๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Risk selection and matching in performance-based contracting

โœ Scribed by Mingshan Lu; Ching-to Albert Ma; Lasheng Yuan


Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
170 KB
Volume
12
Category
Article
ISSN
1057-9230

No coin nor oath required. For personal study only.

โœฆ Synopsis


Abstract

This paper examines selection and matching incentives of performanceโ€based contracting (PBC) in a model of patient heterogeneity, provider horizontal differentiation and asymmetric information. Treatment effectiveness is affected by the match between a patient's illness severity and a provider's treatment intensity. Before PBC, a provider's revenue is unrelated to treatment effectiveness; therefore, providers supply treatments even if their treatment intensities do not match with the patients' severities. Under PBC, budget allocation is positively related to treatment performance; patientโ€“provider mismatch is reduced because patients are referred more often. Using data from the state of Maine, we show that PBC leads to more referrals and better match between illness severity and treatment intensity. Moreover, we find that PBC has a positive but insignificant effect on dumping. Copyright ยฉ 2002 John Wiley & Sons, Ltd.


๐Ÿ“œ SIMILAR VOLUMES


Trust-based or performance-based managem
โœ Inger Johanne Pettersen ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 132 KB ๐Ÿ‘ 1 views

## Abstract Hospitals are frequently changing managerial practices due to numerous public sector reforms taking place. In general, these reforms include the making and monitoring of contracts that regulate relations between the hospitals and their professional staffs. The aim of this paper is to d

Assessing the performance of matching al
โœ Boris Augurzky; Jochen Kluve ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 190 KB

## Abstract This paper investigates the method of matching regarding two crucial implementation choices: the distance measure and the type of algorithm. We implement optimal full matchingโ€”a fully efficient algorithmโ€”and present a framework for statistical inference. The implementation uses data fro