Measuring success: predictors of successful economic integration of resettled female refugees

dc.contributor.authorOgoe, Sally
dc.contributor.examiningcommitteeRounce, Andrea (Political Studies)en_US
dc.contributor.examiningcommitteeCamfield, David (Sociology and Criminology)en_US
dc.contributor.examiningcommitteeOlsen, Gregg (Sociology and Criminology)en_US
dc.contributor.examiningcommitteeShields, John (Ryerson University)en_US
dc.contributor.supervisorWilkinson, Lori
dc.date.accessioned2022-07-15T18:43:23Z
dc.date.available2022-07-15T18:43:23Z
dc.date.copyright2022-06-24
dc.date.issued2022-05-31
dc.date.submitted2022-06-24T17:46:58Zen_US
dc.degree.disciplineSociology and Criminologyen_US
dc.degree.levelDoctor of Philosophy (Ph.D.)en_US
dc.description.abstractThere is a growing political, academic and practical interest in refugee integration in Canada. The challenge, however, is that not much of the existing research focuses specifically on refugee women and their unique experiences beyond mental and physical health. My dissertation contributes to addressing this gap by examining their successes and challenges in the Canadian labour market. Using the 2016 version of the Longitudinal Immigration Database (IMDB), this dissertation addresses the question: What are the characteristics that predict economic success among refugee women in Canada? A secondary question asks, to what extent does arriving during an economic recession influence the income of refugee women? This dissertation uses Critical Race theory, Intersectional theory and Segmented Labour Market theory informed by a quantitative research design to address these questions. These theoretical perspectives help to understand the findings suggesting that the barriers in the Canadian labour market help to sustain existing racism, discrimination and inequality refugee women experience. The findings indicate that the level of education at arrival for refugee women in Canada varies. Based on the sample population in my dataset and existing research, there are large numbers of refugee women with low levels of education compared to those with graduate-level education and of those with university degrees. A significant number (62%), however, have skilled and technical education and work experiences prior to their arrival to Canada. In addition, the most dominant skill level among refugee women in Canada is elemental labour followed by intermediate labour and clerical skills. Very few refugee women (mainly those aged between 35 to 49 years) arrive in Canada with managerial and professional skills. Education is an important predictor of the employment income of refugee women in Canada according to the results of the multivariate analysis. The findings in this study, not surprisingly, reveal that refugee women with university degrees earn significantly more than those with a high school diploma or less. As time in Canada and education levels increase, so does the chances of earning an income that is higher than median employment income. Arriving during a recession (2008) does not seem to have an influence on their wages in the long-term. In the short term, however, there is a decline in wages and income three and six years after arrival for groups who arrived during the latest recession.en_US
dc.description.noteOctober 2022en_US
dc.identifier.urihttp://hdl.handle.net/1993/36619
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectRefugee Womenen_US
dc.subjectRecessionen_US
dc.subjectLabour Marketen_US
dc.subjectCanadaen_US
dc.subjectEmploymenten_US
dc.subjectEconomic Integrationen_US
dc.subjectForeign Credential Recognitionen_US
dc.titleMeasuring success: predictors of successful economic integration of resettled female refugeesen_US
dc.typedoctoral thesisen_US
local.subject.manitobanoen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Ogoe_Sally.pdf
Size:
1.79 MB
Format:
Adobe Portable Document Format
Description:
Thesis
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.2 KB
Format:
Item-specific license agreed to upon submission
Description: