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Workers' compensation costs among construction workers: a robust regression analysis.
Friedman LS; Forst LS
J Occup Environ Med 2009 Nov; 51(11):1306-1313
Background: Workers' compensation data are an important source for evaluating costs associated with construction injuries. Methods: We describe the characteristics of injured construction workers filing claims in Illinois between 2000 and 2005 and the factors associated with compensation costs using a robust regression model. Results: In the final multivariable model, the cumulative percent temporary and permanent disability-measures of severity of injury-explained 38.7% of the variance of cost. Attorney costs explained only 0.3% of the variance of the dependent variable. Discussion: The model used in this study clearly indicated that percent disability was the most important determinant of cost, although the method and uniformity of percent impairment allocation could be better elucidated. There is a need to integrate analytical methods that are suitable for skewed data when analyzing claim costs.
Statistical analysis; Analytical processes; Injuries; Accident rates; Accident statistics; Construction industry; Workers
Lee Friedman, PhD, The Social Policy Research Institute, 4001 Emerson Street, Skokie, Chicago, IL 60612-7260
Issue of Publication
Agriculture, Forestry and Fishing
Journal of Occupational and Environmental Medicine
University of Illinois at Chicago
Page last reviewed: June 15, 2021
Content source: National Institute for Occupational Safety and Health Education and Information Division