03267nam 2200709Ia 450 991082018710332120200520144314.01-280-94049-297866109404930-8213-7130-410.1596/978-0-8213-7129-9(CKB)1000000000476462(EBL)459382(OCoLC)169910139(SSID)ssj0000086994(PQKBManifestationID)11113723(PQKBTitleCode)TC0000086994(PQKBWorkID)10030880(PQKB)10867018(MiAaPQ)EBC459382(Au-PeEL)EBL459382(CaPaEBR)ebr10180755(CaONFJC)MIL94049(The World Bank)123079378(The World Bank)ocn123079378(US-djbf)14801068(EXLCZ)99100000000047646220070409d2007 uf 0engurcn|||||||||txtrdacontentcrdamediacrrdacarrierFrom red to gray the third transition of aging populations in Eastern Europe and the former Soviet Union /by Mukesh Chawla, Gordon Betcherman, and Arup Banerji1st ed.Washington DC World Bankc2007xxvi, 271 pages illustrations, color map ;26 cmDescription based upon print version of record.0-8213-7129-0 Includes bibliographical references and index.Contents; Foreword; Acknowledgments; Abbreviations; Overview; Figures; Tables; Boxes; 1. The Demographic Transition in Eastern Europe and the Former Soviet Union; 2. Demographic Change and Labor Markets; 3. Aging, Savings, and Financial Markets; 4. Aging and Pension Expenditures; 5. Aging, Long-Term Care, and Public Expenditures; 6. Aging and Education; ReferencesConventional wisdom holds that aging populations are unfavorable for economic growth because of their potential impacts on labor supply, productivity, and savings. When this is coupled with the increased spending pressures because of pension requirements and health care, aging societies are likely to face serious fiscal problems. This report addresses these concerns in the unique context of Eastern Europe and the former Soviet Union where many countries are aging rapidly without the economic resources and institutional capacity of other aging societies in Western Europe and Japan.World Bank e-Library.Older peopleEurope, EasternEconomic conditionsOlder peopleSoviet UnionEconomic conditionsPopulation forecastingEurope, EasternPopulation forecastingSoviet UnionOlder peopleEconomic conditions.Older peopleEconomic conditions.Population forecastingPopulation forecasting304.6/20947Chawla Mukesh1648169Betcherman Gordon1648170Banerji Arup1648171MiAaPQMiAaPQMiAaPQBOOK9910820187103321From red to gray3996153UNINA