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  1. Replication report: a comment on Peter T. Leeson, R. August Hardy and Paola A. Suarez (2022)
    Autor*in: Melo, Lucas Braga de; Cantone, Giulio G.; Gabani, Jacopo; Gao, Xiaoying
    Erschienen: August 2023
    Verlag:  Institute for Replication, Essen, Germany

    Peter Leeson, August Hardy and Paola Suarez (2022) test maximizing behaviour of panhandlers at several Metrorail stations in Washington, D.C. Their main findings are that "stations with more panhandling opportunities attract more panhandlers" (the... mehr

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    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 831
    Fernleihe:
    keine Fernleihe

     

    Peter Leeson, August Hardy and Paola Suarez (2022) test maximizing behaviour of panhandlers at several Metrorail stations in Washington, D.C. Their main findings are that "stations with more panhandling opportunities attract more panhandlers" (the first statement) and that "cross-station differences in hourly panhandling receipts are statistically indistinguishable from zero" (the second statement). We test computational reproducibility and robustness replicability of their results. We can reproduce both statements, in Stata and R. Our robustness replications for the first statement confirm the authors' results in the vast majority of cases (replication was successful in 91% of the cases). Our robustness replications for the second statement might raise doubts on this finding. We run weighted ANOVA tests, we change the bounds in minutes used by authors by 5 minutes in their robustness checks, we run Bartlett's tests of equality of variances of means, and run pair-wise tests of equality of means. In three out of four cases we cannot replicate the results, and the differences (of either means, medians or variances of donations) across Metrorail stations are statistically different from zero. We hypothesize that panhandlers have a general idea about which stations have more passers-by, and will rationally go more often there. However, they are unlikely to have information about smaller variations in the number of passers-by (e.g., variations in passers-by at the same station over time due to non-public events), and therefore might find it difficult to perfectly maximize donations.

     
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    Quelle: Verbundkataloge
    Beteiligt: Leeson, Peter T. (VerfasserIn des Bezugswerks); Hardy, R. August (VerfasserIn des Bezugswerks); Suarez, Paola A. (VerfasserIn des Bezugswerks)
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/274554
    Schriftenreihe: I4R discussion paper series / Institute for Replication ; no. 55
    Umfang: 1 Online-Ressource (circa 17 Seiten)
  2. Mass reproducibility and replicability
    a new hope
    Autor*in: Brodeur, Abel; Mikola, Derek; Cook, Nikolai; Brailey, Thomas; Briggs, Ryan C.; Gendre, Alexandra de; Dupraz, Yannick; Fiala, Lenka; Gabani, Jacopo; Gauriot, Romain; Haddad, Joanne; Lima, Goncalo; Ankel-Peters, Jörg; Dreber, Anna
    Erschienen: April 2024
    Verlag:  Institute for Replication, Essen, Germany

    This study pushes our understanding of research reliability by reproducing and replicating claims from 110 papers in leading economic and political science journals. The analysis involves computational reproducibility checks and robustness... mehr

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    Verlag (kostenfrei)
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    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 831
    Fernleihe:
    keine Fernleihe

     

    This study pushes our understanding of research reliability by reproducing and replicating claims from 110 papers in leading economic and political science journals. The analysis involves computational reproducibility checks and robustness assessments. It reveals several patterns. First, we uncover a high rate of fully computationally reproducible results (over 85%). Second, excluding minor issues like missing packages or broken pathways, we uncover coding errors for about 25% of studies, with some studies containing multiple errors. Third, we test the robustness of the results to 5,511 re-analyses. We find a robustness reproducibility of about 70%. Robustness reproducibility rates are relatively higher for re-analyses that introduce new data and lower for re-analyses that change the sample or the definition of the dependent variable. Fourth, 52% of re-analysis effect size estimates are smaller than the original published estimates and the average statistical significance of a re-analysis is 77% of the original. Lastly, we rely on six teams of researchers working independently to answer eight additional research questions on the determinants of robustness reproducibility. Most teams find a negative relationship between replicators' experience and reproducibility, while finding no relationship between reproducibility and the provision of intermediate or even raw data combined with the necessary cleaning codes.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/289437
    Schriftenreihe: I4R discussion paper series / Institute for Replication ; no. 107
    Schlagworte: Reproduction; Replication; Research Transparency; Open Science; Economics; Political Science
    Umfang: 1 Online-Ressource (circa 250 Seiten), Illustrationen