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Empirische Maße zur Erfassung von Armut und materiellen Lebensbedingungen : Ansätze und Konzepte im Überblick

Author

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  • Christoph, Bernhard

    (Institute for Employment Research (IAB), Nuremberg, Germany)

Abstract
"When empirically measuring poverty, there are various decisions to be made, which might have considerable implications, depending on the objectives of the analyses performed. This discussion paper aims at providing an overview of the methods available as well as a detailed discussion of their advantages and drawbacks. Doing so, a core focus of the paper will be on the distinction between the different stages of poverty measurement: measuring living standards, defining the poverty threshold, and constructing aggregate poverty measures. For each of these stages, an overview of the most important approaches and choices will be given. Moreover, their potential advantages and disadvantages will be discussed. I will argue that on each of the stages, different criteria for evaluating the measures will apply, which means that depending on one's current objectives, the use of different measures might be appropriate." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Christoph, Bernhard, 2015. "Empirische Maße zur Erfassung von Armut und materiellen Lebensbedingungen : Ansätze und Konzepte im Überblick," IAB-Discussion Paper 201525, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabdpa:201525
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    File URL: https://doku.iab.de/discussionpapers/2015/dp2515.pdf
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    References listed on IDEAS

    as
    1. Klaas de Vos & M. Asghar Zaidi, 2001. "Trends in consumption-based poverty and inequality in the European Union during the 1980s," Journal of Population Economics, Springer;European Society for Population Economics, vol. 14(2), pages 367-390.
    2. Brenzel, Hanna & Reichelt, Malte, 2015. "Job mobility as a new explanation for the immigrant-native wage gap : a longitudinal analysis for the German labor market," IAB-Discussion Paper 201512, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. repec:bla:jecsur:v:11:y:1997:i:2:p:123-62 is not listed on IDEAS
    4. Hecht, Veronika, 2015. "Location choice of German multinationals in the Czech Republic : the importance of agglomeration economies," IAB-Discussion Paper 201519, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Schanne, Norbert, 2015. "A Global Vector Autoregression (GVAR) model for regional labour markets and its forecasting performance with leading indicators in Germany," IAB-Discussion Paper 201513, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Walwei, Ulrich, 2015. "From deregulation to re-regulation : trend reversal in German labour market institutions and its possible implications," IAB-Discussion Paper 201510, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Buhong Zheng, 1997. "Aggregate Poverty Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 11(2), pages 123-162, June.
    8. Jürgen Wiemers, 2015. "Endogenizing take-up of social assistance in a microsimulation model. A case study for Germany," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 4-27.
    9. Susanne Wanger & Roland Weigand & Ines Zapf, 2016. "Measuring hours worked in Germany – Contents, data and methodological essentials of the IAB working time measurement concept [Die Berechnung der geleisteten Arbeitsstunden in Deutschland – Inhalte,," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 49(3), pages 213-238, November.
    10. Zapf, Ines, 2015. "Individual and workplace-specific determinants of paid and unpaid overtime work in Germany," IAB-Discussion Paper 201515, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    11. Ines Zapf, 2015. "Individual and Workplace-Specific Determinants of Paid and Unpaid Overtime Work in Germany," SOEPpapers on Multidisciplinary Panel Data Research 771, DIW Berlin, The German Socio-Economic Panel (SOEP).
    12. Wiemers, Jürgen, 2015. "Endogenizing take-up of social assistance in a microsimulation model : a case study for Germany," IAB-Discussion Paper 201520, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    13. van Praag, Bernard & Goedhart, Theo & Kapteyn, Arie, 1980. "The Poverty Line-A Pilot Survey in Europe," The Review of Economics and Statistics, MIT Press, vol. 62(3), pages 461-465, August.
    14. Veronika Hecht, 2017. "Location choice of German multinationals in the Czech Republic," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 25(4), pages 593-623, October.
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    Cited by:

    1. Tophoven, Silke & Wenzig, Claudia & Lietzmann, Torsten, 2016. "Kinder in Armutslagen : Konzepte, aktuelle Zahlen und Forschungsstand," IAB-Forschungsbericht 201611, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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    More about this item

    Keywords

    Bundesrepublik Deutschland ; Armut ; empirische Sozialforschung ; Konzeption ; Lebenssituation ; Lebensstandard ; Messung ; ökonomische Faktoren ; soziale Deprivation ; Wohlfahrtsmessung;
    All these keywords.

    JEL classification:

    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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