Place or patient as the driver of regional variation in healthcare spending – Discrepancies by category of care
Bibliographic Data
| ID | 8018069 |
|---|---|
| Authors | Naimi Johansson (0000-0003-2325-5375, University of Gothenburg, corresponding author), Niklas Jakobsson (0000-0002-7143-8793, Karlstad University), M Svensson (0000-0003-1113-7478, University of Gothenburg) |
| Year | 2024 |
| Volume | 342 |
| Pages | 116571-116571 |
| Publication date | 2024-01-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Science & Medicine (JOURNAL) |
| Journal identifiers | ISSN: 0277-9536 • E-ISSN: 1873-5347 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.socscimed.2024.116571 |
| PMID | 38215643 |
| OpenAlex | W4390640663 |
| Language | EN |
| Citations received | 1 |
| References cited | 19 |
We study how much regional variation in healthcare spending is driven by place- and patient-specific factors using a random sample of 53,620 regional migrants in Sweden. We find notable differences depending on the category of care, with place-specific factors having a significantly larger impact on specialized outpatient care compared to inpatient and pharmaceutical care. The place effect is estimated to 75% of variation in specialized outpatient care, but 26% or less in variations in inpatient care, and 5% in prescription drug spending. We also find that the empirical estimator has a substantial impact on the estimates of the place-specific effect. The results based on the traditional approach in the literature with two-way fixed effects and event-study models produce much larger estimates of the place-specific effect compared to results based on recently developed heterogeneity-robust models. For total healthcare spending, the traditional two-way fixed effects model estimates a place effect of 78%, while the heterogeneity-robust estimator finds a place effect around 10%. This finding indicates that previous results in this literature, all based on traditional two-way fixed-effects regressions, should be interpreted with care
Actuarial science · Business · Econometrics · Economic growth · Economics · Estimator · Fixed effects model · Health care · Inpatient care · Medical prescription · Panel data · Public economics · Regional variation · Sample (material · Statistics · Variation (astronomy · Global Health Care Issues · Healthcare Policy and Management · Mathematics · Medicine · Nursing · Spatial and Panel Data Analysis
Elasticities and the Inverse Hyperbolic Sine Transformation
Sources of Geographic Variation in Health Care
Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects
Difference-in-differences with variation in treatment timing
Difference-in-Differences with multiple time periods
Estimating dynamic treatment effects in event studies with heterogeneous treatment effects
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |