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Measuring overeducation with earnings frontiers and multiply imputed censored income data

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  • Jensen, Uwe
  • Gartner, Hermann
  • Rässler, Susanne

Abstract

"In this paper, we remove one serious drawback of the IAB employment sample impeding its applicability to the estimation of earnings frontiers: the censoring of the income data, by multiple imputation. Then, we estimate individual potential income with stochastic earnings frontiers, and we measure overeducation as the ratio between actual income and potential income. It is shown that the measurement of overeducation by this income ratio is a valuable addition to the overeducation literature because the well-established objective or subjective overeducation measures focus on some ordinal matching aspects and ignore the metric income and efficiency aspects of overeducation." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Jensen, Uwe & Gartner, Hermann & Rässler, Susanne, 2006. "Measuring overeducation with earnings frontiers and multiply imputed censored income data," IAB-Discussion Paper 200611, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabdpa:200611
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    References listed on IDEAS

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    Cited by:

    1. Stefano Visintin & Kea Tijdens & Maarten van Klaveren, 2015. "Skill mismatch among migrant workers: evidence from a large multi-country dataset," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-34, December.
    2. Somnath Chattopadhyay, 2011. "Earnings efficiency and poverty dominance analysis: a spatial approach," Economics Bulletin, AccessEcon, vol. 31(3), pages 2298-2318.
    3. Galasi, Péter, 2009. "A túl- és az alulképzés bérhozama 25 európai országban [Returns for over-education and under-education for 25 European countries]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 197-215.
    4. Peter Galasi, 2008. "The effect of educational mismatch on wages for 25 countries," Budapest Working Papers on the Labour Market 0808, Institute of Economics, Centre for Economic and Regional Studies.
    5. Somnath Chattopadhyay, 2014. "Analysis Of Poverty And Efficiency: An Earnings Frontier Approach," Bulletin of Economic Research, Wiley Blackwell, vol. 66(2), pages 133-155, April.
    6. Hohendanner, Christian, 2007. "Verdrängen Ein-Euro-Jobs sozialversicherungspflichtige Beschäftigung in den Betrieben?," IAB-Discussion Paper 200708, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Yuxiang Xie & E. Xie, 2021. "Comparing Income Poverty with Multidimensional Well-being Based on the "Conversion Efficiency"," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(1), pages 61-77, February.
    8. Kruppe, Thomas, 2006. "Die Förderung beruflicher Weiterbildung : eine mikroökonometrische Evaluation der Ergänzung durch das ESF-BA-Programm," IAB-Discussion Paper 200621, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    9. Eckey, Hans-Friedrich & Schwengler, Barbara & Türck, Matthias, 2007. "Vergleich von deutschen Arbeitsmarktregionen," IAB-Discussion Paper 200703, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    10. Blien, Uwe & Kirchhof, Kai & Ludewig, Oliver, 2006. "Agglomeration effects on labour demand," IAB-Discussion Paper 200628, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    11. Boll, Christina & Leppin, Julian Sebastian, 2013. "Equal matches are only half the story: Why German female graduates earn 27 % less than males," HWWI Research Papers 138, Hamburg Institute of International Economics (HWWI).
    12. Boll, Christina & Leppin, Julian Sebastian, 2013. "Unterwertige Beschäftigung von Akademikerinnen und Akademikern: Umfang, Ursachen, Einkommenseffekte und Beitrag zur geschlechtsspezifischen Lohnlücke," HWWI Policy Papers 75, Hamburg Institute of International Economics (HWWI).
    13. Amend, Elke & Herbst, Patrick, 2008. "Labor market pooling and human capital investment decisions," IAB-Discussion Paper 200804, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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    More about this item

    Keywords

    Datenanalyse ; Datenaufbereitung ; Messfehler ; Einkommen ; Einkommenshöhe ; IAB-Beschäftigtenstichprobe ; Imputationsverfahren ; Messung ; Schätzung ; Überqualifikation;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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