The DOI matches its Crossref record; 37 of the 40 references it cites were found in a registry or an index.
Using Analysis of Gini (ANOGI) for Detecting Whether Two Subsamples Represent the Same Universe: The German Socio-Economic Panel Study (SOEP) Experience
Open accessAbstract
A wildly discussed shortcoming of panel surveys is a potential bias arising from selective attrition. Based on data of the German Socio-Economic Panel Study (SOEP), the authors analyze potential artifacts (level, structure, income inequality) by comparing results for two independently drawn panel subsamples started in 1984 and 2000. They apply ANOGI (analysis of Gini) techniques, the equivalent of ANOVA performed with the Gini coefficient. They rearrange, reinterpret, and use the decomposition in the comparison of subpopulations from which the different samples were drawn. Taking into account indicators for income, significant differences between these two samples with respect to income inequality are found in the first year, which start to fade away in Wave 2 and disappear in Wave 3. The authors find credible indication for these differences to be driven by changes in response behavior of short-term panel members rather than by attrition among members of the longer running sample.
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“Frick et al. (2006) show that respondents in the German Socio-Economic Panel have a tendency to move away from the endpoints of response scales over time.”
From Measuring Subjective Wellbeing: Recommendations on Measures for use by National Governments (2012) · cites this paper as Frick et al. (2006)
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Cites
Statistical Analysis With Missing Data
Lahiff, M., Little, R. J. A., & Rubin, D. B. (1989) · Journal of the American Statistical Association · doi:10.2307/2289883 · Cited by 17,385
Statistical Analysis with Missing Data
Little, R. J. A., & Rubin, D. B. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/9781119013563 · Cited by 8,473
Analysis of Incomplete Multivariate Data
Schafer, J. L. (1997) · doi:10.1201/9781439821862 · Cited by 6,012 · cited 1×
“For a detailed description of missing data within surveys, see, for example, Little and Rubin (2002) or Schafer (1997).”
Analysis of Incomplete Multivariate Data
Booth, D. E., & Schafer, J. L. (2000) · Technometrics · doi:10.2307/1271466 · Cited by 5,627
Shao, J., & Tu, D. (1995) · Springer Series in Statistics · doi:10.1007/978-1-4612-0795-5 · Cited by 1,985
A Class of Statistics with Asymptotically Normal Distribution
Hoeffding, W. (1948) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177730196 · Cited by 1,944
Relative Deprivation and Social Justice
Runciman, W. G. (2026) · Routledge eBooks · doi:10.4324/9781042033027 · Cited by 1,813
Inequality Decomposition by Population Subgroups
Shorrocks, A. F. (1984) · Econometrica · doi:10.2307/1913511 · Cited by 943
Introduction to the theory of nonparametric statistics
Randles, R. H., & Wolfe, D. A. (1979) · Krieger eBooks · Cited by 750
Introduction to the Theory of Nonparametric Statistics.
Haigh, J., Randles, R. H., & Wolfe, D. A. (1980) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2982149 · Cited by 739
Research works printed but not linked: 13
- Canberra Group, 2001, Expert Group on Household Income Statistics: Final Report and Recommendations
- de Leeuw, Edith D., 2002, Social Science Methodology in the New Millennium
- Fuchs, Marek, 2000, Developments in Survey Methodology, 149
- Grabka, Markus M., 2003, “Imputation of Item-Non-Response on Income Questions in the SOEP 1984-2002.”
- Haisken-DeNew, John P., 2003, Desktop Companion to the German Socio-Economic Panel Study (GSOEP), Version 7.0—Update to Wave 19
- Heller, Joseph, 2003, “Classifying Fossils: When the Distribution Is Not Normal.”
- Laurie, Heather, Fifth International Conference on Logic and Methodology
- Little, Roderick J. A., 1989, Panel Surveys, 400
- Schräpler, Jörg-Peter, 2005, “Changing From PAPI to CAPI: A Longitudinal Study Dealing with Mode-Effects in the German Socio-Economic Panel (SOEP) Using an Experimental Design.”
- 10.1007/s101820100047 · DOI
- Schwarze, Johannes, 1995, “Simulating German Income and Social Security Tax Payments Using the GSOEP.”
- Spiess, Martin, 2004, Harmonisation of Panel Surveys and Data Quality, 293
- Wagner, Gert G., 1993, Journal of Human Resources, 28, 429
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Self-citationSchräpler, J.-P., Schupp, J., & Wagner, G. G. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2395245
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Metadata
- Authors
- Frick, J. R., Goebel, J., Schechtman, E., Wagner, G. G., & Yitzhaki, S.
- Affiliations
- German Institute for Economic Research (DE)
- Ben-Gurion University of the Negev (IL)
- Hebrew University of Jerusalem (IL)
- Venue
- Sociological Methods & Research
- Publisher
- SAGE Publications
- Published
- 2006-05
- Volume
- 34
- Issue
- 4
- Pages
- 427-468
- ISSN
- 0049-1241 (ISSN-L)
- 1552-8294
- OpenAlex
- W2015236479
- Cited by
- 129
- References
- 40
- Citations by year
- 2025: 3 · 2024: 4 · 2023: 1 · 2022: 2 · 2021: 3 · 2020: 3 · 2019: 6 · 2018: 4 · 2017: 8 · 2016: 10 · 2015: 5 · 2014: 6 · 2013: 15 · 2012: 11
- FWCI
- 30.21
- Type
- journal article
- Language
- en
- Open access
- green
- smr.sagepub.com
- Locations
- Sociological Methods & Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- EconStor Open Access Articles (submittedVersion)
- Econstor (Econstor) (submittedVersion, cc-by)
- Funders
- Universität zu Köln
- Topics
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Social Sciences › Sociology and Political Science › Income, Poverty, and Inequality
- Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
- Keywords
- selective attrition, panel survey, German Socio-Economic Panel, income inequality, Gini coefficient decomposition, response behavior, attrition bias
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