IDEAS home Printed from https://ideas.repec.org/a/spr/jlabrs/v57y2023i1d10.1186_s12651-023-00336-9.html
   My bibliography  Save this article

A tale of two data sets: comparing German administrative and survey data using wage inequality as an example

Author

Listed:
  • Heiko Stüber

    (Institut für Arbeitsmarkt- und Berufsforschung (IAB)
    IZA)

  • Markus M. Grabka

    (DIW Berlin/SOEP)

  • Daniel D. Schnitzlein

    (Leibniz Universität Hannover
    IZA
    Innside Statistics)

Abstract

The IAB’s Sample of Integrated Labour Market Biographies (SIAB) and the Socio-Economic Panel (SOEP) are the two data sets most commonly used to analyze wage inequality in Germany. While the SIAB is based on administrative reports by employers to the social security system, the SOEP is a survey data set in which respondents self-report their wages. Both data sources have their specific advantages and disadvantages. The objective of this study is to describe and compare the evolution of wage inequality for these two types of data. For this purpose, different sample restrictions are applied. The comparison without any harmonization of the data shows different levels and trends. When the information is largely harmonized, comparable trends and similar levels emerge.

Suggested Citation

  • Heiko Stüber & Markus M. Grabka & Daniel D. Schnitzlein, 2023. "A tale of two data sets: comparing German administrative and survey data using wage inequality as an example," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-18, December.
    • Handle: RePEc:spr:jlabrs:v:57:y:2023:i:1:d:10.1186_s12651-023-00336-9
    DOI: 10.1186/s12651-023-00336-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s12651-023-00336-9
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1186/s12651-023-00336-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. David Card & Jörg Heining & Patrick Kline, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 967-1015.
    2. Gernandt Johannes & Pfeiffer Friedhelm, 2007. "Rising Wage Inequality in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(4), pages 358-380, August.
    3. Pischke, Jorn-Steffen, 1995. "Individual Income, Incomplete Information, and Aggregate Consumption," Econometrica, Econometric Society, vol. 63(4), pages 805-840, July.
    4. Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
    5. Klein, Michael W. & Moser, Christoph & Urban, Dieter M., 2013. "Exporting, skills and wage inequality," Labour Economics, Elsevier, vol. 25(C), pages 76-85.
    6. Andreasch Michael & Lindner Peter, 2016. "Micro- and Macrodata: a Comparison of the Household Finance and Consumption Survey with Financial Accounts in Austria," Journal of Official Statistics, Sciendo, vol. 32(1), pages 1-28, March.
    7. Bachmann, Ronald & Boockmann, Bernhard & Gonschor, Myrielle & Kalweit, René & Klauser, Roman & Laub, Natalie & Rulff, Christian & Vonnahme, Christina, 2022. "Auswirkungen des gesetzlichen Mindestlohns auf Löhne und Arbeitszeiten," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 264288.
    8. Caliendo, Marco & Wittbrodt, Linda, 2022. "Did the minimum wage reduce the gender wage gap in Germany?," Labour Economics, Elsevier, vol. 78(C).
    9. Fredrik Johansson-Tormod & Anders Klevmarken, 2022. "Comparing Register and Survey Wealth Data," International Journal of Microsimulation, International Microsimulation Association, vol. 15(1), pages 43-62.
    10. Cristian Bartolucci, 2013. "Gender Wage Gaps Reconsidered: A Structural Approach Using Matched Employer-Employee Data," Journal of Human Resources, University of Wisconsin Press, vol. 48(4), pages 998-1034.
    11. Mattis Beckmannshagen & Carsten Schröder, 2022. "Changes in Working Hours Are Driving Earnings Inequality," DIW Weekly Report, DIW Berlin, German Institute for Economic Research, vol. 12(32/33/34), pages 195-195.
    12. Burauel, Patrick & Caliendo, Marco & Grabka, Markus M. & Obst, Cosima & Preuss, Malte & Schröder, Carsten & Shupe, Cortnie, 2020. "The Impact of the German Minimum Wage on Individual Wages and Monthly Earnings," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 240(2/3), pages 201-231.
    13. Markus M. Grabka, 2021. "Income Inequality in Germany Stagnating over the Long Term, But Decreasing Slightly during the Coronavirus Pandemic," DIW Weekly Report, DIW Berlin, German Institute for Economic Research, vol. 11(17/18), pages 125-133.
    14. Joanna Tyrowicz & Lucas van der Velde & Irene van Staveren, 2018. "Does Age Exacerbate the Gender-Wage Gap? New Method and Evidence From Germany, 1984–2014," Feminist Economics, Taylor & Francis Journals, vol. 24(4), pages 108-130, October.
    15. Christian Dustmann & Johannes Ludsteck & Uta Schönberg, 2009. "Revisiting the German Wage Structure," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 843-881.
