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  1. Limited self-knowledge and survey response behavior
    Autor*in: Falk, Armin; Neuber, Thomas; Strack, Philipp
    Erschienen: July 2021
    Verlag:  ECONtribute, Bonn

    We study response behavior in surveys and show how the explanatory power of selfreports can be improved. First, we develop a choice model of survey response behavior under the assumption that the respondent has imperfect self-knowledge about her... mehr

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

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 711
    Fernleihe:
    keine Fernleihe

     

    We study response behavior in surveys and show how the explanatory power of selfreports can be improved. First, we develop a choice model of survey response behavior under the assumption that the respondent has imperfect self-knowledge about her individual characteristics. In panel data, the model predicts that the variance in responses for different characteristics increases in self-knowledge and that the variance for a given characteristic over time is non-monotonic in self-knowledge. Importantly, the ratio of these variances identifies an individual’s level of self-knowledge, i.e., the latter can be inferred from observed response patterns. Second, we develop a consistent and unbiased estimator for self-knowledge based on the model. Third, we run an experiment to test the model’s main predictions in a context where the researcher knows the true underlying characteristics. The data confirm the model’s predictions as well as the estimator’s validity. Finally, we turn to a large panel data set, estimate individual levels of self-knowledge, and show that accounting for differences in self-knowledge significantly increases the explanatory power of regression models. Using a median split in self-knowledge and regressing risky behaviors on self-reported risk attitudes, we find that the R2 can be multiple times larger for above- than below-median subjects. Similarly, gender differences in risk attitudes are considerably larger when restricting samples to subjects with high self-knowledge. These examples illustrate how using the estimator may improve inference from survey data.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/237351
    Schriftenreihe: ECONtribute discussion paper ; no. 106
    Schlagworte: survey research; rational inattention; lab experiment; non-cognitive skills; preferences
    Umfang: 1 Online-Ressource (circa 59 Seiten), Illustrationen
  2. Limited self-knowledge and survey response behavior
    Autor*in: Falk, Armin; Neuber, Thomas; Strack, Philipp
    Erschienen: [2021]
    Verlag:  German Socio-Economic Panel (SOEP), DIW Berlin, Berlin, Germany

    We study response behavior in surveys and show how the explanatory power of selfreports can be improved. First, we develop a choice model of survey response behavior under the assumption that the respondent has imperfect self-knowledge about her... mehr

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

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 318
    Fernleihe:
    keine Fernleihe

     

    We study response behavior in surveys and show how the explanatory power of selfreports can be improved. First, we develop a choice model of survey response behavior under the assumption that the respondent has imperfect self-knowledge about her individual characteristics. In panel data, the model predicts that the variance in responses for different characteristics increases in self-knowledge and that the variance for a given characteristic over time is non-monotonic in self-knowledge. Importantly, the ratio of these variances identifies an individual's level of self-knowledge, i.e., the latter can be inferred from observed response patterns. Second, we develop a consistent and unbiased estimator for self-knowledge based on the model. Third, we run an experiment to test the model's main predictions in a context where the researcher knows the true underlying characteristics. The data confirm the model's predictions as well as the estimator's validity. Finally, we turn to a large panel data set, estimate individual levels of self-knowledge, and show that accounting for differences in self-knowledge significantly increases the explanatory power of regression models. Using a median split in self-knowledge and regressing risky behaviors on self-reported risk attitudes, we find that the R2 can be multiple times larger for above- than below-median subjects. Similarly, gender differences in risk attitudes are considerably larger when restricting samples to subjects with high self-knowledge. These examples illustrate how using the estimator may improve inference from survey data.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/243182
    Schriftenreihe: SOEPpapers on multidisciplinary panel data research ; 1142 (2021)
    Schlagworte: survey research; rational inattention; lab experiment; non-cognitiveskills; preferences
    Umfang: 1 Online-Ressource (circa 60 Seiten), Illustrationen
  3. Limited self-knowledge and survey response behavior
    Autor*in: Falk, Armin; Neuber, Thomas; Strack, Philipp
    Erschienen: July 2021
    Verlag:  IZA - Institute of Labor Economics, Bonn, Germany

