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Costs of Occupational Injury and Illness Across States
The objective of this study was to estimate occupational injury and illness costs per worker across states. Analysis was conducted on injury data from the Bureau of Labor Statistics and costs data from workers' compensation records. The following states were at the top of the list for average c...
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| Published in: | Journal of occupational and environmental medicine 2004-10, Vol.46 (10), p.1084-1095 |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c5015-8461f191ef2dc71f58692843f36e5fa69d121f602de5ba2ae2fd0aa0c930331a3 |
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| cites | cdi_FETCH-LOGICAL-c5015-8461f191ef2dc71f58692843f36e5fa69d121f602de5ba2ae2fd0aa0c930331a3 |
| container_end_page | 1095 |
| container_issue | 10 |
| container_start_page | 1084 |
| container_title | Journal of occupational and environmental medicine |
| container_volume | 46 |
| creator | Waehrer, Geetha Leigh, J. Paul Cassady, Diana Miller, Ted R. |
| description | The objective of this study was to estimate occupational injury and illness costs per worker across states. Analysis was conducted on injury data from the Bureau of Labor Statistics and costs data from workers' compensation records. The following states were at the top of the list for average cost (cost per worker): West Virginia, Alaska, Wyoming, Kentucky, and Mississippi. The following states were at the bottom: South Carolina, Delaware, Minnesota, Massachusetts, and New Hampshire. The following variables (and signs on regression coefficients comparing this industry with manufacturing) were important in explaining the variation across states: employment in farming (+), agricultural service, forestry, fishing (+), mining (+), transportation and public utilities (+), wholesale trade (-), and finance, insurance, real estate (-). Southern and especially Western states were disproportionately represented in the high cost per worker list. A significant amount of the variation in cost per worker across states was explained by the composition of industries. |
| doi_str_mv | 10.1097/01.jom.0000141659.17062.4b |
| format | article |
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Southern and especially Western states were disproportionately represented in the high cost per worker list. 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Paul</creatorcontrib><creatorcontrib>Cassady, Diana</creatorcontrib><creatorcontrib>Miller, Ted R.</creatorcontrib><title>Costs of Occupational Injury and Illness Across States</title><title>Journal of occupational and environmental medicine</title><addtitle>J Occup Environ Med</addtitle><description>The objective of this study was to estimate occupational injury and illness costs per worker across states. Analysis was conducted on injury data from the Bureau of Labor Statistics and costs data from workers' compensation records. The following states were at the top of the list for average cost (cost per worker): West Virginia, Alaska, Wyoming, Kentucky, and Mississippi. The following states were at the bottom: South Carolina, Delaware, Minnesota, Massachusetts, and New Hampshire. The following variables (and signs on regression coefficients comparing this industry with manufacturing) were important in explaining the variation across states: employment in farming (+), agricultural service, forestry, fishing (+), mining (+), transportation and public utilities (+), wholesale trade (-), and finance, insurance, real estate (-). Southern and especially Western states were disproportionately represented in the high cost per worker list. A significant amount of the variation in cost per worker across states was explained by the composition of industries.</description><subject>Accidents, Occupational - economics</subject><subject>Accidents, Occupational - statistics & numerical data</subject><subject>Adult</subject><subject>Age Distribution</subject><subject>Biological and medical sciences</subject><subject>Cost of Illness</subject><subject>Cost-Benefit Analysis</subject><subject>Costs</subject><subject>Data Collection</subject><subject>Female</subject><subject>Humans</subject><subject>Illnesses</subject><subject>Incidence</subject><subject>Injuries</subject><subject>Linear Models</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Occupational accidents</subject><subject>Occupational Diseases - economics</subject><subject>Occupational Diseases - epidemiology</subject><subject>Occupational medicine</subject><subject>ORIGINAL ARTICLES</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Registries</subject><subject>Sex Distribution</subject><subject>States</subject><subject>Survival Analysis</subject><subject>United States - epidemiology</subject><subject>Workers' Compensation - economics</subject><subject>Workers' Compensation - statistics & numerical data</subject><issn>1076-2752</issn><issn>1536-5948</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><recordid>eNqFkU1r3DAQhkVpycc2P6HFBJqbXY2-LPUWlqRdCOTQ9iy0skTWla2tZBPy7ytnly70Ul1mDs_7zjsahK4BN4BV-xlD08ehweUBA8FVAy0WpGHbN-gCOBU1V0y-LT1uRU1aTs7RZc59wTlgfobOgQtMQNILJNYxT7mKvnq0dt6baRdHE6rN2M_ppTJjV21CGF3O1a1NsZTvk5lcfo_eeROyuzrWFfp5f_dj_a1-ePy6Wd8-1JaXYbVkAjwocJ50tgXPpVBEMuqpcNwboTog4EuWzvGtIcYR32FjsFUUUwqGrtDNwXef4u_Z5UkPu2xdCGZ0cc6aKEEYSPVfECQGRYgs4PU_YB_nVHYuZkCKGy-jV-jLAXrdOTmv92k3mPSiAevlBhpD0Q36dAP9egPNtkX88Thh3g6uO0mPn16AT0fAZGuCT2a0u3ziBEgh8BKVHbjnGCaX8q8wP7ukn5wJ09MymtFWsJqUBpYg9RKGF9mHg6zPU0x_bRlTSgil6B9XjKcI</recordid><startdate>200410</startdate><enddate>200410</enddate><creator>Waehrer, Geetha</creator><creator>Leigh, J. 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| identifier | ISSN: 1076-2752 |
| ispartof | Journal of occupational and environmental medicine, 2004-10, Vol.46 (10), p.1084-1095 |
| issn | 1076-2752 1536-5948 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_29624189 |
| source | JSTOR Archival Journals and Primary Sources Collection |
| subjects | Accidents, Occupational - economics Accidents, Occupational - statistics & numerical data Adult Age Distribution Biological and medical sciences Cost of Illness Cost-Benefit Analysis Costs Data Collection Female Humans Illnesses Incidence Injuries Linear Models Male Medical sciences Middle Aged Miscellaneous Occupational accidents Occupational Diseases - economics Occupational Diseases - epidemiology Occupational medicine ORIGINAL ARTICLES Public health. Hygiene-occupational medicine Registries Sex Distribution States Survival Analysis United States - epidemiology Workers' Compensation - economics Workers' Compensation - statistics & numerical data |
| title | Costs of Occupational Injury and Illness Across States |
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