Upload
hope-chipo-msonza
View
218
Download
0
Embed Size (px)
Citation preview
8/17/2019 Youth unemployment and residential location 19.01.09.ppt
1/10
Project Proposal
Elina Dayanova Gregor Vulturius
Youth unemployment andresidential location
8/17/2019 Youth unemployment and residential location 19.01.09.ppt
2/10
OutlineAbout the research
Current studies review
ethodology description
!esults anticipated
8/17/2019 Youth unemployment and residential location 19.01.09.ppt
3/10
About the research
Aim o" the research# $o evaluate thein%uence o" residential location on youthunemployment probability
Object of the research: individuals at theage o" &' to () years in !ussia and Germany
Subject of the research: in%uence o"residential location on youth unemploymentprobability
8/17/2019 Youth unemployment and residential location 19.01.09.ppt
4/10
$as*s $as* $o distinguish regional
characteristics impact on youth probabilityo" unemployment
$as* +# $o distinguish education impact onyouth probability o" unemployment
8/17/2019 Youth unemployment and residential location 19.01.09.ppt
5/10
Current studies review
,olloway -. !./ 0The Role of Residential Location inConditioning the Eect of Metropolitan Economic Structureon Male Youth Employment 1/ +))2 $he Pro"essionalGeographer/ Vol. 3) 4&5/ p. (& 6 23
!. 7reen/ 0Explaining Cross-national Variation in Youthnemployment 1/ +))3 European -ociological !eview/ Vol.
+&4+5/ p.&+38&(29ieselbach/ $./ 7eelmann/ G./ Erwien/ 7./ -tit:el/ A./ $raiser/
;. 4&clusion. A Comparison o" -i> European Countries.Psychology o" -ocial ?neBuality/ vol. &). Pages &(&8&2
awless/ artin/ ,ardy 4&
8/17/2019 Youth unemployment and residential location 19.01.09.ppt
6/10
ethodology description
!ussia ongitudinal onitoring [email protected]
Cross8sectional repeated sample with split8panel isused. Data on households and individuals isincluded separately. Amount o" sampling# 2))) o"households. Periods o" reali:ation# &
8/17/2019 Youth unemployment and residential location 19.01.09.ppt
7/10
ethodology descriptionMethods in use: ultinominal regressionDependent variable: abour ar*et -tatus
Independent variables:
Sex
Age
Residential Location# !egion 4!ussia# Federal DistrictsGermany# &'
Federal ands5/ ;rban vs. !ural/ !egional characteristics4average rate o" unemplo:ment and average wage5
ducation 4-chool/ Vacational $raining/ ,igher Education/Postgraduate
-tudies5
Income 4Personal ?ncome/ -pouse ?ncome/ other "amilymembers income5
!or" xperience 4wor*ed or not5
8/17/2019 Youth unemployment and residential location 19.01.09.ppt
8/10
!esults anticipated Youth who live in regions with high average
unemployment rates are less li*ely to have a job Youth who live in regions with high average
wage level are more li*ely to have a job Youth who live in the capital o" the country and
in regional centers in !ussia as well as inGermany are more li*ely to have a job Youth who live in urban areas in !ussia as well
as in Germany are more li*ely to have a jobthan those who live in rural areas Youth with higher education level are more
li*ely to have a job than those who have lowereducation level even in regions with highaverage level o" unemployment and low
average wage level
8/17/2019 Youth unemployment and residential location 19.01.09.ppt
9/10
!esults delimitations $he results could be improved by including
additional "actors in the model/ such associal ties/ in"ormal practices/ etc.
8/17/2019 Youth unemployment and residential location 19.01.09.ppt
10/10
$han* you "or your
attention