Estimating determinants of healthcare establishment locations with restricted federal administrative data
| Autor: | Craig Wesley Carpenter, Scott Loveridge, Rebekka M. Dudensing, Anders Van Sandt |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Rural Population
media_common.quotation_subject Population Negative binomial distribution Medicare Health Services Accessibility 03 medical and health sciences 0502 economics and business Health care Humans 050207 economics education Aged media_common education.field_of_study Variables Medicaid business.industry 030503 health policy & services Health Policy Rural health 05 social sciences United States Central place theory Microdata (HTML) Demographic economics Rural Health Services 0305 other medical science business |
| Zdroj: | Health Economics. 30:1328-1346 |
| ISSN: | 1099-1050 1057-9230 |
| DOI: | 10.1002/hec.4242 |
| Popis: | We model the locational determinants of nine categories of healthcare services in the contiguous United States using restricted access federal establishment data. These data enable close examination of rural health services, which are subject to suppression in publicly published data sources. After reviewing differences in public and unsuppressed restricted data and testing underlying data generation processes for each healthcare industry, including the Poisson, negative binomial, and their zero-inflated counterparts, we estimate marginal effects for four categories of independent variables: place-based factors, financial access, characteristics of population, and industry interdependencies. Findings show establishments are less likely to be found with high concentrations of Medicare and Medicaid recipients, while agglomerations are associated with more establishments. Nonemployer establishments serve a broader spectrum of people, but the rural poor still experience less access to health care. |
| Databáze: | OpenAIRE |
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