Online ISSN: 1099-176X Print
Copyright © 2003 ICMPE.
Estimating Earnings Losses due to Mental Illness: A Quantile Regression Approach
Dave E. Marcotte1* and Virginia Wilcox-Gök2
Department of Public Policy, University of Maryland Baltimore County,
Baltimore, MD, USA
*Correspondence to: Dave E. Marcotte, Associate Professor, Department
of Public Policy, University of Maryland Baltimore County, 1000 Hilltop Circle,
Baltimore, MD 21250, U.S.A
Tel.: +1-410-455 1455
Fax: +1-410-455 1172
Source of Funding: This research was supported by the National Institute of Mental Health (R01-MH56463-01).
Background: The ability of workers to remain productive and sustain
earnings when afflicted with mental illness depends importantly on access
to appropriate treatment and on flexibility and support from employers.
In the United States there is substantial variation in access to health
care and sick leave and other employment flexibilities across the earnings
distribution. Consequently, a worker's ability to work and how much his/her
earnings are impeded likely depend upon his/her position in the earnings
distribution. Because of this, focusing on average earnings losses may
provide insufficient information on the impact of mental illness in the
Received 15 July 2003; accepted 21 October 2003
Copyright © 2003 ICMPE