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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 Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 30-54.
    • Handle: RePEc:ris:apltrx:0316
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    References listed on IDEAS

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    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. 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.
    4. 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.
    5. Murashov, Yaroslav & Ratnikova, Tatiana, 2016. "Under-reported income of Russian households," Russian Journal of Economics, Elsevier, vol. 2(1), pages 56-85.
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    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 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.

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    More about this item

    Keywords

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    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

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