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  1. Investigating selection bias of online surveys on coronavirus-related behavioral outcomes
    Autor*in: Schaurer, Ines; Weiß, Bernd
    Erschienen: 2020
    Verlag:  SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V., Mannheim

    Abstract: The coronavirus SARS-CoV-2 outbreak has stimulated numerous online surveys that are mainly based on online convenience samples or commercial online access panels where participants select themselves. The results are, nevertheless, often... mehr

     

    Abstract: The coronavirus SARS-CoV-2 outbreak has stimulated numerous online surveys that are mainly based on online convenience samples or commercial online access panels where participants select themselves. The results are, nevertheless, often generalized to the general population. In our paper we investigate the potential bias that is introduced by respondents' self-selection. The analysis is based on survey data of the "GESIS Panel Special Survey on the Coronavirus SARS-CoV-2 Outbreak in Germany", together with background information of the GESIS Panel. Our analyses show indication of a nonignorable amount of selection bias for measures of personality traits among online survey respondents. This provides some evidence that participating in an online survey and complying with measures that can minimize the risk of being infected with the SARS-CoV-2 virus are confounded. Hence, generalizing these results to the general population bears the risk of over or underestimating the share of the

     
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  2. Which design works?
    a meta-regression analysis of the impacts of R&D tax incentives
    Autor*in: Blandinieres, Florence; Steinbrenner, Daniela; Weiß, Bernd
    Erschienen: 2020
    Verlag:  ZEW - Leibniz Centre for European Economic Research, Mannheim, Germany

    A growing interest in R&D tax incentives as a way to sustain research and innovation efforts has given rise to a large number of evaluations. The absence of consensus in the literature about their impact on R&D is intertwined with the variety of... mehr

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    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 15
    Fernleihe:
    keine Fernleihe

    Standort:
    Universitätsbibliothek Mannheim
    Fernleihe:
    keine Fernleihe

     

    A growing interest in R&D tax incentives as a way to sustain research and innovation efforts has given rise to a large number of evaluations. The absence of consensus in the literature about their impact on R&D is intertwined with the variety of underpinning R&D tax incentives designs. Our meta-analysis aims at explaining this heterogeneity by the designs characteristics of R&D tax incentives. We find that the type of design has a distinct impact on R&D demand in the short run. We argue that these distinct effects are the results of managing a trade-off between providing strong incentives for R&D and simplicity to claim R&D deduction. In this respect, incremental and volume-based designs find a balance between both dimensions while hybrid designs lack clarity and predictability in the short run. Their respective effect can be moderated by additional features (i.e. generosity, targeting rules) even if the latter increases complexity and decreases predictability. We conclude by highlighting the importance of having a stable, clear, and simple framework to enhance the effect of R&D tax incentives.

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/214827
    Schriftenreihe: Discussion paper / ZEW ; no. 20, 010 (02/2020)
    Umfang: 1 Online-Ressource (37 Seiten), Illustrationen