author = { Organisation for Economic Co-operation and Development },

title = { Pensions indicators (Edition 2017) },

publisher = {OECD Publishing.},

isbn = {20777760},

keywords = { Finance and Investment , Albania , Argentina , Australia , Austria , Belgium , Bolivia , Brazil , Bulgaria , Canada , Chile , China, People’s Republic , Colombia , Costa Rica , Croatia , Czechia , Denmark , Dominican Republic , Egypt , El Salvador , Estonia , Finland , France , Germany , Hong Kong, China , Hungary , Iceland , India , Indonesia , Ireland , Israel , Italy , Jamaica , Japan , Jordan , Kazakhstan , Kenya , Korea, Republic of , Latvia , Liechtenstein , Luxembourg , Malaysia , Malta , Mauritius , Mexico , Namibia , Netherlands , New Zealand , Nigeria , North Macedonia , Norway , Pakistan , Panama , Peru , Poland , Portugal , Romania , Russian Federation , Serbia , Slovak Republic , Slovenia , South Africa , Spain , Sri Lanka , Suriname , Sweden , Switzerland , Thailand , Trinidad and Tobago , Türkiye , Ukraine , United Kingdom , United States , Uruguay , Zambia },

year = {},

abstract = {This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.},

address = { Paris },

url = { http://slubdd.de/katalog?TN_libero_mab2 }