Interdependence among mental health care providers: evidence from a spatial dynamic panel data model with interactive fixed effects

Xu Lin () and Lizi Wu ()
Additional contact information
Xu Lin: Virginia Tech
Lizi Wu: Optum

The Annals of Regional Science, 2021, vol. 67, issue 1, No 6, 165 pages

Abstract: Abstract Understanding the pricing and operation mechanism of community mental health (CMH) providers is important for designing effective health care policies as the CMH system has been playing an essential role in providing mental health services. This paper studies the delivery of community-based mental health care and interdependence among CMH providers by investigating the pricing patterns of CMH providers in the Detroit-Wayne County of Michigan. We employ a spatial dynamic panel data model with interactive fixed effects to identify the strategic interactions among the providers, along both dimensions of time-series and cross-section spatial variations. We find evidence for significant spatial interdependence among the CMH providers, even after controlling for the interactive fixed effects. In contrast, the coefficient on the spatial-dynamic term is insignificant, suggesting that no time-space simultaneous effects exist. We also find the pure dynamic effect to be positive and significant. These findings provide important implications for mental health care policy and practice decisions.

JEL-codes: C21 I11 I18 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s00168-020-01043-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
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:spr:anresc:v:67:y:2021:i:1:d:10.1007_s00168-020-01043-w

Ordering information: This journal article can be ordered from
http://link.springer.com/journal/168

DOI: 10.1007/s00168-020-01043-w

Access Statistics for this article

The Annals of Regional Science is currently edited by Martin Andersson, E. Kim and Janet E. Kohlhase

More articles in The Annals of Regional Science from Springer, Western Regional Science Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().