    16. K. Sommerfeld, 2013. "Higher and higher? Performance pay and wage inequality in Germany," Applied Economics, Taylor & Francis Journals, vol. 45(30), pages 4236-4247, October.
    17. Marc Roemer, 2002. "Using Administrative Earnings Records to Assess Wage Data Quality in the March Current Population Survey and the Survey of Income and Program Participation," Longitudinal Employer-Household Dynamics Technical Papers 2002-22, Center for Economic Studies, U.S. Census Bureau.
    18. Arie Kapteyn & Jelmer Y. Ypma, 2007. "Measurement Error and Misclassification: A Comparison of Survey and Administrative Data," Journal of Labor Economics, University of Chicago Press, vol. 25(3), pages 513-551.
    19. Heiko Stüber & Wolfgang Dauth & Johann Eppelsheimer, 2023. "A guide to preparing the sample of integrated labour market biographies (SIAB, version 7519 v1) for scientific analysis," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-11, December.
    20. repec:diw:diwwrp:dwr8-9 is not listed on IDEAS
    21. Bernd Fitzenberger & Jakob Lazzer, 2022. "Changing selection into full-time work and its effect on wage inequality in Germany," Empirical Economics, Springer, vol. 62(1), pages 247-277, January.
    22. Lüthen Holger & Schröder Carsten & Grabka Markus M. & Goebel Jan & Penz Hannah & Mika Tatjana & Brüggmann Daniel & Ellert Sebastian, 2022. "SOEP-RV: Linking German Socio-Economic Panel Data to Pension Records," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 242(2), pages 291-307, April.
    23. Markus M. Grabka & Carsten Schröder, 2018. "Inequality in Germany: Decrease in Gap for Gross Hourly Wages since 2014, but Monthly and Annual Wages Remain on Plateau," DIW Weekly Report, DIW Berlin, German Institute for Economic Research, vol. 8(9), pages 83-92.
    24. Stockhausen, Maximilian & Calderón, Mariano, 2020. "IW-Verteilungsreport 2020: Stabile Verhältnisse trotz gewachsener gesellschaftlicher Herausforderungen," IW-Reports 8/2020, Institut der deutschen Wirtschaft (IW) / German Economic Institute.
    25. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843, Elsevier.
    26. Markus M. Grabka, 2022. "Löhne, Renten und Haushaltseinkommen sind in den vergangenen 25 Jahren real gestiegen," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 89(23), pages 329-337.
    27. Schröder, Carsten & König, Johannes & Fedorets, Alexandra & Goebel, Jan & Grabka, Markus M. & Lüthen, Holger & Metzing, Maria & Schikora, Felicitas & Liebig, Stefan, 2020. "The economic research potentials of the German Socio-Economic Panel study," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 21(3), pages 335-371.
    28. Beckmannshagen, Mattis & Schröder, Carsten, 2022. "Earnings inequality and working hours mismatch," Labour Economics, Elsevier, vol. 76(C).
    29. Martin Biewen, 2000. "INCOME INEQUALITY IN GERMANY DURING THE 1980s AND 1990s," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 46(1), pages 1-19, March.
    30. Christian Dustmann & Bernd Fitzenberger & Uta Sch?nberg & Alexandra Spitz-Oener, 2014. "From Sick Man of Europe to Economic Superstar: Germany's Resurgent Economy," Journal of Economic Perspectives, American Economic Association, vol. 28(1), pages 167-188, Winter.
    31. Bollinger, Christopher R, 1998. "Measurement Error in the Current Population Survey: A Nonparametric Look," Journal of Labor Economics, University of Chicago Press, vol. 16(3), pages 576-594, July.
    32. Bernd Fitzenberger & Arnim Seidlitz, 2020. "The 2011 break in the part-time indicator and the evolution of wage inequality in Germany," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-14, December.
    33. D. L. Oberski & A. Kirchner & S. Eckman & F. Kreuter, 2017. "Evaluating the Quality of Survey and Administrative Data with Generalized Multitrait-Multimethod Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(520), pages 1477-1489, October.
    34. David K. Blough & Scott Ramsey & Sean D. Sullivan & Roger Yusen, 2009. "The impact of using different imputation methods for missing quality of life scores on the estimation of the cost‐effectiveness of lung‐volume‐reduction surgery," Health Economics, John Wiley & Sons, Ltd., vol. 18(1), pages 91-101, January.
    35. Bound, John & Brown, Charles & Duncan, Greg J & Rodgers, Willard L, 1994. "Evidence on the Validity of Cross-Sectional and Longitudinal Labor Market Data," Journal of Labor Economics, University of Chicago Press, vol. 12(3), pages 345-368, July.
    36. repec:diw:diwwrp:dwr8-9-1 is not listed on IDEAS
