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https://doi.org/10.1016/j.ruje.2016.04.004

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Under-reported income of Russian households

[Zeitschriftenartikel]

Murashov, Yaroslav
Ratnikova, Tatiana

Abstract

In the proposed paper, an attempt is made to estimate the proportion of unstated income for Russian households based on micro data. An overview of microeconomic approaches to estimating the scale of under-reported income is provided. These approaches are weakly represented in the national literature... mehr

In the proposed paper, an attempt is made to estimate the proportion of unstated income for Russian households based on micro data. An overview of microeconomic approaches to estimating the scale of under-reported income is provided. These approaches are weakly represented in the national literature, so their strengths and weaknesses are also analyzed. A theoretical model of household consumer behavior is described that allows the size of under-reported income to be estimated. The structure of household incomes and expenditures is studied based on an RLMS sample for 2012. The model is estimated using household subsamples based on the type of household and household income. The estimation technique utilizes regression variables and random effects. The resulting subsample estimates were applied to the general population and compared with those obtained by other researchers using alternative methods and other data. A comparison is made to estimates of under-reported income developed for British households.... weniger

Klassifikation
Volkswirtschaftstheorie

Freie Schlagwörter
under-reported household income; household consumer behavior; under-reported income parameter; regression analyses; instruments; random effects

Sprache Dokument
Englisch

Publikationsjahr
2016

Seitenangabe
S. 56-85

Zeitschriftentitel
Russian Journal of Economics, 2 (2016) 1

ISSN
2618-7213

Status
Veröffentlichungsversion; begutachtet

Lizenz
Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.