High Selection, Low Success: The Heterogeneous Effect of Migrants’ Access to Employment on Their Remigration

2020 ◽  
Vol 54 (4) ◽  
pp. 1104-1133
Author(s):  
Louise Caron ◽  
Mathieu Ichou

This article reconciles contrasting findings on the effect of access to employment on remigration by showing that this effect is actually heterogeneous and depends on migrants’ initial educational selection from the origin country. Combining longitudinal data from England and Wales (1971–2011) with data on educational attainment distributions in migrants’ origin countries, we find that the impact of being out of a job (unemployed or inactive) on the probability to remigrate is larger among migrants who were initially more positively selected in terms of educational attainment. This interaction effect appears stronger for male and recent migrants. Thus, in addition to migrants’ access to employment in the host country, the mismatch between migrants’ initial selection — that partly captures their premigration expectations — and their employment status at destination helps explain remigration behaviors.

2019 ◽  
Vol 20 (2) ◽  
pp. 1-27
Author(s):  
Arash Amirkhany ◽  
Pouya Seifzadeh ◽  
Isar Kiani

This research investigates effects of host country corruption and formal and informal institutional restrictiveness on the entry strategies of foreign multinational enterprises. Using data of over 400 telecommunication projects in developing markets between 2005 and 2011, we find that both formal and informal restrictiveness encourage the MNE to enter using an equity-mode with balanced ownership rather than a wholly owned subsidiary or a partnership with large differential in ownership. However, informal restrictiveness is a stronger force than the formal restrictiveness. We theorize and find a triple interaction effect which shows that this effect is stronger at lower levels than higher levels of informal restrictiveness.


Author(s):  
Emina Mehanović ◽  
Federica Vigna-Taglianti ◽  
Fabrizio Faggiano ◽  
Maria Rosaria Galanti ◽  
Barbara Zunino ◽  
...  

Abstract Purpose Adolescents’ perceptions of parental norms may influence their substance use. The relationship between parental norms toward cigarette and alcohol use, and the use of illicit substances among their adolescent children is not sufficiently investigated. The purpose of this study was to analyze this relationship, including gender differences, using longitudinal data from a large population-based study. Methods The present study analyzed longitudinal data from 3171 12- to 14-year-old students in 7 European countries allocated to the control arm of the European Drug Addiction Prevention trial. The impact of parental permissiveness toward cigarettes and alcohol use reported by the students at baseline on illicit drug use at 6-month follow-up was analyzed through multilevel logistic regression models, stratified by gender. Whether adolescents’ own use of cigarette and alcohol mediated the association between parental norms and illicit drug use was tested through mediation models. Results Parental permissive norms toward cigarette smoking and alcohol use at baseline predicted adolescents’ illicit drug use at follow-up. The association was stronger among boys than among girls and was mediated by adolescents’ own cigarette and alcohol use. Conclusion Perceived parental permissiveness toward the use of legal drugs predicted adolescents’ use of illicit drugs, especially among boys. Parents should be made aware of the importance of norm setting, and supported in conveying clear messages of disapproval of all substances.


Author(s):  
Elmo Christian Saarentaus ◽  
Aki Samuli Havulinna ◽  
Nina Mars ◽  
Ari Ahola-Olli ◽  
Tuomo Tapio Johannes Kiiskinen ◽  
...  

AbstractCopy number variants (CNVs) are associated with syndromic and severe neurological and psychiatric disorders (SNPDs), such as intellectual disability, epilepsy, schizophrenia, and bipolar disorder. Although considered high-impact, CNVs are also observed in the general population. This presents a diagnostic challenge in evaluating their clinical significance. To estimate the phenotypic differences between CNV carriers and non-carriers regarding general health and well-being, we compared the impact of SNPD-associated CNVs on health, cognition, and socioeconomic phenotypes to the impact of three genome-wide polygenic risk score (PRS) in two Finnish cohorts (FINRISK, n = 23,053 and NFBC1966, n = 4895). The focus was on CNV carriers and PRS extremes who do not have an SNPD diagnosis. We identified high-risk CNVs (DECIPHER CNVs, risk gene deletions, or large [>1 Mb] CNVs) in 744 study participants (2.66%), 36 (4.8%) of whom had a diagnosed SNPD. In the remaining 708 unaffected carriers, we observed lower educational attainment (EA; OR = 0.77 [95% CI 0.66–0.89]) and lower household income (OR = 0.77 [0.66–0.89]). Income-associated CNVs also lowered household income (OR = 0.50 [0.38–0.66]), and CNVs with medical consequences lowered subjective health (OR = 0.48 [0.32–0.72]). The impact of PRSs was broader. At the lowest extreme of PRS for EA, we observed lower EA (OR = 0.31 [0.26–0.37]), lower-income (OR = 0.66 [0.57–0.77]), lower subjective health (OR = 0.72 [0.61–0.83]), and increased mortality (Cox’s HR = 1.55 [1.21–1.98]). PRS for intelligence had a similar impact, whereas PRS for schizophrenia did not affect these traits. We conclude that the majority of working-age individuals carrying high-risk CNVs without SNPD diagnosis have a modest impact on morbidity and mortality, as well as the limited impact on income and educational attainment, compared to individuals at the extreme end of common genetic variation. Our findings highlight that the contribution of traditional high-risk variants such as CNVs should be analyzed in a broader genetic context, rather than evaluated in isolation.


