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  1. Social media sentiment and consumer confidence
    Author: Daas, Piet J. H.; Puts, Marco
    Published: [2014]
    Publisher:  European Central Bank, Frankfurt am Main, Germany

    Changes in the sentiment of Dutch public social media messages were compared with changes in monthly consumer confidence over a period of three-and-a-half years, revealing that both were highly correlated (up to r = 0.9) and that both series... more

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    Staatsbibliothek zu Berlin - Preußischer Kulturbesitz, Haus Unter den Linden
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    Unlimited inter-library loan, copies and loan

     

    Changes in the sentiment of Dutch public social media messages were compared with changes in monthly consumer confidence over a period of three-and-a-half years, revealing that both were highly correlated (up to r = 0.9) and that both series cointegrated. This phenomenon is predominantly affected by changes in the sentiment of all Dutch public Facebook messages. The inclusion of various selections of public Twitter messages improved this association and the response to changes in sentiment. Granger causality studies revealed that it is more likely that changes in consumer confidence precede those in social media sentiment than vice-versa. A comparison of the development of various seven-day sentiment aggregates with the monthly consumer confidence series confirmed this finding and revealed that the social media sentiment lag is most likely in the order of seven days. This indicates that, because of the ease at which social media sentiment-based data are available and can be processed, they can be published before the official consumer confidence publication and certainly at a higher frequency. All research findings are consistent with the notion that changes in consumer confidence and social media sentiment are affected by an identical underlying phenomenon. An explanation for this phenomenon can be found in the Appraisal-Tendency Framework (Han et al. 2007), which is concerned with consumer decision-making. In this framework, it is claimed that a consumer decision is influenced by two kinds of emotions, namely the incidental and the integral. In this framework, the integral emotion is relevant for the decision at stake, whereas the incidental emotion is not. Based on this theory, consumer confidence is likely to be influenced mainly by the incidental emotion, as consumer confidence is also not measured in relation to an actual decision to buy something. This suggests that the sentiment in social media messages might reflect the incidental emotion in that part of the population that is active on social media. Because of the general nature of the latter, one could denote this the "mood" of the nation (Lansdall-Welfare et al., 2012) in the context of consumer decision-making. In the paper, the relationship between social media sentiment and consumer confidence is discussed in depth.

     
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9789289914031
    Other identifier:
    hdl: 10419/154640
    Series: Statistics paper series / European Central Bank ; no 5 (September 2014)
    Subjects: virtual community; database; statistical method; econometrics; research and development; consumer behaviour; data processing; Netherlands
    Scope: 1 Online-Ressource (circa 28 Seiten), Illustrationen
  2. Social media sentiment and consumer confidence
    Author: Daas, Piet J. H.; Puts, Marco
    Published: [2014]
    Publisher:  European Central Bank, Frankfurt am Main, Germany

    Changes in the sentiment of Dutch public social media messages were compared with changes in monthly consumer confidence over a period of three-and-a-half years, revealing that both were highly correlated (up to r = 0.9) and that both series... more

    Access:
    Resolving-System (kostenfrei)

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    Staatsbibliothek zu Berlin - Preußischer Kulturbesitz, Haus Potsdamer Straße
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    Location:
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    DS 536 (5)
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    Changes in the sentiment of Dutch public social media messages were compared with changes in monthly consumer confidence over a period of three-and-a-half years, revealing that both were highly correlated (up to r = 0.9) and that both series cointegrated. This phenomenon is predominantly affected by changes in the sentiment of all Dutch public Facebook messages. The inclusion of various selections of public Twitter messages improved this association and the response to changes in sentiment. Granger causality studies revealed that it is more likely that changes in consumer confidence precede those in social media sentiment than vice-versa. A comparison of the development of various seven-day sentiment aggregates with the monthly consumer confidence series confirmed this finding and revealed that the social media sentiment lag is most likely in the order of seven days. This indicates that, because of the ease at which social media sentiment-based data are available and can be processed, they can be published before the official consumer confidence publication and certainly at a higher frequency. All research findings are consistent with the notion that changes in consumer confidence and social media sentiment are affected by an identical underlying phenomenon. An explanation for this phenomenon can be found in the Appraisal-Tendency Framework (Han et al. 2007), which is concerned with consumer decision-making. In this framework, it is claimed that a consumer decision is influenced by two kinds of emotions, namely the incidental and the integral. In this framework, the integral emotion is relevant for the decision at stake, whereas the incidental emotion is not. Based on this theory, consumer confidence is likely to be influenced mainly by the incidental emotion, as consumer confidence is also not measured in relation to an actual decision to buy something. This suggests that the sentiment in social media messages might reflect the incidental emotion in that part of the population that is active on social media. Because of the general nature of the latter, one could denote this the "mood" of the nation (Lansdall-Welfare et al., 2012) in the context of consumer decision-making. In the paper, the relationship between social media sentiment and consumer confidence is discussed in depth.

