Detalles del proyecto
Description
Whether and to what extent healthcare regulations impede access to care, thereby worsening health
outcomes, is the subject of extensive debate among health economists and health policy experts.
However, the literature typically focuses on only one regulation at a time, such as certificate-of-need
(CON) laws or occupational licensing requirements. Newly available data from the Mercatus Center uses
machine-learning-based textual analysis of federal and state laws to quantify the number of healthcare
regulations as well as classify them by type. These data provide a unique opportunity to study the total
effect of the entire regulatory environment present in each state at particular points in time.
Additionally, the categorization of the regulations enables an investigation of which types of laws have
the greatest effect.
| Estado | Finalizado |
|---|---|
| Fecha de inicio/Fecha fin | 12/8/22 → 12/7/23 |
Financiación
- George Mason University: 68.900,00 US$
Huella digital
Explore los temas de investigación que se abordan en este proyecto. Estas etiquetas se generan con base en las adjudicaciones/concesiones subyacentes. Juntos, forma una huella digital única.