Arthritis and the earnings of men. An analysis incorporating selection bias. |
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| Authors: | J M Mitchell J S Butler |
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| Affiliation: | 1. Dept of Otorhinolaryngology, Cityakuten, Stockholm, Sweden;2. Division of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden;3. Dept of Otorhinolaryngology, Västerås Central Hospital, Sweden;4. Centre for Clinical Research, Uppsala University, County Hospital, Västerås, Sweden;5. Dept of Otorhinolaryngology, Queen Sophias Hospital, Stockholm, Sweden;6. Dept. of Otorhinolaryngology, Akershus University Hospital and University of Oslo, Campus Ahus, Oslo, Norway;1. Department of Physics, National Institute of Technology, Hamirpur (H.P.) 177005, India;2. Department of Physics, Govt. Post Graduate College, Chamba (H.P.) 176310, India;1. Department of Chemistry and Biochemistry, California State University, Long Beach, 1250 Bellflower Blvd., Long Beach, CA 90840, USA;2. Department of Physics, California State University, Long Beach, 1250 Bellflower Blvd., Long Beach, CA 90840, USA;2. Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI;3. Department of Immunology and Microbiology, Wayne State University School of Medicine, Detroit, MI;4. Department of Obstetrics and Gynecology, University of Michigan Medical School, Ann Arbor, MI, Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, MI, and Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI |
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| Abstract: | ![]()
Arthritis is a chronic and crippling disease which affects the work effort and earnings of more than 14 million working-age victims. This paper examines the effects of arthritis on the earnings of men aged 18 to 64. Arthritis has large and significant effects on earnings. Most models incorporating selection bias have examined groups with lower labor force participation rates than prime-age males, but significant selection bias is found here. When selection bias is considered, the estimated absolute effects of arthritis are increased and the percentage of the gap between arthritic and non arthritic males explained by arthritis, as opposed to other factors, increases. This study is unusual in identifying the effects of a single disease on earnings. |
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