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9789289914031
    Other identifier:
    hdl: 10419/154640
    Series: Statistics paper series / European Central Bank ; no 5 (September 2014)
    Subjects: virtual community; database; statistical method; econometrics; research and development; consumer behaviour; data processing; Netherlands
    Scope: 1 Online-Ressource (circa 28 Seiten), Illustrationen
  3. Grundlagen und Methoden von GKV-Routinedatenstudien
    Published: 2014
    Publisher:  Leibniz Univ., [Wirtschaftswiss. Fak.], Hannover

    Routinedatenstudien können den Akteuren des Gesundheitswesens nützliche Informationen liefern. Infolgedessen hat die Bedeutung und wissenschaftliche Nutzung von Routinedaten der gesetzlichen Krankenversicherung in den letzten Jahren stetig an... more

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    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 8 (534)
    Inter-library loan:
    No inter-library loan

     

    Routinedatenstudien können den Akteuren des Gesundheitswesens nützliche Informationen liefern. Infolgedessen hat die Bedeutung und wissenschaftliche Nutzung von Routinedaten der gesetzlichen Krankenversicherung in den letzten Jahren stetig an Relevanz gewonnen. Bisher liegen nur sehr allgemeine Leitlinien in Bezug auf einzelne Prozessschritte einer GKV-Routinedatenstudie vor. Ziel dieses Diskussionspapier ist es daher, eine detaillierte Übersicht über relevante konzeptionelle und methodische Aspekte bei der Durchführung von GKV-Routinedatenstudien zu entwickeln, um qualitativ hochwertigere, transparentere und vergleichbarere Studien zu erhalten und den methodischen Austausch weiter zu fördern. Dabei werden die vielfältigen Publikationen auf dem Gebiet der GKV-Routinedaten systematisch aufgearbeitet sowie die Vor- und Nachteile unterschiedlicher methodischer Herangehensweisen diskutiert. Claims data studies are becoming an increasingly important source of information for healthcare stakeholders. The importance and scientific use of claims data of the statutory health funds has further increased. We saw a general lack of elaborated recommendations for best practices in this field and a need for a thorough overview of published methods used in each step of conducting a claims data study. This discussion paper examines and compares conceptual and methodological approaches used in claims data studies aiming to stimulate discussion on quality of the studies and to promote creation of standards and guidelines for consistent and transparent claims data studies and reports. Our results emphasize the importance guidelines in the field of claims data analyses and discussed the advantages and disadvantages of different methodological approaches.

     
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    Volltext (kostenfrei)
    Source: Union catalogues
    Language: German
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/107639
    Series: Diskussionspapier / [Wirtschaftswissenschaftliche Fakultät,] Leibniz University of Hannover ; 534
    Subjects: GKV-Routinedaten; Datenkategorien; Studiendesigns; Validierung; Datenaufbereitung; claims data; data categories; study design; validation; data processing; best practices
    Scope: Online-Ressource (146 S.), graph. Darst.
    Notes:

    Die vorliegende Studie wurde durch das Bundesministerium für Bildung und Forschung (BMBF) gefördert

    Zsfassung in engl. Sprache