Stochastic Frontier Estimation Of Cost Models Within The Hospital

A-Tier
Journal: Review of Economics and Statistics
Year: 2001
Volume: 83
Issue: 2
Pages: 302-309

Authors (4)

W. David Bradford (University of Georgia) Andrew N. Kleit (not in RePEc) Marie A. Krousel-Wood (not in RePEc) Richard N. Re (not in RePEc)

Score contribution per author:

1.005 = (α=2.01 / 4 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Assessing the impact of new technologies on health care costs is an important research area. This paper evaluates two technologies used to treat coronary artery disease. We estimate two separate stochastic frontier models - one for balloon angioplasty patients and one for cardiac bypass surgery patient - using data taken from detailed chart and cost files of a large urban hospital. Cost estimates for the two technologies are purged of inefficiency so that forecasts of the cost consequences of technology shift can be based on "best-practice" production techniques. Learning behavior, physician effects, and patient clinical characteristics are also taken into account. We find that there are potential cost savings associated with making angioplasty a more perfect substitute for bypass surgery, as well as current inefficiency in production. © 2001 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology

Technical Details

RePEc Handle
repec:tpr:restat:v:83:y:2001:i:2:p:302-309
Journal Field
General
Author Count
4
Added to Database
2026-01-24