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Transitions out of and back to employment among older men and women in the UK

Author: David Haardt; McMaster University. Program on Social and Economic Dimensions of an Aging Population.
Publisher: Hamilton, Ont. : SEDAP Research Program, McMaster University, 2007
Series: SEDAP research paper, no. 197.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This paper analyses the labour market transitions of older men and women using data from the British Household Panel Survey (BHPS). I find large peaks in exit rates out of employment at ages 60 (women) and 65 (both sexes) which occur in the exact birthday month. This suggests that pension schemes have strong incentive effects. Discrete-time hazard regression analysis shows that benets and health status are the two  Read more...
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Genre/Form: Electronic books
Statistics
Additional Physical Format: Haardt, David, author.
Transitions out of and back to employment among older men and women in the UK./
Hamilton, Ontario, Canada : SEDAP Research Program, McMaster University, [2007]
(CaOONL)20150011318
(OCoLC)907095904
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: David Haardt; McMaster University. Program on Social and Economic Dimensions of an Aging Population.
OCLC Number: 336009846
Notes: "May 2007."
Cover title.
Abstract in English and French.
Description: 1 online resource (67 pages).
Series Title: SEDAP research paper, no. 197.
Responsibility: David Haardt.
More information:

Abstract:

This paper analyses the labour market transitions of older men and women using data from the British Household Panel Survey (BHPS). I find large peaks in exit rates out of employment at ages 60 (women) and 65 (both sexes) which occur in the exact birthday month. This suggests that pension schemes have strong incentive effects. Discrete-time hazard regression analysis shows that benets and health status are the two most important determinants of retirement, with effects that are larger than found in previous studies for British and US men. When modelling unobserved heterogeneity I find that women are twice as likely as men to be m̀overs' between work and non-work.

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