The literature lacks solid assessments of poverty in Russia under transition compared to the poverty conditions at the onset of transition. This motivates us to analyse survey data from the city of Taganrog collected in similar manners for 1989 and 2000. Under all assumptions applied, we find that the extent of poverty has increased. The results also show that a large proportion of households with members in work-active ages have fallen into poverty. While poverty in 1989 was heavily concentrated among the elderly, Russian poverty in 2000 is to a large extent a problem for people of work-active ages and their children. Russian poverty has changed from being predictable and perhaps stable to the opposite. JEL classifications: I32, P27.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public.
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D I S C U S S I O N P A P E R S E R I E SIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. We confirm that earnings inequality has increased rapidly in both countries and is found to be similar across countries. As at the end of the 1980s, the gender wage gap is larger in Russia where earnings reach a maximum at a lower age than in China. The association between education and income in China has increased to become stronger than in Russia. The earnings penalty of being employed in the public service sector in Russia has increased while the publically employed in China enjoy a positive payoff of limited magnitude.JEL Classification: J16, J31, J45, P23
Relative poverty in urban Russia at the end of the Soviet era (using microdata for the town of Taganrog) is compared to relative poverty in Sweden. The results indicate that the extent of relative poverty was rather similar in the two societies, but also that differences in the structure of poverty existed. In urban Russia characteristics of the household head leading to a high risk of poverty were advanced age, a limited education and being female. Swedish poverty was concentrated to households with a young head.
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The article presents the results of analysis of the saving and credit activities of different socioeconomic groups of the population of Russia, according to the representative survey of the population "Generations and Gender Survey." Modern econometric techniques were used to analyze different financial strategies of households. "Portraits" of households were drawn to show different strategies of the saving and credit behavior. Conclusions were made about the degree of influence of economic and socio-demographic characteristics of households on their financial behavior.
The high and persistent level of income inequality limits the opportunities for economic growth and contributes to the persistence of a high poverty rate in Russia. Reducing inequality is integral to achieving the Sustainable Development Goals (SDG-10); thus, greater focus is needed to reduce income inequality. We assess income inequality based on a representative income and expenditure data collected at the micro level to determine the risk of increasing inequality and poverty in the context of specific socio-demographic groups and income sources. We look at the contribution of various household income sources to total income inequality, taking into account the differences in the weighting of income components, the unevenness of their distribution, and their correlation with the total distribution of income. The main data source is the project “The Russia Longitudinal Monitoring Survey-Higher School of Economics” (RLMS-HSE) for 2000–2018. Calculation of the elasticity of the Gini index by sources of total income for poor and non-poor households revealed their multidirectional impact on overall inequality. We show that social transfers in poor households do not help to reduce inequality. This indicates the need for closer attention to this phenomenon when making policy decisions connected with social policy. Moreover, the “hidden incomes” appear to be a factor reducing inequality for poor households within the framework of the accepted definitions and the formed sample of households.
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