Grants and Contracts Details
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.
Status | Finished |
---|---|
Effective start/end date | 12/8/22 → 12/7/23 |
Funding
- George Mason University: $68,900.00
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