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We present quasi-experimental estimates of the effect of changes in workers' compensation benefits on benefit duration and application frequency, using administrative data for California. Our design exploits two increases in temporary disability benefits occurring during the mid-1990s. We find consistent increases in the duration among injured workers whose benefits were affected by the schedule changes, and some evidence indicating that the likelihood of filing for benefits conditional on being injured is responsive to benefit levels. Finally, we evaluate whether the frequency effect on applying for indemnity benefits introduces a sample selection bias into standard quasi-experimental estimates of duration benefit elasticities. © 2004 President and Fellows of Harvard College and the Massachusetts Institute of Technology.

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Workers' compensation systems are typically designed to assign higher permanent disability benefits to workers with more severe disabilities. However, little or no scientific work exists to guide the design of ratings systems to properly account for the amount of earnings power lost due to disability. In this article, we examine the effectiveness of disability ratings using matched administrative data on ratings and earnings for a large, representative sample of permanent disability claimants in California. We find that while workers with higher ratings do experience larger earnings losses on average, there are large and persistent differences in average earnings losses for similarly rated impairments in different parts of the body. We then explore how adjusting permanent disability ratings to reflect cross-impairment differences in earnings losses can affect the equity of permanent disability benefits. Adjusting disability ratings to account for typical earnings losses reduces cross-impairment differences substantially. The adjusted ratings result in a more equitable distribution of disability benefits across workers with different impairments. Copyright (c) The Journal of Risk and Insurance, 2010.

Impairment ratings are accurate predictors of disability severity on average, but their ability to measure disability could be improved with additional information on how the relationship between ratings and earnings loss varies according to patient and injury characteristics.

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