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Cited by 555

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Pensions, The Option Value of Work, and Retirement

Open access
Stock, James, Wise, David·1988·National Bureau of Economic Research

Abstract

The paper develops a model of retirement based on the option value of continuing to work.Continuing to work maintains the option of retiring on more advantageous terms later.The model is used to estimate the effects on retirement of firm pension plan provisions.Typical defined benefit pension plans in the United States provide very substantial incentives to remain with the firm until some age, often the early retirement age, and then a strong incentive to leave the firm thereafter.(This may be a major reason for the rapidly declining labor force participation rates of older workers in the United States.)The model fits firm retirement data very well; it captures very closely the sharp discontinuous jumps in retirement rates at specific ages.The model is used to simulate the effect on retirement of potential changes in pension plan provisions.Increasing the age of early retirement from 55 to 60, for example, would reduce firm departure rates between ages 50 and 59 by almost forty percent.

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Crossref · 10.3386/w2686

Cites

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Metadata

Authors
Stock, J., & Wise, D.
Venue
National Bureau of Economic Research
Published
1988-08
OpenAlex
W2891507842
Cited by
555
References
19
Type
report
Language
en
Open access
green

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CoChat. (2026). Citation check: Pensions, The Option Value of Work, and Retirement. https://app.cochat.ai/papers/10.3386/w2686
The paper
Stock, J., & Wise, D. (1988). Pensions, The Option Value of Work, and Retirement. National Bureau of Economic Research. https://doi.org/10.3386/w2686

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.