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A Factorial Survey on the Justice of Earnings within the SOEP-Pretest 2008

Author

Listed:
  • Sauer, Carsten

    () (University of Bielefeld)

  • Liebig, Stefan

    () (University of Bielefeld)

  • Auspurg, Katrin

    () (Goethe University Frankfurt)

  • Hinz, Thomas

    () (University of Konstanz)

  • Donaubauer, Andy

    () (University of Bielefeld)

  • Schupp, Jürgen

    () (DIW Berlin)

Abstract

In the 2008 Socio-Economic Panel Study (SOEP) Pretest, the factorial survey method was tested for the first time for use in the SOEP longitudinal study. In this paper, we describe the construction and application of the vignette module, which has its origins in the field of justice research and is used in particular in the measurement of income justice. We show that the factorial survey method is applicable in large-scale survey research when taking certain constraints into account, and that respondents of varying ages and educational groups are able to deal sufficiently well with answering the questions. The results obtained suggest that older respondents tend to take fewer dimensions into consideration in forming their opinions. Further studies will be needed to determine whether this is evidence that the evaluation tasks were too complex for these respondents and should thus be interpreted as a method effect, or whether it represents a valid substantive result. The results of the study demonstrate convincingly that alongside occupation, education, and performance – factors relating directly to employment – familial aspects such as civil status, the partner's employment status, and number of children constitute important criteria for determining what constitutes a "fair" income. The factor survey in the 2008 SOEP Pretest offers diverse analytical potential, both from a methodological point of view and in terms of the empirical results obtained. The positive experience with the 2008 SOEP Pretest suggests that the SOEP vignette module can be used effectively in a future wave of the main SOEP survey.

Suggested Citation

  • Sauer, Carsten & Liebig, Stefan & Auspurg, Katrin & Hinz, Thomas & Donaubauer, Andy & Schupp, Jürgen, 2009. "A Factorial Survey on the Justice of Earnings within the SOEP-Pretest 2008," IZA Discussion Papers 4663, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp4663
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    References listed on IDEAS

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    1. Guillermina Jasso & Eva M. Meyersson Milgrom, 2006. "Distributive Justice and CEO Compensation," Discussion Papers 05-020, Stanford Institute for Economic Policy Research.
    2. Stefan Liebig & Jürgen Schupp, 2005. "Empfinden die Erwerbstätigen in Deutschland ihre Einkommen als gerecht?," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 72(48), pages 721-725.
    3. Arie Kapteyn & James P. Smith & Arthur Van Soest, 2013. "Are A mericans Really Less Happy with Their Incomes?," Review of Income and Wealth, International Association for Research in Income and Wealth, pages 44-65.
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    1. repec:eee:poleco:v:52:y:2018:i:c:p:85-102 is not listed on IDEAS
    2. Abraham, Martin & Lorek, Kerstin & Richter, Friedemann & Wrede, Matthias, 2014. "Strictness of tax compliance norms: A factorial survey on the acceptance of inheritance tax evasion in Germany," FAU Discussion Papers in Economics 07/2014, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    3. repec:sae:somere:v:46:y:2017:i:3:p:490-539 is not listed on IDEAS
    4. Katrin Auspurg & Annette Jäckle, 2017. "First Equals Most Important? Order Effects in Vignette-Based Measurement," Sociological Methods & Research, , vol. 46(3), pages 490-539, August.

    More about this item

    Keywords

    income; justice theory; fairness; factorial survey method; SOEP;

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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