Abstract

 
 

References (26)



 
 

Citations (2)



 


 



Borrowing from Yourself: 401(K) Loans and Household Balance Sheets


Geng Li


Federal Reserve Board

Paul A. Smith


Federal Reserve Board of Governors

August 12, 2008


Abstract:     
We examine 401(k) borrowing since 1992 and identify a puzzle: despite potential gains from borrowing against 401(k) assets instead of from other sources, most eligible households eschew 401(k) loans, including many who carry relatively expensive balances on credit cards and auto loans. We estimate that households with access to 401(k) loans could have saved about $3.3 billion in 2004 - about $200 per household - by shifting debt to 401(k) loans. We find that liquidity constrained households are most likely to borrow against their accounts; however, the fastest growth has been among higher income, less liquidity constrained households. From 1992 to 2004, we do not find significantly different growth in wealth between households eligible for loans and those ineligible for loans. The recent tightening of terms and standards in mortgage and consumer lending has likely increased 401(k) borrowing, which could improve household balance sheets, if handled correctly. However, the improvement could be short-lived if the economic downturn leads to reduced contributions or significantly higher 401(k) loan defaults.

Number of Pages in PDF File: 28

Keywords: 401(k) loans, household debt, household wealth, consumption

JEL Classification: E21, G23, H24

working papers series


Download This Paper

Date posted: August 14, 2008  

Suggested Citation

Li, Geng and Smith, Paul A., Borrowing from Yourself: 401(K) Loans and Household Balance Sheets (August 12, 2008). Available at SSRN: http://ssrn.com/abstract=1222734 or http://dx.doi.org/10.2139/ssrn.1222734

Contact Information

Geng Li
Federal Reserve Board ( email )
20th Street and Constitution Avenue NW
Washington, DC 20551
United States
Paul A. Smith (Contact Author)
Federal Reserve Board of Governors ( email )
20th and C Streets, NW
Washington, DC 20551
United States
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 480
Downloads: 63
Download Rank: 179,520
References:  26
Citations:  2

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo8 in 0.391 seconds