Remittance and financial inclusion in refugee migrants: Inverse probability of treatment weighting using the propensity score

dc.contributor.authorWellalage, Nirosha Hewaen_NZ
dc.contributor.authorLocke, Stuarten_NZ
dc.date.accessioned2023-01-24T23:49:31Z
dc.date.available2023-01-24T23:49:31Z
dc.date.issued2019-08-10en_NZ
dc.description.abstractThis paper investigates the impact on remittances on financial inclusion of refugee migrants. While financial inclusion is gaining traction in the humanitarian and development literature, the linkage with the potential to improve the wellbeing of refugees, who are part of an upward spiral in numbers, has not been tackled. We examine World Bank survey data of 1041 Syrian refugees, using inverse probability of treatment weighting propensity score analysis (IPTW). The method minimises the influence of outliers and addresses unobservable and missing data biases, which can plague survey based data. We observe that common indicators of financial inclusion when applied to refugees, given their limited access to formal financial services, may introduce a bias as informal financial sector and excluded formal financial sector services do contribute to inclusiveness. We adopt a broader protocol for our data, measuring financial inclusion through six metrics stemming from G20 proposals: Bank account, ATM card, IRIS account, debit card, credit card and insurance. Overall, there is an opportunity to deepen financial inclusion for refugees who receive or send remittances. The possibility of expanding the financial inclusion options, and for this to percolate through to greater social inclusion, proffers practical commercial steps and policy enabling actions.
dc.format.mimetypeapplication/pdf
dc.identifier.doi10.1080/00036846.2019.1646876en_NZ
dc.identifier.eissn1466-4283en_NZ
dc.identifier.issn0003-6846en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/15448
dc.language.isoenen_NZ
dc.publisherROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTDen_NZ
dc.relation.isPartOfAPPLIED ECONOMICSen_NZ
dc.rightsThis is an author’s accepted version of an article published in the journal: Applied Economics. © 2019 Taylor & Francis Ltd.
dc.subjectSocial Sciencesen_NZ
dc.subjectEconomicsen_NZ
dc.subjectBusiness & Economicsen_NZ
dc.subjectFinancial inclusionen_NZ
dc.subjectremittanceen_NZ
dc.subjectrefugeesen_NZ
dc.subjectpropensity score analysisen_NZ
dc.subjectinverse probability of treatment weightingen_NZ
dc.subjectBrain-drainen_NZ
dc.subjectMigrationen_NZ
dc.subjectInequalityen_NZ
dc.subjectIncomeen_NZ
dc.subjectPerformanceen_NZ
dc.subjectPovertyen_NZ
dc.titleRemittance and financial inclusion in refugee migrants: Inverse probability of treatment weighting using the propensity scoreen_NZ
dc.typeJournal Article
dspace.entity.typePublication
pubs.begin-page929
pubs.end-page950
pubs.issue9en_NZ
pubs.publication-statusPublisheden_NZ
pubs.volume52en_NZ

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