eprintid: 12937
rev_number: 25
eprint_status: archive
userid: 598
dir: disk0/00/01/29/37
datestamp: 2008-12-16 08:40:08
lastmod: 2015-07-23 09:35:46
status_changed: 2008-12-16 08:40:08
type: working_paper
metadata_visibility: show
creators_name: Gerry, C.J.
creators_name: Li, C.A.
creators_id: CGERR38
creators_id: 
title: Consumption smoothing and vunerability in Russia
ispublished: pub
subjects: Y
divisions: D92
keywords: Russia, economics, vulnerability, consumption smoothing, quantile regression.
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 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.
date: 2007-07
publisher: The William Davidson Institute at the University of Michigan
official_url: http://www.wdi.umich.edu/files/Publications/WorkingPapers/wp885.pdf
vfaculties: VSSEES
rae2008: 51
oa_status: green
language: eng
primo: open
primo_central: open_green
lyricists_name: Gerry, C
lyricists_id: CGERR38
full_text_status: public
series: William Davidson Institute Working Papers
number: 885
place_of_pub: Michigan, US
citation:        Gerry, C.J.;    Li, C.A.;      (2007)    Consumption smoothing and vunerability in Russia.                    (William Davidson Institute Working Papers  885). The William Davidson Institute at the University of Michigan: Michigan, US.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/12937/1/12937.pdf