How to Attract Physicians to Underserved Areas? Policy Recommendations from a Structural Model
Francisco Costa,
Letícia Nunes and
Fabio Miessi Sanches
Additional contact information
Fabio Miessi Sanches: BI Norwegian Business School and Insper
The Review of Economics and Statistics, 2024, vol. 106, issue 1, 36-52
Abstract:
This paper exploits location choices of all generalist physicians who graduated in Brazil between 2001 and 2013 to study policies aimed at increasing the supply of physicians in underserved areas. We set up and estimate a supply and demand model for physicians. We estimate physicians' locational preferences using a random coefficients discrete choice model. The demand has private establishments competing for physicians with private and public facilities around the country. Policy counterfactuals indicate that quotas in medical schools for students born in underserved areas and the opening of vacancies in medical schools in deprived areas are more cost-effective than financial incentives.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1162/rest_a_01155
Access to PDF is restricted to subscribers.
Related works:
Working Paper: How to Attract Physicians to Underserved Areas? Policy Recommendations from a Structural Model (2019) 
Working Paper: How to Attract Physicians to Underserved Areas? Policy Recommendations from a Structural Model (2019) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tpr:restat:v:106:y:2024:i:1:p:36-52
Ordering information: This journal article can be ordered from
https://mitpressjour ... rnal/?issn=0034-6535
Access Statistics for this article
The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu
More articles in The Review of Economics and Statistics from MIT Press
Bibliographic data for series maintained by The MIT Press ().