This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Better prepared for retirement? Using panel data to improve wealth estimates of ELSA respondents

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
James Banks () (Institute for Fiscal Studies and University College London)
Carl Emmerson () (Institute for Fiscal Studies)
Gemma Tetlow () (Institute for Fiscal Studies)

Additional information is available for the following registered author(s):

Abstract

We compare the key assumptions underpinning estimates of the pension wealth of ELSA respondents to outcomes over the period from 2002-03 to 2004-05. We find that many of these assumptions have, on average, proved cautious or reasonable. Improving pension wealth calculations using this new evidence makes little difference to the distribution of pension wealth. Previous estimates of retirement resources also considered net financial, physical and housing wealth. Particularly cautious, ex-post, was the assumption that net housing wealth would remain constant in real terms. We find that average housing wealth has risen by almost 40% in nominal terms over just two years, which is in line with growth in the Nationwide House Price Index. This large increase in house prices boosts estimates of total wealth across the entire distribution of wealth. Previous research showed that once half of current net housing wealth was included as a retirement resource 12.6% of employees approaching retirement were estimated to have resources below the Pensions Commission's definition of adequacy. We show that taking into account the high growth in house prices between 2002-03 and 2004-05 reduces this to 10.9%, and that it would fall by a further 1.2 percentage points if house prices were to grow by 2.5% a year in real terms in the future.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.ifs.org.uk/wps/wp1207.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Institute for Fiscal Studies in its series IFS Working Papers with number W07/12.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: Aug 2007
Date of revision:
Handle: RePEc:ifs:ifsewp:07/12

Contact details of provider:
Postal: The Institute for Fiscal Studies 7 Ridgmount Street LONDON WC1E 7AE
Phone: (+44) 020 7291 4800
Fax: (+44) 020 7323 4780
Email:
Web page: http://www.ifs.org.uk

Order Information:
Postal: The Institute for Fiscal Studies 7 Ridgmount Street LONDON WC1E 7AE
Email:

For technical questions regarding this item, or to correct its listing, contact: (Emma Hyman).

Related research
Keywords:

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Andrew D. Eschtruth & Wei Sun & Anthony Webb, 2006. "Will Reverse Mortgages Rescue the Baby Boomers?," Issues in Brief ib2006-54, Center for Retirement Research, revised Sep 2006. [Downloadable!]
Full references

Statistics
Access and download statistics

Did you know? Each page is provided with a technical contact, in case something is not right with the supplied information. See under "publisher info".

This page was last updated on 2009-11-27.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.