Analysis of the SIPP data reveals a similar pattern of growth in the dissimilarity in distributions across occupations between disabled and nondisabled workers. In addition, the SIPP allows for an evaluation of which type of disabilities results in the least similar distribution. Figure 4.7 provides the Duncan Index calculated to compare the distribu-
Figure 4.7 Duncan Indices of Dissimilarity across Occupations and Industries, by Type of Disability, SIPP, 1997
Other tion of workers with each type of disability with the distribution of nondisabled workers across both occupations and industries. Workers with mental disorders are distributed most differently across both industries and occupations from nondisabled workers: 38 percent of either workers with mental disabilities or nondisabled workers would have to change occupations to equalize the distributions, compared with only 11 percent of workers with a musculoskeletal disability. Workers with mental disorders are much less likely than nondisabled workers to be employed in professional, technical, and craft occupations, whereas they are much more likely to be employed in service and as laborers.
Thirteen percent of workers with mental disorders (or of nondisabled workers) would have to change industries to equalize the distribution, whereas only 6 percent of workers with internal system disabilities would have to switch industries. Workers with mental disorders are less likely to be employed in the transportation, communication, and utility industry, and more likely to be employed in the service industry.
Was this article helpful?