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The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements

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  • Gert G. Wagner
  • Joachim R. Frick
  • Jürgen Schupp

Abstract

After the introduction in Section 2, we very briefly sketch out current theoretical and empirical developments in the social sciences. In our view, they all point in the same direction: toward the acute and increasing need for multidisciplinary longitudinal data covering a wide range of living conditions and based on a multitude of variables from the social sciences for both theoretical investigation and the evaluation of policy measures. Cohort and panel studies are therefore called upon to become truly interdisciplinary tools. In Section 3, we describe the German Socio-Economic Panel Study (SOEP), in which we discuss recent improvements of that study which approach this ideal and point out existing shortcomings. Section 4 concludes with a discussion of potential future issues and developments for SOEP and other household panel studies.
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Suggested Citation

  • Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    • Handle: RePEc:aeq:aeqsjb:v127_y2007_i1_q1_p139-169
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    References listed on IDEAS

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    1. Richard V. Burkhauser & Michaela Kreyenfeld & Gert G. Wagner, 1997. "The German Socio-Economic Panel: A Representative Sample of Reunited Germany and its Parts," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 66(1), pages 7-16.
    2. Ed Diener, 1994. "Assessing subjective well-being: Progress and opportunities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 31(2), pages 103-157, February.
    3. Carneiro, Pedro & Heckman, James J & Masterov, Dimitriy V, 2005. "Labor Market Discrimination and Racial Differences in Premarket Factors," Journal of Law and Economics, University of Chicago Press, vol. 48(1), pages 1-39, April.
    4. Kevin Denny & Vincent O'sullivan, 2007. "Can education compensate for low ability? Evidence from British data," Applied Economics Letters, Taylor & Francis Journals, vol. 14(9), pages 657-660.
    5. Richard V. Burkhauser & Dean R. Lillard, 2005. "The Contribution and Potential of Data Harmonization for Cross-National Comparative Research," Discussion Papers of DIW Berlin 486, DIW Berlin, German Institute for Economic Research.
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    More about this item

    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
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D10 - Microeconomics - - Household Behavior - - - General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • I0 - Health, Education, and Welfare - - General
    • J0 - Labor and Demographic Economics - - General
    • N34 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Europe: 1913-
    • P36 - Economic Systems - - Socialist Institutions and Their Transitions - - - Consumer Economics; Health; Education and Training; Welfare, Income, Wealth, and Poverty
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis

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