ADVERTIMENT. Lʼaccés als continguts dʼaquesta tesi queda condicionat a lʼacceptació de les condicions dʼús establertesperlasegüentllicènciaCreativeCommons: http://cat.creativecommons.org/?page_id=184 ADVERTENCIA.Elaccesoaloscontenidosdeestatesisquedacondicionadoalaaceptacióndelascondicionesdeuso establecidasporlasiguientelicenciaCreativeCommons: http://es.creativecommons.org/blog/licencias/ WARNING.Theaccesstothecontentsofthisdoctoralthesisitislimitedtotheacceptanceoftheuseconditionsset bythefollowingCreativeCommonslicense: https://creativecommons.org/licenses/?lang=en “PhD˙Thesis˙Pinar˙Koksel˙CED2017” — 2017/11/3 — 8:30 — page i — #1 Doctoral Thesis Submitted for the Degree of Doctor of Demography Living Arrangements of the Unemployed Across Europe: How Households Protect Us From Vulnerability Author Pınar Ko¨ksel Directors Albert Esteve - In˜aki Permanyer Tutor Albert Esteve UNIVERSITATAUTO´NOMADEBARCELONA DEPARTAMENTDEGEOGRAF´IA CENTRED’ESTUDISDEMOGRAFICS November2017 “PhD˙Thesis˙Pinar˙Koksel˙CED2017” — 2017/11/3 — 8:30 — page ii — #2 Fundingforthisresearchwasmadepossiblebythefollowingprojects: WORLDFAM (Towards a Unified Analysis of World Population: Family PatternsinMultilevelPerspective;ERC-2009-StG-240978),PI:Dr. Albert Esteve EQUALIZE (Equalizing or Disequalizing? Opposing Socio-demographic Determinants of the Spatial Distribution of Welfare; ERC-2014-StG- 637768),PI:Dr. In˜akiPermanyer CRISFAM(SpanishMinisteriodeEconom´ıayCompetitividad;CSO2015- 64713-R),PI:Dr. In˜akiPermanyer ii “PhD˙Thesis˙Pinar˙Koksel˙CED2017” — 2017/11/3 — 8:30 — page iii — #3 Lunavebabasina.. iii “PhD˙Thesis˙Pinar˙Koksel˙CED2017” — 2017/11/3 — 8:30 — page iv — #4 Acknowledgments: I would like start by expressing my sincere gratitude to Dr.Albert Es- teve for giving me the opportunity to be a part of the Centre for Demo- graphic Studies (CED). These years I spent in Barcelona not only led to writing of this PhD thesis, but more importantly to various fortunate life- changing events that helped me finally complete my transition to adult- hood. I feel grateful for the guidance I received throughout these years from my supervisors Dr.Albert Esteve and Dr.In˜aki Permanyer and I would like to acknowledge the insightful comments I received from Dr. Andreu Domingo during my PhD Monitoring Committees. I would also like to thank my supervisor Dr. Pau Miret during the European Doctoral School ofDemography(EDSD)andallmyfriendsfromtheEDSDwhomademy come back to being a student after many years not only manageable but alsoalotoffun. IamgratefultotheadministrativeandtechnicalstaffatCED,especially SocoandXaviforalwaysbeingtheretohelpme. Iwouldliketothankmy friends and colleagues for all the good memories I am taking away with me,especiallySarahi,Antia,Fernando,Chia,Amalia,AnnaandElizabeth for being beautiful parts of my life in Barcelona. I know that I will be seeingyouindifferentpartsoftheworld,sothisisforsurenotagoodbye. None of this would have been possible without the selfless love, care and encouragement of my dear parents who are so far away but always so close. I cannot thank them enough for feeling their support in whatever decision I have taken in my life, moving to Barcelona being one of those. Especially to my mother who traveled to Barcelona more than often lately to give us a hand and make it possible for me to write the final words of iv “PhD˙Thesis˙Pinar˙Koksel˙CED2017” — 2017/11/3 — 8:30 — page v — #5 this thesis. A big thank you to my little sister, my