| Title |
The Income and Health Effects of Tribal Casino Gaming on American Indians
|
|---|---|
| Published in |
Demography, March 2012
|
| DOI | 10.1007/s13524-012-0098-8 |
| Pubmed ID | |
| Authors |
Barbara Wolfe, Jessica Jakubowski, Robert Haveman, Marissa Courey |
| Abstract |
The legalization of American Indian casino gaming in the late 1980s allows examination of the relationship between income and health in a quasi-experimental way. Revenue from gaming accrues to individual tribes and has been used both to supplement tribe members' income and to finance tribal infrastructure. We assembled annual data from 1988-2003 on tribal gaming, health care access (from the Area Resource File), and individual health and socioeconomic characteristics data (from the Behavioral Risk Factors Surveillance System). We use this information within a structural, difference-in-differences framework to study the effect of casino gaming on tribal members' income, health status, access to health care, and health-related behaviors. Our difference-in-differences framework relies on before-after comparisons among American Indians whose tribe has at some time operated a casino and with-without comparisons between American Indians whose tribe has and those whose tribe has not initiated gaming. Our results provide identified estimates of the positive effect of gaming on American Indian income and on several indicators of American Indian health, health-related behaviors, and access to health care. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 57% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Unknown | 81 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 17% |
| Researcher | 12 | 15% |
| Student > Master | 11 | 13% |
| Student > Doctoral Student | 7 | 9% |
| Student > Bachelor | 5 | 6% |
| Other | 13 | 16% |
| Unknown | 20 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 23 | 28% |
| Medicine and Dentistry | 11 | 13% |
| Psychology | 9 | 11% |
| Nursing and Health Professions | 4 | 5% |
| Economics, Econometrics and Finance | 4 | 5% |
| Other | 6 | 7% |
| Unknown | 25 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 January 2023.
All research outputs
#2,941,077
of 25,088,711 outputs
Outputs from Demography
#730
of 2,026 outputs
Outputs of similar age
#19,096
of 181,632 outputs
Outputs of similar age from Demography
#6
of 11 outputs
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