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Pension Fund, Multiple Discriminant Analysis
[Zeitschriftenartikel]

dc.contributor.authorLin, Jason
dc.contributor.authorSung, Jane
dc.date.accessioned2017-10-13T09:48:35Z
dc.date.available2017-10-13T09:48:35Z
dc.date.issued2017
dc.identifier.issn2469-6501
dc.identifier.urihttp://www.ssoar.info/ssoar/handle/document/54103
dc.description.abstractThe public pension crisis has come under increasing scrutiny over the past decade as shifting demographic trends, harsh economic conditions and the very nature of pension funds have changed, and not for the better. Pension funds create valuable saving and investment tools for an individual's retirement. They make what seems like the impossible daunting task of saving sufficient funds for retirement completely feasible. All indications lead to these trends continuing, therefore pension plans need to adapt and reform. This paper is to address the pension crisis in the U.S. and intends to provide some recommendations for policy makers. This paper used the U.S. Census Bureau pension data for the fiscal years 2005-2014 to select a sample of 15 states. The time series data will be analyzed using the MDA (Multiple Discriminant Analysis) methodology to assess if a pension plan is bound to fail. MDA is used in the banking industry as a method to predict financial distress or default of bank loans. Once the regression line is determined, it can be utilized to estimate the probability of default. This methodology will be used to determine financial health of public pensions selected in the sample. The Multiple Discriminant Analysis model can be utilized to run a stress test on the public pension plans of those states selected in the sample. The Multiple Discriminant Analysis will enable public pensions and policy makers to somewhat predict the viability of their pensions. The contribution of this paper will be providing pre-warning signals and some policy recommendations for local governments to sustain their pension systems.en
dc.languageen
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.ddcWirtschaftde
dc.subject.ddcEconomicsen
dc.subject.otherPension Fund; Multiple Discriminant Analysis
dc.titleA look into the United States' Underfunded Pension System
dc.title.alternativePension Fund, Multiple Discriminant Analysis
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalInternational Journal of Business and Applied Social Science
dc.source.volume3
dc.publisher.countryUSA
dc.source.issue9
dc.subject.classozsoziale Sicherungde
dc.subject.classozSocial Securityen
dc.subject.classozÖffentliche Finanzen und Finanzwissenschaftde
dc.subject.classozPublic Financeen
dc.subject.thesozAltersvorsorgede
dc.subject.thesozretirement planningen
dc.subject.thesozAltersversorgungde
dc.subject.thesozprovision for old ageen
dc.subject.thesozRentenfondde
dc.subject.thesozpension funden
dc.subject.thesozRentenleistungde
dc.subject.thesozpension paymentsen
dc.subject.thesozRentenpolitikde
dc.subject.thesozpension policyen
dc.subject.thesozUSAde
dc.subject.thesozUnited States of Americaen
dc.identifier.urnurn:nbn:de:0168-ssoar-54103-9
dc.rights.licenceDigital Peer Publishing Licence - Basismodulde
dc.rights.licenceBasic Digital Peer Publishing Licenceen
ssoar.contributor.institutionTruman State University
internal.statusformal und inhaltlich fertig erschlossen
internal.identifier.thesoz10035369
internal.identifier.thesoz10035347
internal.identifier.thesoz10056628
internal.identifier.thesoz10050923
internal.identifier.thesoz10080524
internal.identifier.thesoz10041244
dc.type.stockarticle
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo9-18
internal.identifier.classoz11003
internal.identifier.classoz1090303
internal.identifier.journal1108
internal.identifier.document32
dc.rights.sherpaGrüner Verlagde
dc.rights.sherpaGreen Publisheren
internal.identifier.ddc300
internal.identifier.ddc330
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.sherpa1
internal.identifier.licence4
internal.identifier.pubstatus1
internal.identifier.review1
dc.subject.classhort10100
internal.pdf.version1.4
internal.pdf.validtrue
internal.pdf.wellformedtrue
internal.check.abstractlanguageharmonizerCERTAIN
internal.check.languageharmonizerCERTAIN_RETAINED


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