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  1. ANCOVA power calculation in the presence of serial correlation and time shocks
    a comment on Burlig et al. (2020)
    Author: Ek, Claes
    Published: October 2020
    Publisher:  Department of Economics, University of Gothenburg, Göteborg

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    Verlag (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    VS 50
    Inter-library loan:
    No inter-library loan
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 2077/65185
    Series: Working paper in economics ; no. 788
    Subjects: power calculation; randomized experiments; experimental design; panel data; ANCOVA
    Scope: 1 Online-Ressource (circa 38 Seiten), Illustrationen
  2. Designing information provision experiments
    Author: Haaland, Ingar; Roth, Christopher; Wohlfart, Johannes
    Published: June 2020
    Publisher:  CESifo, Center for Economic Studies & Ifo Institute, Munich, Germany

    We review methodological questions relevant for the design of information provision experiments. We first provide a literature review of major areas in which information provision experiments are applied. We then outline key measurement challenges... more

    Access:
    Verlag (kostenfrei)
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 63
    Inter-library loan:
    No inter-library loan

     

    We review methodological questions relevant for the design of information provision experiments. We first provide a literature review of major areas in which information provision experiments are applied. We then outline key measurement challenges and design recommendations that may be of help for practitioners planning to conduct an information experiment. We discuss the measurement of subjective beliefs, including the role of incentives and ways to reduce measurement error. We also discuss the design of the information intervention, as well as the measurement of belief updating. Moreover, we describe ways to mitigate potential experimenter demand effects and numerical anchoring arising from the information treatment. Finally, we discuss typical effect sizes in information experiments.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/223478
    Series: CESifo working paper ; no. 8406 (2020)
    Subjects: experimental design; beliefs; information; obfuscation
    Scope: 1 Online-Ressource (circa 56 Seiten)