IDEAS home Printed from https://ideas.repec.org/p/wii/rpaper/rr398.html
   My bibliography  Save this paper

Drivers of Inequality and Poverty in the CEE and other EU Member States

Author

Listed:
  • Sebastian Leitner

    (The Vienna Institute for International Economic Studies, wiiw)

  • Robert Stehrer

    (The Vienna Institute for International Economic Studies, wiiw)

Abstract

Inequality is a multidimensional phenomenon though it is often discussed along a single dimension such as income. This is also the case for the various decomposition approaches of inequality indices by recipients or income sources. In this paper we study one- and multidimensional indices on inequality on data for CEE EU Member States in comparison to other EU countries including four dimensions in our measure of multidimensional inequality income, health, education, and housing, and apply various decomposition methods to these one- and multidimensional indices and also to a poverty index. In doing so, we apply standard decomposition techniques to the Mean logarithmic deviation index (I₀) and decompositions based on regression analysis in conjunction with the Shapley value approach to Gini indices.

Suggested Citation

  • Sebastian Leitner & Robert Stehrer, 2014. "Drivers of Inequality and Poverty in the CEE and other EU Member States," wiiw Research Reports 398, The Vienna Institute for International Economic Studies, wiiw.
    • Handle: RePEc:wii:rpaper:rr:398
    as

    Download full text from publisher

    File URL: https://wiiw.ac.at/drivers-of-inequality-and-poverty-in-the-cee-and-other-eu-member-states-dlp-3431.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guanghua Wan, 2002. "Regression-based Inequality Decomposition: Pitfalls and a Solution Procedure," WIDER Working Paper Series DP2002-101, World Institute for Development Economic Research (UNU-WIDER).
    2. Jonathan Morduch & Terry Sicular, 2002. "Rethinking Inequality Decomposition, With Evidence from Rural China," Economic Journal, Royal Economic Society, vol. 112(476), pages 93-106, January.
    3. Vasco Molini & Guanghua Wan, 2008. "Discovering sources of inequality in transition economies: a case study of rural Vietnam," Economic Change and Restructuring, Springer, vol. 41(1), pages 75-96, March.
    4. Sen, Amartya, 1997. "On Economic Inequality," OUP Catalogue, Oxford University Press, number 9780198292975.
    5. Wan, Guanghua, 2004. "Accounting for income inequality in rural China: a regression-based approach," Journal of Comparative Economics, Elsevier, vol. 32(2), pages 348-363, June.
    6. Ernesto Savaglio, 2006. "Multidimensional inequality with variable population size," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 28(1), pages 85-94, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sebastian Leitner, 2015. "Drivers of wealth inequality in euro area countries," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 137, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    2. Sebastian Leitner, 2018. "Factors driving wealth inequality in European countries," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 177, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    3. Anton Michálek & Ján Výbošťok, 2019. "Economic Growth, Inequality and Poverty in the EU," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(2), pages 611-630, January.

