IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0157.html
   My bibliography  Save this article

Stability of Incomes Distribution in Modern Russia (1994–2004)

Author

Listed:
  • Borodkin, Fridrich
  • Bragin, Vladimir
  • Shpack, Maria

Abstract

Stability of Incomes Distribution in Modern Russia (1994–2004) Research results on households’ incomes distribution stability are presented in the paper. Absolutely stable and unstable household groups are identified. The former are the households from the 9-th and 10-th deciles, the latter are the poorest and richest households. A definition and a statistical algorithm of identification of stable and unstable households groups and stability level estimations are proposed. The hypothesis that the households’ incomes distribution is the «fundamental» law intrinsic to the society as long as goods exchange endures independently on a country social situation and non-catastrophic changes is offered for validation. The data used in the research were obtained from The Russia Longitu-dinal Economic Monitoring Survey (RLMS).

Suggested Citation

  • Borodkin, Fridrich & Bragin, Vladimir & Shpack, Maria, 2006. "Stability of Incomes Distribution in Modern Russia (1994–2004)," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 3(3), pages 17-67.
  • Handle: RePEc:ris:apltrx:0157
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2006_3_17-67.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Denis Cogneau & Michael Grimm, 2007. "The Measurement Of Income Distribution Dynamics When Demographics Are Correlated With Income," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(2), pages 246-274, June.
    2. Feng Zhu, 2005. "A nonparametric analysis of the shape dynamics of the US personal income distribution: 1962-2000," BIS Working Papers 184, Bank for International Settlements.
    3. Longford, N.T. & Pittau, M.G., 2006. "Stability of household income in European countries in the 1990s," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1364-1383, November.
    4. Bratberg, Espen & Nilsen, Øivind Anti & Vaage, Kjell, 2002. "Assessing Changes in Intergenerational Earnings Mobility," Working Papers in Economics 26/02, University of Bergen, Department of Economics.
    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. Mark S. Handcock & Adrian E. Raftery & Jeremy M. Tantrum, 2007. "Model‐based clustering for social networks," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 301-354, March.
    2. Dominique Guegan & Bertrand Hassani & Kehan Li, 2017. "An alternative class of distortion operators," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01543251, HAL.
    3. María Gil Izquierdo & Laura de Pablos Escobar & María Martínez Torres, 2010. "Los determinantes socioeconómicos de la demanda de Educación Superior en España y la movilidad educativa intergeneracional," Hacienda Pública Española / Review of Public Economics, IEF, vol. 193(2), pages 75-108, June.
    4. Michael Grimm, 2006. "Mortality and survivors'consumption," Working Papers DT/2006/13, DIAL (Développement, Institutions et Mondialisation).
    5. Renate Ohr, 2009. "European Monetary Union at Ten: Had the German Maastricht Critics Been Wrong?," Departmental Discussion Papers 141, University of Goettingen, Department of Economics.
    6. Nicholas Longford & Pierpaolo D’Urso, 2012. "Mixtures of Autoregressions with an Improper Component for Panel Data," Journal of Classification, Springer;The Classification Society, vol. 29(3), pages 341-362, October.
    7. Longford, N.T. & Pittau, M.G., 2006. "Stability of household income in European countries in the 1990s," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1364-1383, November.
    8. Jitka Bartošová & Nicholas T. Longford, 2014. "A Study of Income Stability in the Czech Republic by Finite Mixtures," Prague Economic Papers, Prague University of Economics and Business, vol. 2014(3), pages 330-348.
    9. Pinkovskiy, Maxim L., 2013. "World welfare is rising: Estimation using nonparametric bounds on welfare measures," Journal of Public Economics, Elsevier, vol. 97(C), pages 176-195.
    10. Petra Enß & Robert Schwager, 2006. "Kommunaler Finanzausgleich und Gewerbesteuerhebesätze in Niedersachsen," Departmental Discussion Papers 127, University of Goettingen, Department of Economics.
    11. Miles Corak, 2006. "Do Poor Children Become Poor Adults? Lessons from a Cross-Country Comparison of Generational Earnings Mobility," Research on Economic Inequality, in: Dynamics of Inequality and Poverty, pages 143-188, Emerald Group Publishing Limited.
    12. Huiwen Wang & Shan Lu & Jichang Zhao, 2018. "Aggregating multiple types of complex data in stock market prediction: A model-independent framework," Papers 1805.05617, arXiv.org.
    13. Esteban Cabrera Cevallos & Edwin Buenaño, 2018. "¿Ha crecido la clase media en el Ecuador? Un análisis mediante índices de polarización del ingreso para el periodo 2007-2014," Revista de Economía del Rosario, Universidad del Rosario, vol. 21(1), pages 121-152, June.
    14. Sanjaya, M Ryan, 2007. "Health cost in Indonesia: evidences from IFLS and Susenas data," MPRA Paper 13986, University Library of Munich, Germany.
    15. Grimm, M., 2010. "Does inequality in health impede growth?," ISS Working Papers - General Series 19426, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    16. Dominique Guegan & Bertrand Hassani & Kehan Li, 2017. "An alternative class of distortion operators," Post-Print halshs-01543251, HAL.
    17. Jitka Bartošová & Vladislav Bína, 2009. "Modelling of Income Distribution of Czech Households in The Years 1996-2005," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2009(4), pages 3-18.
    18. Vivek Dehejia & Marcel Voia, 2008. "International Income Comparisons and Location Choice: Methodology, Analysis, and Implications," Carleton Economic Papers 08-02, Carleton University, Department of Economics.
    19. Dominique Guegan & Bertrand Hassani & Kehan Li, 2017. "An alternative class of distortion operators alternative tools to generate asymmetrical multimodal distributions," Documents de travail du Centre d'Economie de la Sorbonne 17030, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    20. Corinna Ahlfeld, 2009. "The scapegoat of heterogeneity - How fragmentation influences political decisionmaking," Departmental Discussion Papers 143, University of Goettingen, Department of Economics.

    More about this item

    Keywords

    householder; incomes distribution; Economic Monitoring;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General

    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:ris:apltrx:0157. 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: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    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.