    We study response behavior in surveys and show how the explanatory power of self-reports can be improved. First, we develop a choice model of survey response behavior under the assumption that the respondent has imperfect self-knowledge about her... mehr

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

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 4
    Fernleihe:
    keine Fernleihe

     

    We study response behavior in surveys and show how the explanatory power of self-reports can be improved. First, we develop a choice model of survey response behavior under the assumption that the respondent has imperfect self-knowledge about her individual characteristics. In panel data, the model predicts that the variance in responses for different characteristics increases in self-knowledge and that the variance for a given characteristic over time is non-monotonic in self-knowledge. Importantly, the ratio of these variances identifies an individual's level of self-knowledge, i.e., the latter can be inferred from observed response patterns. Second, we develop a consistent and unbiased estimator for self-knowledge based on the model. Third, we run an experiment to test the model's main predictions in a context where the researcher knows the true underlying characteristics. The data confirm the model's predictions as well as the estimator's validity. Finally, we turn to a large panel data set, estimate individual levels of self-knowledge, and show that accounting for differences in self-knowledge significantly increases the explanatory power of regression models. Using a median split in self-knowledge and regressing risky behaviors on self-reported risk attitudes, we find that the R2 can be multiple times larger for above- than below-median subjects. Similarly, gender differences in risk attitudes are considerably larger when restricting samples to subjects with high self-knowledge. These examples illustrate how using the estimator may improve inference from survey data.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/245577
    Schriftenreihe: Discussion paper series / IZA ; no. 14526
    Schlagworte: survey research; rational inattention; lab experiment; non-cognitive skills; preferences
    Umfang: 1 Online-Ressource (circa 60 Seiten), Illustrationen
  4. Limited self-knowledge and survey response behavior
    Autor*in: Falk, Armin; Neuber, Thomas; Strack, Philipp
    Erschienen: 08 July 2021
    Verlag:  Centre for Economic Policy Research, London

    Zugang:
    Verlag (lizenzpflichtig)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    LZ 161
    Fernleihe:
    keine Fernleihe

    Standort:
    Universitätsbibliothek Mannheim
    Fernleihe:
    keine Fernleihe
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: Array ; DP16345
    Schlagworte: survey research; rational inattention; Lab Experiment; non-cognitive skills; preferences
    Umfang: 1 Online-Ressource (circa 60 Seiten), Illustrationen
  5. Maintenance of and innovation in long term panel studies
    the case of the German socio economic panel (GSOEP)
    Autor*in: Schupp, Jürgen; Wagner, Gert G.
    Erschienen: 2002
    Verlag:  DIW, Berlin

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    RVK Klassifikation: QB 910 ; QH 244 ; QB 910 ; QH 244
    DDC Klassifikation: Wirtschaft (330); Handel, Kommunikation, Verkehr (380); Management und unterstützende Tätigkeiten (650); Industrielle Fertigung (670)
    Schriftenreihe: Diskussionspapiere / Deutsches Institut für Wirtschaftsforschung ; Nr. 276
    Discussion papers / German Institute for Economic Research ; Nr. 276
    Schlagworte: Panel; Empirische Sozialforschung; Wirtschaftsforschung
    Weitere Schlagworte: (stw)Panel; (stw)Sozialforschung; (stw)Wirtschaftsforschung; (stw)Deutschland; Panel analysis; survey research; longitudinal studies; Panel (STW); Sozialforschung (STW); Wirtschaftsforschung (STW); Deutschland (STW); Deutsches Institut für Wirtschaftsforschung Berlin (STW); Arbeitspapier; Graue Literatur
    Umfang: 17 S., 21 cm