We thank Hui Shan and Amir Sufi for outstanding research assistance, Andrew Samwick for providing us with computer code to impute marginal tax rates for households in the Survey of Consumer Finances, Cynthia Saccocia of Cerulli Associates for helpful discussions and data, Peter Davis, Moshe Milevsky, Austin Nichols, Kent Smetters and participants at the 2004 AEA meeting and the NBER Tax Policy and the Economy meeting for helpful comments, and the Social Security Administration and the Boston College Center for Retirement Research for research funding. The views expressed herein are those of the author(s) and do not necessarily reflect the views of the National Bureau of Economic Research
We would like to thank Iva MacLennan and David Rumpel for excellent programming assistance and Finis...
We thank Andrew Leigh for providing the computer code used to produce the Atkinson and Leigh (2005, ...
comments, and to several patient and helpful employees at the firm whose data we analyze. Financial ...
on the project. Brown is a Trustee of TIAA and has served as a speaker, author, or consultant for a ...
We thank Abby Sussman for exceptional research assistance. An earlier draft of this paper, co-author...
The authors thanks the NSF for financial support. We thank Ali Shourideh and Stefanie Stantcheva for...
for helpful discussions. Yasin Akcelik and Yunhui Tan provided excellent research assistance. The us...
We are grateful to Isaiah Andrews for excellent research assistance, to Jonathan Skinner for providi...
Financial support for this research was generously provided through NSF grants 0820361 and 0961707. ...
at Columbia University and the Sloan Foundation is gratefully acknowledged. The views expressed here...
UCLA, and Yale for helpful comments, and Google and the National Institute on Aging (grant R01-AG-02...
The authors would like to thank the National Institutes of Health under R01 HD 27248 for partial sup...
(OTDA) and Census Bureau employees including George Falco, Dave Dlugolecki, Graton Gathright, Joey M...
We would like to thank seminar participants at the IMF, World Bank, Central Bank of Chile, Central B...
Conference. I am especially indebted to Edward Glaeser, Claudia Goldin, and Lawrence Katz for detail...
We would like to thank Iva MacLennan and David Rumpel for excellent programming assistance and Finis...
We thank Andrew Leigh for providing the computer code used to produce the Atkinson and Leigh (2005, ...
comments, and to several patient and helpful employees at the firm whose data we analyze. Financial ...
on the project. Brown is a Trustee of TIAA and has served as a speaker, author, or consultant for a ...
We thank Abby Sussman for exceptional research assistance. An earlier draft of this paper, co-author...
The authors thanks the NSF for financial support. We thank Ali Shourideh and Stefanie Stantcheva for...
for helpful discussions. Yasin Akcelik and Yunhui Tan provided excellent research assistance. The us...
We are grateful to Isaiah Andrews for excellent research assistance, to Jonathan Skinner for providi...
Financial support for this research was generously provided through NSF grants 0820361 and 0961707. ...
at Columbia University and the Sloan Foundation is gratefully acknowledged. The views expressed here...
UCLA, and Yale for helpful comments, and Google and the National Institute on Aging (grant R01-AG-02...
The authors would like to thank the National Institutes of Health under R01 HD 27248 for partial sup...
(OTDA) and Census Bureau employees including George Falco, Dave Dlugolecki, Graton Gathright, Joey M...
We would like to thank seminar participants at the IMF, World Bank, Central Bank of Chile, Central B...
Conference. I am especially indebted to Edward Glaeser, Claudia Goldin, and Lawrence Katz for detail...
We would like to thank Iva MacLennan and David Rumpel for excellent programming assistance and Finis...
We thank Andrew Leigh for providing the computer code used to produce the Atkinson and Leigh (2005, ...
comments, and to several patient and helpful employees at the firm whose data we analyze. Financial ...