    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. Neil Foster-McGregor & Sebastian Leitner & Sandra M. Leitner & Johannes Pöschl & Robert Stehrer, 2014. "Earnings Distributions and Dimensions of Inequality," wiiw Research Reports 399, The Vienna Institute for International Economic Studies, wiiw.
    2. Sebastian Leitner, 2015. "Drivers of wealth inequality in euro area countries," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 137, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    3. Yang, Xiuna & Gustafsson, Björn & Sicular, Terry, 2021. "Inequality of opportunity in household income, China 2002–2018," China Economic Review, Elsevier, vol. 69(C).
    4. Xiaoyun Liu & Terry Sicular, 2009. "Nonagricultural Employment Determinants and Income Inequality Decomposition," Chinese Economy, Taylor & Francis Journals, vol. 42(4), pages 29-43, July.
    5. Sebastian Leitner & Robert Stehrer, 2011. "Subgroup and Shapely Value Decompositions of Multidimensional Inequality: An Application to South East European Countries," wiiw Balkan Observatory Working Papers 96, The Vienna Institute for International Economic Studies, wiiw.
    6. Feng Dong & Bolin Yu & Yifei Hua & Shuaiqing Zhang & Yue Wang, 2018. "A Comparative Analysis of Residential Energy Consumption in Urban and Rural China: Determinants and Regional Disparities," IJERPH, MDPI, vol. 15(11), pages 1-19, November.
    7. Lwin Lwin Aung & Peter Warr, 2021. "Decomposing changes in inequality: Evidence from Myanmar," Review of Development Economics, Wiley Blackwell, vol. 25(3), pages 1172-1196, August.
    8. Quheng Deng & Shi Li, 2009. "What Lies behind Rising Earnings Inequality in Urban China? Regression-based Decompositions," CESifo Economic Studies, CESifo Group, vol. 55(3-4), pages 598-623.
    9. Sabyasachi Tripathi, 2017. "Source of Inequality in Consumption Expenditure in India: A Regression Based Inequality Decomposition Analysis," Journal of Income Distribution, Ad libros publications inc., vol. 25(1), pages 1-34, March.
    10. Xu, Xinkuo & Han, Liyan & Lv, Xiaofeng, 2016. "Household carbon inequality in urban China, its sources and determinants," Ecological Economics, Elsevier, vol. 128(C), pages 77-86.
    11. Sebastian Leitner & Robert Stehrer, 2009. "Determinants of Inequality in Selected SEE Countries: Results from Shapley Value Decompositions," wiiw Balkan Observatory Working Papers 84, The Vienna Institute for International Economic Studies, wiiw.
    12. Feng Dong & Bolin Yu & Jixiong Zhang, 2018. "What Contributes to Regional Disparities of Energy Consumption in China? Evidence from Quantile Regression-Shapley Decomposition Approach," Sustainability, MDPI, vol. 10(6), pages 1-26, May.
    13. Guanghua Wan & Zhangyue Zhou, 2005. "Income Inequality in Rural China: Regression‐based Decomposition Using Household Data," Review of Development Economics, Wiley Blackwell, vol. 9(1), pages 107-120, February.
    14. Mohsen Ayyash & Siok Kun Sek, 2020. "Decomposing Inequality in Household Consumption Expenditure in Malaysia," Economies, MDPI, vol. 8(4), pages 1-15, October.
    15. Sebastian Leitner, 2018. "Factors driving wealth inequality in European countries," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 177, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    16. Juan Antonio Duro & Jordi Teixidó-Figueras & Emilio Padilla, 2017. "The Causal Factors of International Inequality in $$\hbox {CO}_{2}$$ CO 2 Emissions Per Capita: A Regression-Based Inequality Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(4), pages 683-700, August.
    17. Zelda Okatch & Abu Siddique & Anu Rammohan, 2013. "Determinants of Income Inequality in Botswana," Economics Discussion / Working Papers 13-15, The University of Western Australia, Department of Economics.
    18. Guanghua Wan & Ming Lu & Zhao Chen, 2004. "Globalization and Regional Income Inequality: Evidence from within China," WIDER Working Paper Series DP2004-10, World Institute for Development Economic Research (UNU-WIDER).
    19. Chi, Wei, 2012. "Capital income and income inequality: Evidence from urban China," Journal of Comparative Economics, Elsevier, vol. 40(2), pages 228-239.
    20. Rosalba Manna & Andrea Regoli, 2012. "Regression-based approaches for the decomposition of income inequality in Italy, 1998-2008," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 14(1), pages 5-18, October.

    More about this item

    Keywords

    inequality decomposition; multidimensional inequality; poverty;
    All these keywords.

    JEL classification:

    • A13 - General Economics and Teaching - - General Economics - - - Relation of Economics to Social Values
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

    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:wii:rpaper:rr:398. 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: Customer service (email available below). General contact details of provider: https://edirc.repec.org/data/wiiwwat.html .

    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.