IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0316.html
   My bibliography  Save this article

The dynamics of unrecorded income of Russian households

Author

Listed:
  • Yaroslav Murashov

    (National Research University Higher School of Economics, Moscow, Russian Federation)

  • Tatiana Ratnikova

    (National Research University Higher School of Economics, Moscow, Russian Federation)

Abstract

In the work based on microdata is an attempt to assess the share of unrecorded income of Russian households. Describes a theoretical model of consumer behaviour of households, allowing us to obtain an interval estimate of concealed income. The dynamics of income structure and expenditure of Russian households based on the data of the RLMS for the period 2004 to 2015 with a focus on differences in consumption and incomes of self-employed households. For subsamples formed according to the type of settlement and size of the declared income, the estimates of the share of concealed income.

Suggested Citation

  • Yaroslav Murashov & Tatiana Ratnikova, 2017. "The dynamics of unrecorded income of Russian households," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 30-54.
    • Handle: RePEc:ris:apltrx:0316
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2017_46_030-054.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Panayiota Lyssiotou & Panos Pashardes & Thanasis Stengos, 2004. "Estimates of the black economy based on consumer demand approaches," Economic Journal, Royal Economic Society, vol. 114(497), pages 622-640, July.
    2. Murashov, Yaroslav & Ratnikova, Tatiana, 2016. "Under-reported income of Russian households," Russian Journal of Economics, Elsevier, vol. 2(1), pages 56-85.
    3. Pissarides, Christopher A. & Weber, Guglielmo, 1989. "An expenditure-based estimate of Britain's black economy," Journal of Public Economics, Elsevier, vol. 39(1), pages 17-32, June.
    4. Murashov, Yaroslav & Ratnikova, Tatiana, 2016. "Under-reported income of Russian households," Russian Journal of Economics, Elsevier, vol. 2(1), pages 56-85.
    5. V. Gimpelson & A. Zudina., 2011. "Informal Workers in the Russian Economy: Who Are They and How Many?," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 10.
    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. Lyudmila Nivorozhkina & Sergey Arzhenovskiy & Svetlana Galazova, 2020. "Estimation of Undisclosed Household Earnings Based on the Pissarides-Weber Model Modification," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 635-646.
    2. Sergei Belev & Konstantin Vekerle & Anastasiia Evdokimova, 2021. "The difference in tax evasion amount among various taxpayers’ groups in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 62, pages 66-84.
    3. Svetlana PYANKOVA & Mikhail KOMBAROV, 2022. "To the question of the importance of combating the shadow economy in Russia," Access Journal, Access Press Publishing House, vol. 3(2), pages 159-176, April.

    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. Niizeki, Takeshi & Hamaaki, Junya, 2023. "Do the self-employed underreport their income? Evidence from Japanese panel data," Journal of the Japanese and International Economies, Elsevier, vol. 67(C).
    2. Felix Schmutz, 2016. "Measuring the Invisible: An Overview of and Outlook for Tax Non-Compliance Estimates and Measurement Methods for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 152(II), pages 125-177, June.
    3. Braguinsky, Serguey & Mityakov, Sergey, 2015. "Foreign corporations and the culture of transparency: Evidence from Russian administrative data," Journal of Financial Economics, Elsevier, vol. 117(1), pages 139-164.
    4. Per Engström & Johannes Hagen & Edvard Johansson, 2023. "Estimating tax noncompliance among the self-employed—evidence from pleasure boat registers," Small Business Economics, Springer, vol. 61(4), pages 1747-1771, December.
    5. Knut R. Wangen, 2005. "An Expenditure Based Estimate of Britain's Black Economy Revisited," Discussion Papers 414, Statistics Norway, Research Department.
    6. Torregrosa-Hetland, Sara, 2016. "Sticky Income Inequality In The Spanish Transition (1973-1990)," Revista de Historia Económica / Journal of Iberian and Latin American Economic History, Cambridge University Press, vol. 34(1), pages 39-80, March.
    7. Mathias Silva, 2023. "Parametric models of income distributions integrating misreporting and non-response mechanisms," AMSE Working Papers 2311, Aix-Marseille School of Economics, France.
    8. Bernard Fortin & Guy Lacroix & Dominique Pinard, 2010. "Evaluation of the Underground Economy in Quebec: A Microeconomic Approach," International Economic Journal, Taylor & Francis Journals, vol. 24(4), pages 463-479.
    9. Hanousek, Jan & Lichard, Tomáš & Torosyan, Karine, 2016. "‘Flattening’ the Tax Evasion: Evidence from the Post-Communist Natural Experiment," CEPR Discussion Papers 11229, C.E.P.R. Discussion Papers.
    10. Lindsay Tedds, 2010. "Estimating the income reporting function for the self-employed," Empirical Economics, Springer, vol. 38(3), pages 669-687, June.
    11. Karine Torosyan & Randall K. Filer, 2014. "Tax reform in Georgia and the size of the shadow economy," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 22(1), pages 179-210, January.
    12. Cabral, Ana Cinta G. & Gemmell, Norman, 2018. "Estimating Self-Employment Income-Gaps from Register and Survey Data: Evidence for New Zealand," Working Paper Series 20833, Victoria University of Wellington, Chair in Public Finance.
    13. Dóra Benedek & Orsolya Lelkes, 2011. "The Distributional Implications of Income Under‐Reporting in Hungary," Fiscal Studies, Institute for Fiscal Studies, vol. 32(4), pages 539-560, December.
    14. Ana Cinta G. Cabral & Norman Gemmell & Nazila Alinaghi, 2021. "Are survey-based self-employment income underreporting estimates biased? New evidence from matched register and survey data," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 28(2), pages 284-322, April.
    15. Michael Pickhardt & Jordi Sarda, 2011. "The size of the underground economy in Germany: a correction of the record and new evidence from the modified-cash-deposit-ratio approach," European Journal of Law and Economics, Springer, vol. 32(1), pages 143-163, August.
    16. Kseniya Abanokova & Hai-Anh H. Dang, 2023. "Poverty in Russia: a bird’s-eye view of trends and dynamics in the past quarter of a century," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 58, pages 627-635, Edward Elgar Publishing.
    17. Cabral, Ana Cinta G. & Gemmell, Norman, 2018. "Estimating Self-Employment Income-Gaps from Register and Survey Data: Evidence for New Zealand," Working Paper Series 7625, Victoria University of Wellington, Chair in Public Finance.
    18. Howe, E. Lance & Murphy, James J. & Gerkey, Drew & Stoddard, Olga B. & West, Colin Thor, 2023. "Sharing, social norms, and social distance: Experimental evidence from Russia and Western Alaska," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 345-358.
    19. Paulus, Alari, 2015. "Tax evasion and measurement error: An econometric analysis of survey data linked with tax records," ISER Working Paper Series 2015-10, Institute for Social and Economic Research.
    20. Philippe Adair, 2012. "The Non-Observed Economy in the European Union Countries (EU-15): A Comparative Analysis of Estimates," Chapters, in: Michael Pickhardt & Aloys Prinz (ed.), Tax Evasion and the Shadow Economy, chapter 5, Edward Elgar Publishing.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

    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:0316. 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.