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How Retirement Saving Programs Increase Saving

Datos Bibliográficos

ID4881589
AutoresJames M Poterba (Mitsui Professor of Economics, Massachusetts Institute of Technology, Cambridge, Massachusetts; Research Associates, National Bureau of Economic Research, Cambridge, Massachusetts.), Steven F Venti (Professor of Economics, Dartmouth College, Hanover, New Hampshire; Research Associates, National Bureau of Economic Research, Cambridge, Massachusetts.), David A Wise (John F. Stambaugh Professor of Political Economy, John F. Kennedy School of Government, Harvard University, Cambridge, Massachusetts; Research Associates, National Bureau of Economic Research, Cambridge, Massachusetts.)
Año1996
Volumen10
Número4
Páginas91-112
Fecha de publicación1996-11-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaThe Journal of Economic Perspectives (JOURNAL)
Identificadores de la revistaISSN: 0895-3309 • E-ISSN: 1944-7965
EditorialAmerican Economic Association (PUBLISHER • US)
DOI10.1257/jep.10.4.91
OpenAlexW2085190867
IdiomaEN
Citas recibidas25
Referencias citadas6

This paper summarizes the authors work on the effect of IRA and 401(k) contributions on net personal saving. They consider many different nonparametric approaches to controlling for heterogeneity in individual saving behavior and conclude that the weight of the available evidence suggests that contributions to both IRAs and 401(k)s largely represent new saving. The authors devote particular attention to reconciling their results with the findings in other studies that reach different conclusions, sometimes using the same databases that the authors analyze. Methodological limitations that undermine the reliability of results in other studies explain many of these disparities

Actuarial science · Econometrics · Economics · Nonparametric statistics · Public economics · Engineering · Financial Literacy, Pension, Retirement Analysis · Global Health Care Issues · Retirement, Disability, and Employment

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Obras citantes distintas25
Citas por año0,83
Intervalo de citas1996 - 2025 (30)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 22
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