Economics at your fingertips  

Measuring heterogeneity in hospital productivity: a quantile regression approach

Galina Besstremyannaya () and Sergei Golovan ()
Additional contact information
Galina Besstremyannaya: National Research University Higher School of Economics
Sergei Golovan: New Economic School

Journal of Productivity Analysis, 2023, vol. 59, issue 1, No 2, 15-43

Abstract: Abstract This paper focuses on acute-care local public hospitals in Japan and evaluates differences in hospital technology, as reflected in the productivity of labor specialties, physical capital and medicines, and in the impact of teaching activities and other hospital characteristics on hospital output. We use panel data quantile regressions with fixed effects to model a range of technologies for the multi-product output function of hospitals. The analysis reveals technological heterogeneity across high-output and low-output hospitals. We discover inexpedient labor/capital and labor/medicines mix, and vast opportunities for cost savings. The results contribute to scant empirical literature on variation in the hospital production.

Keywords: Quantile regression; Panel data; Productivity; Input mix; Hospitals; C440; C610; I130 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) Abstract (text/html)
Access to full text is restricted to subscribers.

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:

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2

DOI: 10.1007/s11123-022-00650-3

Access Statistics for this article

Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski

More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

Page updated 2023-02-04
Handle: RePEc:kap:jproda:v:59:y:2023:i:1:d:10.1007_s11123-022-00650-3