    37. Wojciech Kopczuk & Emmanuel Saez & Jae Song, 2010. "Earnings Inequality and Mobility in the United States: Evidence from Social Security Data Since 1937," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 91-128.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Moritz Drechsel‐Grau & Andreas Peichl & Kai D. Schmid & Johannes F. Schmieder & Hannes Walz & Stefanie Wolter, 2022. "Inequality and income dynamics in Germany," Quantitative Economics, Econometric Society, vol. 13(4), pages 1593-1635, November.
    2. Bollinger, Christopher R. & Hirsch, Barry & Hokayem, Charles M. & Ziliak, James P., 2018. "Trouble in the Tails? What We Know about Earnings Nonresponse Thirty Years after Lillard, Smith, and Welch," IZA Discussion Papers 11710, Institute of Labor Economics (IZA).
    3. Giesecke, Matthias & Bönke, Timm & Lüthen, Holger, 2011. "The Dynamics of Earnings in Germany: Evidence from Social Security Records," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48692, Verein für Socialpolitik / German Economic Association.
    4. Bernd Fitzenberger & Arnim Seidlitz, 2020. "Die Lohnungleichheit von Vollzeitbeschäftigten in Deutschland: Rückblick und Überblick [Wage inequality among the full-time employed in Germany revisited: An overview]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 14(2), pages 125-143, July.
    5. Meyer, Bruce D. & Mittag, Nikolas, 2017. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," IZA Discussion Papers 10943, Institute of Labor Economics (IZA).
    6. Adam Bee & Joshua Mitchell & Nikolas Mittag & Jonathan Rothbaum & Carl Sanders & Lawrence Schmidt & Matthew Unrath, 2023. "National Experimental Wellbeing Statistics - Version 1," Working Papers 23-04, Center for Economic Studies, U.S. Census Bureau.
    7. ChangHwan Kim & Christopher R. Tamborini, 2014. "Response Error in Earnings," Sociological Methods & Research, , vol. 43(1), pages 39-72, February.
    8. Jesse Bricker & Gary V. Engelhardt, 2007. "Measurement Error in Earnings Data in the Health and Retirement Study," Working Papers, Center for Retirement Research at Boston College wp2007-16, Center for Retirement Research, revised Oct 2007.
    9. Bruce Meyer & Nikolas Mittag, 2017. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," Working Papers 2017-075, Human Capital and Economic Opportunity Working Group.
    10. Helmut Herwartz & David Rodriguez-Justicia & Bernd Theilen, 2022. "A New Measure of Wage Risk: Occupation-Specific Evidence for Germany," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1427-1462, December.
    11. Peter Gottschalk & Minh Huynh, 2010. "Are Earnings Inequality and Mobility Overstated? The Impact of Nonclassical Measurement Error," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 302-315, May.
    12. Biewen, Martin & Fitzenberger, Bernd & de Lazzer, Jakob, 2017. "Rising Wage Inequality in Germany: Increasing Heterogeneity and Changing Selection into Full-Time Work," IZA Discussion Papers 11072, Institute of Labor Economics (IZA).
    13. Dirk Antonczyk & Thomas DeLeire & Bernd Fitzenberger, 2018. "Polarization and Rising Wage Inequality: Comparing the U.S. and Germany," Econometrics, MDPI, vol. 6(2), pages 1-33, April.
    14. Meyer, Bruce D. & Mittag, Nikolas, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," IZA Discussion Papers 12266, Institute of Labor Economics (IZA).
    15. Meghir, Costas & Pistaferri, Luigi, 2011. "Earnings, Consumption and Life Cycle Choices," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 9, pages 773-854, Elsevier.
    16. Michele Lalla & Patrizio Frederic & Daniela Mantovani, 2022. "The inextricable association of measurement errors and tax evasion as examined through a microanalysis of survey data matched with fiscal data: a case study," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(5), pages 1375-1401, December.
    17. Charlotte Bartels & Carsten Schroeder, 2020. "Income, consumption and wealth inequality in Germany: Three concepts, three stories?," Basic Papers 2, Forum New Economy.
    18. Cortes, Guido Matias & Lerche, Adrian & Schönberg, Uta & Tschopp, Jeanne, 2023. "Technological Change, Firm Heterogeneity and Wage Inequality," IZA Discussion Papers 16070, Institute of Labor Economics (IZA).
    19. Beissinger, Thomas & Chusseau, Nathalie & Hellier, Joël, 2015. "Offshoring and Labour Market Reforms: Modelling the German Experience," IZA Discussion Papers 8920, Institute of Labor Economics (IZA).
    20. Paulus, Alari, 2015. "Tax evasion and measurement error: An econometric analysis of survey data linked with tax records," ISER Working Paper Series 2015-10, Institute for Social and Economic Research.

    More about this item

    Keywords

    Wage inequality; SIAB; SOEP; Administrative data; Survey data; Germany;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jlabrs:v:57:y:2023:i:1:d:10.1186_s12651-023-00336-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.