Evaluating alternative approaches for predicting pension benefits and incentives. (18th October 2021)
- Record Type:
- Journal Article
- Title:
- Evaluating alternative approaches for predicting pension benefits and incentives. (18th October 2021)
- Main Title:
- Evaluating alternative approaches for predicting pension benefits and incentives
- Authors:
- Knapp, David
Lis, Maciej
Lee, Jinkook
Phillips, Drystan - Abstract:
- Abstract: In an effort to promote comparative research on pensions, the Gateway to Global Aging Data is developing harmonized cross-national panel data on pension benefits and retirement incentives. Past research has varied in how it predicts pension benefits for individuals who have not yet claimed their benefits when administrative data on earnings histories is unavailable. We use the Gateway data to evaluate several alternative approaches to computing prospective pension benefits using common survey questions and validate them against matched administrative data. We find that in some settings naïve measures of pension benefit growth from continued work and delayed benefit claiming can perform as well as measures based on administrative data. We also find that prospective benefit levels are sensitive to the heterogeneity of lifecycle earnings dynamics, resulting in substantial measurement error even after accounting for work history.
- Is Part Of:
- Journal of pension economics & finance. Volume 20:Number 4(2021)
- Journal:
- Journal of pension economics & finance
- Issue:
- Volume 20:Number 4(2021)
- Issue Display:
- Volume 20, Issue 4 (2021)
- Year:
- 2021
- Volume:
- 20
- Issue:
- 4
- Issue Sort Value:
- 2021-0020-0004-0000
- Page Start:
- 454
- Page End:
- 467
- Publication Date:
- 2021-10-18
- Subjects:
- Cross-country analysis -- earnings dynamics -- international -- pensions -- retirement -- social security
H55 -- J26
Pensions -- Finance -- Periodicals
Social security -- Finance -- Periodicals
331.25205 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=PEF ↗
- DOI:
- 10.1017/S1474747219000027 ↗
- Languages:
- English
- ISSNs:
- 1474-7472
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 18500.xml