1,721,175 research outputs found

    Replication Data for: "The White/Black Educational Gap, Stalled Progress, and the Long-Term Consequences of the Emergence of Crack Cocaine Markets"

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    Evans, William N., Garthwaite, Craig, and Moore, Timothy J., (2016) "The White/Black Educational Gap, Stalled Progress, and the Long-Term Consequences of the Emergence of Crack Cocaine Markets." Review of Economics and Statistics 98:5, 832-847

    Replication Data for: "The White/Black Educational Gap, Stalled Progress, and the Long-Term Consequences of the Emergence of Crack Cocaine Markets"

    No full text
    Evans, William N., Garthwaite, Craig, and Moore, Timothy J., (2016) "The White/Black Educational Gap, Stalled Progress, and the Long-Term Consequences of the Emergence of Crack Cocaine Markets." Review of Economics and Statistics 98:5, 832-847

    Replication Data for "Disability Insurance Income Saves Lives"

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    This is the replication package for "Disability Insurance Income Saves Lives," accepted in 2023 by the Journal of Political Economy.</i

    Replication Data for "Disability Insurance Income Saves Lives"

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    Gelber, Alexander, Timothy Moore, Zhuan Pei, and Alexander Strand. 2023. “Disability Insurance Income Saves Lives.” Journal of Political Economy 131 (11): 3156–3185, https://doi.org/10.1086/725172

    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
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