EconPapers    
Economics at your fingertips  
 

Optimal Design of Means Tested Retirement Benefits

Dr Justin van de Ven ()

No 332, National Institute of Economic and Social Research (NIESR) Discussion Papers from National Institute of Economic and Social Research

Abstract: The design of welfare benefits is a tricky business. In this respect, James Meade placed particular emphasis on the importance of avoiding excessive distortions to the price of labour. Nevertheless, Meade noted that means testing in the delivery of welfare benefits is likely to be desirable in view of the 'hideously expensive' cost of universal benefits provision Ñ he conjectured that £1 of benefits lost for every £2 of private income earned might be appropriate. In this study we take a fresh look at the role of means testing in the provision of retirement benefits in the United Kingdom. We use an articulated rational agent model of the household to explore the effects on welfare of alternative budgetary neutral pensions arrangements. We find that extensive means testing of retirement benefits is preferred, consistent with the conjectures stated by Meade. Our analysis highlights the importance of taking into account the distortions associated with alternative methods of benefits financing when considering pensions reform.

Date: 2009-05
New Economics Papers: this item is included in nep-age
References: Add references at CitEc
Citations: View citations in EconPapers (26)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nsr:niesrd:332

Access Statistics for this paper

More papers in National Institute of Economic and Social Research (NIESR) Discussion Papers from National Institute of Economic and Social Research 2 Dean Trench Street Smith Square London SW1P 3HE. Contact information at EDIRC.
Bibliographic data for series maintained by Library & Information Manager ().

 
Page updated 2025-03-19
Handle: RePEc:nsr:niesrd:332