I wish you were here, among millions of other things, for making me feel like I am the coolest personinthewholeuniverse. I have to confess honestly that I was not seeing the light at the end of this tunnel lately if it was not for Ciganda. I do not have words to thank himhere. Icanonlypromisetosingallourfavoritesongsagainstthewind now. Icannotwaitforthenewadventuresaheadofus,withyouanywhere. Finally,IguessmylittleLunadeservesabigthankyouaswell,formaking ourlivessoupsidedownandgivingeverythinganewmeaningwithallher intensity and beauty. Thank you for being such a good girl and helping yourmother. Mostofthetime. v “PhD˙Thesis˙Pinar˙Koksel˙CED2017” — 2017/11/3 — 8:30 — page vi — #6 “PhD˙Thesis˙Pinar˙Koksel˙CED2017” — 2017/11/3 — 8:30 — page vii — #7 Contents ListofFigures xiii ListofTables xvi INTRODUCTION 1 1 THE FAMILY CONTEXT OF THE UNEMPLOYED IN EUROPE: IMPLICATIONS FOR HOUSEHOLD JOBLESS- NESS 13 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . 14 1.1.1 Background . . . . . . . . . . . . . . . . . . . . . 15 1.1.2 Intergenerational Co-residence across European Countries . . . . . . . . . . . . . . . . . . . . . . 20 1.2 DataandMethodology . . . . . . . . . . . . . . . . . . . 24 1.3 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 1.3.1 UnemploymentinJoblessHouseholdsRate . . . . 26 1.3.2 JoblessnessacrossEurope . . . . . . . . . . . . . 29 1.3.3 Multi-levelLogisticRegressionModels . . . . . . 34 1.3.4 ProbabilityofBeinginJoblessHouseholds . . . . 35 1.4 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . 41 vii “PhD˙Thesis˙Pinar˙Koksel˙CED2017” — 2017/11/3 — 8:30 — page viii — #8 2 LIVINGARRANGEMENTSOFTHEYOUNGACROSSEU- ROPEAN REGIONS: IMPLICATIONS FOR HOUSEHOLD JOBLESSNESS 45 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . 46 2.2 Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 2.3 LivingArrangementsoftheEuropeanYouth . . . . . . . . 48 2.4 UnemployedYouthinJoblessHouseholds . . . . . . . . . 56 2.5 ProbabilityofBeinginJoblessHouseholds . . . . . . . . 59 2.6 Who Contributes More to Keep the Unemployed Young OutofJoblessHouseholds: ParentsorSpouses? . . . . . . 63 2.7 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . 65 3 IMPACT OF LIVING ARRANGEMENTS ON POVERTY ANDSOCIALEXCLUSIONACROSSEUROPE 71 3.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . 72 3.2 MeasuringPoverty . . . . . . . . . . . . . . . . . . . . . 74 3.3 Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 3.4 UnemployedinJoblessHouseholdsacrossEurope . . . . . 81 3.5 At Risk of Poverty or Social Exclusion (AROPE) across Europe . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88 3.5.1 AtRiskofPoverty(AROP)acrossEurope . . . . . 89 3.5.2 SevereMaterialDeprivation(SMD)acrossEurope 100 3.5.3 LowWorkIntensity(LWI)acrossEurope . . . . . 106 3.5.4 At Risk of Poverty or Social Exclusion (AROPE) acrossEurope . . . . . . . . . . . . . . . . . . . . 107 3.6 PovertybyHouseholdTypes . . . . . . . . . . . . . . . . 113 3.7 UnemployedPopulationsinPoverty . . . . . . . . . . . . 119 3.7.1 UnemployedinAROPHouseholdsacrossEurope . 121 viii “PhD˙Thesis˙Pinar˙Koksel˙CED2017” — 2017/11/3 — 8:30 — page ix — #9 3.7.2 UnemployedinSMDHouseholdsacrossEurope . 124 3.7.3 UnemployedinLWIHouseholdsacrossEurope . . 127 3.7.4 UnemployedinAROPEHouseholdsacrossEurope 130 3.7.5 ExperienceofPovertybytheUnemployed . . . . 135 3.8 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . 138 CONCLUSIONS 149 ix
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