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1. |
Record Nr. |
UNINA9910783442203321 |
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Autore |
Munnell Alicia Haydock |
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Titolo |
Coming up short [[electronic resource] ] : the challenge of 401(k) plans |
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Pubbl/distr/stampa |
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Washington, D.C., : Brookings Institution Press, c2004 |
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ISBN |
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1-280-81289-3 |
9786610812899 |
0-8157-9634-X |
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Descrizione fisica |
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1 online resource (221 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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401(k) plans |
Pension trusts - United States |
Defined contribution pension plans - United States |
Old age pensions - United States |
Retirement income - United States - Planning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction -- 401(k) plans and retirement income -- Participation and contributions in 401(k) plans -- Investment decisions in 401(k) plans -- The special case of company stock -- Leakages from 401(k) plans -- Withdrawing 401(k) funds at retirement -- Making pension plans do their job. |
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Sommario/riassunto |
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In this work, two experts on retirement policy analyse 401(k) plans, the fastest-growing type of employer-sponsored pension and a vital source of retirement income for the American middle class. |
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2. |
Record Nr. |
UNINA9910300103803321 |
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Titolo |
Recent Advances in Mathematical and Statistical Methods : IV AMMCS International Conference, Waterloo, Canada, August 20–25, 2017 / / edited by D. Marc Kilgour, Herb Kunze, Roman Makarov, Roderick Melnik, Xu Wang |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (622 pages) |
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Collana |
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Springer Proceedings in Mathematics & Statistics, , 2194-1017 ; ; 259 |
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Disciplina |
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Soggetti |
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Mathematics - Data processing |
Mathematical models |
Probabilities |
Biomathematics |
Mathematics |
Social sciences |
Biometry |
Computational Science and Engineering |
Mathematical Modeling and Industrial Mathematics |
Probability Theory |
Mathematical and Computational Biology |
Mathematics in the Humanities and Social Sciences |
Biostatistics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Part I: Advances in Mathematical and Statistical Modelling -- Part II: Analytical and Computational Methods in Inverse Problems -- Part III: Computational Methods and Modelling in Engineering and Mechanics -- Part IV: Mathematical Modelling and Computation in Physical and Chemical Sciences -- Part V: Mathematical Modelling in Biological and Environmental Sciences -- Part VI: Mathematical Modelling in Medical and Health Sciences -- Part VII: Mathematics and Computation in |
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Finance, Economics, and Social Sciences -- Part VIII: Theory and Applications of Dynamical Systems. |
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Sommario/riassunto |
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This book focuses on the recent development of methodologies and computation methods in mathematical and statistical modelling, computational science and applied mathematics. It emphasizes the development of theories and applications, and promotes interdisciplinary endeavour among mathematicians, statisticians, scientists, engineers and researchers from other disciplines. The book provides ideas, methods and tools in mathematical and statistical modelling that have been developed for a wide range of research fields, including medical, health sciences, biology, environmental science, engineering, physics and chemistry, finance, economics and social sciences. It presents original results addressing real-world problems. The contributions are products of a highly successful meeting held in August 2017 on the main campus of Wilfrid Laurier University, in Waterloo, Canada, the International Conference on Applied Mathematics, Modeling and Computational Science (AMMCS-2017). They make this book a valuable resource for readers interested not only in a broader overview of the methods, ideas and tools in mathematical and statistical approaches, but also in how they can attain valuable insights into problems arising in other disciplines. |
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