samples. We also analyze five non-lipid toPMed traits

    Introduction to time-series modelling and forecasting in business and economics/ Gaynor

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    xxi, 625 hal.: ill.; 24 cm

    Introduction to time-series modelling and forecasting in business and economics/ Gaynor

    No full text
    xxi, 625 hal.: ill.; 24 cm

    Publishing in The Journal of Regional Analysis and Policy and an Evaluation (via Citation Counts) of JRAP’s Influence on Scholarship in Regional Science

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    In this paper we provide an analysis of publishing in the Journal of Regional Analysis and Policy and attempt, through extensive citation counts, to determine the relative influence and importance of both the journal and the authors who have published in JRAP. Much of this information updates the work of an earlier paper (2001) by David Marcouiller and Steve Deller, who were editors of the journal at the time they wrote. We present tables to show multiple authorship and the affiliations of all authors publishing in the journal since its inception. What is new here is the citation analyses which were made possible by the recently constructed web-site “Google Scholar”. Using this website we were able to determine which were the most cited papers in JRAP and also to list the journals and books from which the citations to the most cited papers came. We found that, while JRAP is not heavily cited, there were more than 260 sources of citations to those papers in the journal that were cited 25 or more times. We also computed total citations to the bodies of work by authors of multiple JRAP articles, with sev-eral having 3,000 or more and three having more than 6,000. Our conclusion is that JRAP has had a considerable influence on regional science, primarily through the importance of bodies of work of those who have published in the journal. Finally, as Marcouiller and Deller noted in their 2001 paper, there is still a need to encourage highly influential regional scientists to participate in the various activities of the MCRSA and to submit papers to JRAP
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