The Importance of Statistically Measured Worklife Expectancy

Worklife Expectancy can be either assumed to a particular age or statistically measured. In cases of permanent partial disability, it is essential to statistically measure worklife expectancy in the post-injury scenario if the client retains the capacity to perform work and earn money. Failing to do so leads to a substantial underestimation of the lifetime loss of future earning capacity. This article discusses the importance of applying statistically measured worklife expectancy and builds upon previously published articles concerning measuring worklife expectancy in three ways: 1. (1) updated data (2013-2017 versions of ACS data), (2) four case scenarios where utilization of ACS data is important, and (3) an integration of how measurement of worklife expectancy fits into the damages model.

Authors

Publication Details

Journal
The Rehabilitation Professional
Published
2025-11-09
DOI
https://doi.org/10.70385/001c.147006
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
0.00
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article

The Importance of Statistically Measured Worklife Expectancy

Joesph T. Crouse
The Rehabilitation Professional
Occupational Health and Safety Research
article

The Importance of Statistically Measured Worklife Expectancy

Joesph T. Crouse
article en

Abstract

Worklife Expectancy can be either assumed to a particular age or statistically measured. In cases of permanent partial disability, it is essential to statistically measure worklife expectancy in the post-injury scenario if the client retains the capacity to perform work and earn money. Failing to do so leads to a substantial underestimation of the lifetime loss of future earning capacity. This article discusses the importance of applying statistically measured worklife expectancy and builds upon previously published articles concerning measuring worklife expectancy in three ways: 1. (1) updated data (2013-2017 versions of ACS data), (2) four case scenarios where utilization of ACS data is important, and (3) an integration of how measurement of worklife expectancy fits into the damages model.

The Rehabilitation ProfessionalVol. 28(1)
Openalex Percentile: Top 53%
Occupational Health and Safety Research
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