Mercer CFA Institute Global Pension Index 2024 : Feature chapter : Helping DC members get the best retirement outcome
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| Tag | 1 | 2 | Valor |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20240017095 | ||
| 003 | MAP | ||
| 005 | 20241021161423.0 | ||
| 008 | 211026s2024 usa|||| ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a40 | ||
| 245 | 1 | 0 | $aMercer CFA Institute Global Pension Index 2024$b: Feature chapter : Helping DC members get the best retirement outcome |
| 260 | $aMelbourne$bMercer$aCharlottesville, Virginia$bCFA Institute$aClayton $bMonash University$c2024 | ||
| 300 | $a108 p. | ||
| 520 | $aThe structure and characteristics of pension systems around the world exhibit great diversity, with a wide range of features and norms. Comparisons are not straightforward. In addition, the lack of readily available and comparable data relating to many systems provides additional challenges for such a comparison. Therefore, this report uses a variety of data sources, drawing on publicly available data wherever possible | ||
| 650 | 4 | $0MAPA20080554927$aJubilación | |
| 650 | 4 | $0MAPA20080604004$aSistemas de pensiones | |
| 650 | 4 | $0MAPA20080580872$aImpacto económico | |
| 650 | 4 | $0MAPA20080625597$aEnvejecimiento de la población | |
| 650 | 4 | $0MAPA20080555016$aLongevidad | |
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 710 | 1 | $0MAPA20080454821$aMercer Human Resource Consulting | |
| 856 | $uhttps://www.mercer.com/insights/investments/market-outlook-and-trends/mercer-cfa-global-pension-index/ |