2020 ◽  
pp. 1-10
Author(s):  
Carol Schall ◽  
Valerie Brooke ◽  
Rachael Rounds ◽  
April Lynch

BACKGROUND: While the health and economic impact of COVID-19 is becoming better known among the general population, little is known about the impact of the pandemic and recession on employees with intellectual and developmental disability (IDD). PURPOSE: The purpose of this paper is to examine the impact of the COVID-19 pandemic and subsequent recession on individuals with IDD. METHODS: The present paper described the impact of COVID-19 pandemic and recession on the employment status, hours worked, and hourly wage of 156 individuals with IDD who work in competitive integrated employment for February to July 2020. These findings are compared with a similar group receiving services from the same agency in February to July 2019. RESULTS: Findings indicate that these employees were not able to work from home and experienced furlough or lay off instead. Further, the number of hours worked monthly was also significantly affected. Wages were not affected by the pandemic and recession. Employees in some industries, notably health care and distribution and supplies, were less affected than employees in other industries like food service, retail, and entertainment. Finally, and surprisingly, black, indigenous, and other people of color worked more hours monthly than their white peers in both 2019 and 2020. CONCLUSION: Implications of these findings are discussed.


2021 ◽  
pp. 001316442199240
Author(s):  
Chunhua Cao ◽  
Eun Sook Kim ◽  
Yi-Hsin Chen ◽  
John Ferron

This study examined the impact of omitting covariates interaction effect on parameter estimates in multilevel multiple-indicator multiple-cause models as well as the sensitivity of fit indices to model misspecification when the between-level, within-level, or cross-level interaction effect was left out in the models. The parameter estimates produced in the correct and the misspecified models were compared under varying conditions of cluster number, cluster size, intraclass correlation, and the magnitude of the interaction effect in the population model. Results showed that the two main effects were overestimated by approximately half of the size of the interaction effect, and the between-level factor mean was underestimated. None of comparative fit index, Tucker–Lewis index, root mean square error of approximation, and standardized root mean square residual was sensitive to the omission of the interaction effect. The sensitivity of information criteria varied depending majorly on the magnitude of the omitted interaction, as well as the location of the interaction (i.e., at the between level, within level, or cross level). Implications and recommendations based on the findings were discussed.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 498.3-499
Author(s):  
P. H. Hsieh ◽  
C. Geue ◽  
O. Wu ◽  
E. McIntosh

Background:Comorbidities are prevalent in patients with rheumatoid arthritis (RA) and associated with worse outcomes as well as higher economic burden. Little is known about the impact of multimorbidity on the direct and indirect costs of RA. Evidence of the incremental scale of these multimorbidity costs will usefully inform RA interventions and policies.Objectives:The aim of this study was to describe how multimorbidity impacts on the cost-of-illness, including direct and indirect costs, in patients with RA.Methods:The Scottish Early Rheumatoid Arthritis (SERA) is a registry of patients newly presenting with RA since 2011. It contains data on patient characteristics, clinical outcomes, health-related quality of life, and employment status data. These data were linked to routinely recorded hospital admissions and primary care prescribing data. Direct costs were estimated by applying relevant unit costs to healthcare resource use quantities. Indirect cost estimates were obtained from information on employment status and hospital admissions, valued by age and sex specific wages. Two-part models (probit followed by generalized linear model) were used to estimate direct and indirect costs, adjusting for age, gender, and functional disability. The Charlson Comorbidity Index (CCI) score was calculated using patient ICD-10 diagnoses from hospital records. The number of comorbidities was categorized into “RA alone”, “single comorbidity” and “multimorbidity (>1 comorbidity)”.Results:Data were available for 1,150 patients, 65.7% were female and a mean age of 57.5±14 years. The majority of patients only had RA (54.1%), followed by a single comorbidity (23.4%) and multimorbidity (22.5%). Annual total costs were significantly higher for patients with multimorbidity (£6,669 95% CI £4,871-£8,466; OR 11.3 95% CI 8.14-15.87) and for patients with a single comorbidity (£2,075 95% CI £1,559-£2,591; OR 3.52 95% CI 2.61-4.79), when compared with RA alone (£590). The excess costs were mainly driven by direct costs (£6,281 versus £1,875 versus £556). Although the difference in indirect costs between patients with multimorbidity and a single comorbidity were not statistically significant (£1,218 versus £914, p=0.11), patients with multimorbidity were associated with significantly higher costs than those with RA only (£594, p<0.01).Conclusion:The presence of comorbidity contributes significant excess to both direct and indirect costs among RA patients. In particular, patients with multimorbidity incurred substantially higher direct costs than those with a single comorbidity or RA only.Acknowledgements:The study analysed the data from the Scottish Early Rheumatoid Arthritis (SERA) study with a linkage to routinely recorded health data from Information Service Division, National Service Scotland. We would like to thank all the patients, clinical and nursing colleagues who have contributed their time and support to the study, the SERA steering committee for the approval, and Allen Tervit from the Robertson Centre for Biostatistics, University of Glasgow for the timely technical supports.Disclosure of Interests:Ping-Hsuan Hsieh: None declared, Claudia Geue: None declared, Olivia Wu Consultant of: OW has received consultancy fees from Bayer, Lupin and Takeda outside the submitted work., Emma McIntosh: None declared


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