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Consumption smoothing and vulnerability in Russia
[journal article]
Abstract
Applying bootstrapped quantile regression to the Russian Longitudinal Monitoring Survey (RLMS) data, we examine the channels through which individuals experience and seek to cope with changes in consumption. We find that married individuals living in small households, with educated heads in urban ar... view more
Applying bootstrapped quantile regression to the Russian Longitudinal Monitoring Survey (RLMS) data, we examine the channels through which individuals experience and seek to cope with changes in consumption. We find that married individuals living in small households, with educated heads in urban areas are better equipped to smooth consumption. Investigating the impact of idiosyncratic shocks, we find that the labour market is an important transmission mechanism allowing households to smooth their consumption but also exposing them to risk, mainly through job loss. Outside of pension payments the formal social safety net does not facilitate consumption smoothing, thus heightening the importance of informal coping institutions. It transpires that both support from relatives/friends and home production act as important insurance mechanisms for the most vulnerable. In contrast with previous findings, it would seem that regardless of its historical, political and social roots, the garden plots and dachas, often romanticized in Russian literature do provide a means by which urban Russians are able to cope with economic fluctuations. We finish by stressing the important policy lessons for Russia’s developing market economy.... view less
Classification
Political Economy
Sociology of Economics
Free Keywords
vulnerability; Russia; safety net; quantile regression; consumption smoothing; I31; P20; P36
Document language
English
Publication Year
2010
Page/Pages
p. 1995-2007
Journal
Applied Economics, 42 (2010) 16
DOI
https://doi.org/10.1080/00036840701765403
Status
Postprint; peer reviewed
Licence
PEER Licence Agreement (applicable only to documents from PEER project)