Relación predictiva no lineal entre el PIB per cápita y la tasa de mortalidad
Caso de estudio Reino Unido
Datos Bibliográficos
| ID | 6166871 |
|---|---|
| Autores | Orlando Joaqui-Barandica (0000-0001-8190-0518, Universidad del Valle), Oscar Walduin Orozco-Cerón (0000-0003-4459-0447, Universidad del Valle) |
| Año | 2023 |
| Número | 93 |
| Páginas | 177-206 |
| Fecha de publicación | 2023-03-03 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Revista Desarrollo y Sociedad (JOURNAL) |
| Identificadores de la revista | ISSN: 0120-3584 • E-ISSN: 1900-7760 |
| Editorial | Universidad de los Andes (PUBLISHER • VE) |
| DOI | 10.13043/dys.93.5 |
| OpenAlex | W4323040049 |
| Idioma | ES |
| Referencias citadas | 37 |
Various analyses have studied the hypothesis of the change in mortality rates, finding, in some cases, a decrease, which has been associated to different factors, including economic growth. This study applies a cross-quantilogram to study the relationship between GDP per capita and the mortality rate for both men and women, taking the United Kingdom as a case study. The objective is to show that there are associations between different quantiles of the variables studied. It is found that there are asymmetric associations, the results show that there is a greater impact of GDP (Gross domestic product) per capita on the mortality rate, compared to the opposite relationship. In the case of women and men, high quantiles of economic growth have a greater impact on reducing mortality rates compared to low quantiles of economic growth, this may be a factor that can be attributed to the highly loaded labor force for males
Art · Geography · Humanities · Political science · Global Health Care Issues
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Recessions lower (some) mortality rates
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| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |