131,690 research outputs found

    Family altruism and incentives

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    The author builds on the altruistic model of the family, to explore the strategic interaction between altruistic parents, and selfish children, when children's efforts are endogenous. If there is uncertainty about the amount of income the children will realize, and if parents have imperfect information, the children have an incentive to exert little effort, and to rely on their parent's altruistically motivated transfers. Because of this, parents face a tradeoff between the insurance that bequests implicitly provide their children, and the disincentive to work prompted by their altruism. The author shows that if parents can credibly commit to a pattern of transfers, they will choose not to compensate children in bad outcomes, as much as predicted by the standard (no uncertainty, no asymmetric information) dynastic model of the family. Alternatively, parents may choose to forgo any insurance, and offer a fixed level of bequest, to elicit greater effort from their children. The optimal transfers structure that the author derives, reconciles the predictions of the altruistic family model, with much of the existing evidence on inter-generational transfers, which suggests that parents compensate only partially, or not at all, for earnings differentials among their children. Moreover, the author shows that Ricardian equivalence holds in this setup, except when non-negativity constraints are binding.Economic Theory&Research,Environmental Economics&Policies,Health Economics&Finance,Educational Sciences,Safety Nets and Transfers

    Lazy Rotten Sons? Relatedness, gender and the intra-household allocation of work and leisure in South Africa

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    We investigate the balance between work (including home production), leisure and personal care (chiefly sleep) within South African households. We use the South African time use survey which enables us to obtain a better measure of the division of total labour (paid and unpaid) within South African households than previous studies have been able to. Furthermore we construct a measure of "genetic" relatedness between the respondent and other members of the household. We find that women that are more closely related to other household members do more work and enjoy less leisure than more peripheral individuals. Single men, by contrast, seem to do less work and enjoy more leisure if they are more closely related to other household members. Our findings are not compatible with the unitary model of the household. They suggest that men extract extra leisure because of the anticipated altruism shown by women.altruism, genetic relatedness, Hamilton’s rule, intra-household allocation, rotten kid theorem, time use

    Comparison of the Coleoptera communities in leaf litter and rotten wood in Great Smoky Mountains National Park, USA

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    The community within extremely decayed downed coarse woody debris, here referred to as decay class V (CWD5), has never been systematically sampled. The presumption has been that rotten wood is eventually overrun by surrounding soil and litter inhabitants. Leaf litter and CWD5 were sampled for Coleoptera with a sifting/ Berlese technique at three primary and three secondary forest sites in Great Smoky Mountains National Park, Tennessee, USA, during fall 2006 and spring 2007. A total of 4261 adult beetle specimens, representing 216 lowest identifiable taxa within 159 genera and 28 families, were collected. Sixty-six species (31%) were represented by single individuals. Many more specimens (3471) and species (170) were collected from leaf litter than from CWD5 (790 and 111, respectively) but species accumulation curves showed that species richness was not significantly different between the two habitats. Eight species were significantly associated with CWD5, and 40 species were significantly associated with leaf litter. Species richness was significantly higher in secondary forest than primary forest, but more species were significantly associated with primary than secondary forest. Species richness was significantly higher in spring than fall. Notes on the biology and photographs of the 59 species represented by 10 or more specimens are given to provide an atlas of common eastern U.S. beetle species found in these habitats. Overall CWD5 is a distinct but overlooked habitat that may harbor numerous undescribed species or species considered rare

    MeSH term explosion and author rank improve expert recommendations

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    Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Copperhead, toads and lizards in rotten log for the winter

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    Photograph of about a dozen snakes, toads and lizards found in a rotten log. They are laid out on a blanket on the ground

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    Copperhead, toads and lizards in the same rotten log

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    Photograph of about a dozen snakes, toads, and lizards that were found in a rotten log. They are laid out on a blanket with a knife beside them. The toads appear to be alive

    A. D. Fricke, author

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    Black and white photograph of author, A. D. Fricke

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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