Estimating the quality of care in hospitals using instrumental variables

Gautam Gowrisankaran, Robert J. Town

Research output: Contribution to journalArticle

88 Citations (Scopus)

Abstract

Mortality rates are a widely used measure of hospital quality. A central problem with this measure is selection bias: simply put, severely ill patients may choose high quality hospitals. We control for severity of illness with an instrumental variables (IV) framework using geographic location data. We use IV to examine the quality of pneumonia care in Southern California from 1989 to 1994. We find that the IV quality estimates are markedly different from traditional GLS estimates, and that IV reveals different determinants of quality. Econometric tests suggest that the IV model is appropriately specified, that the GLS model is inconsistent. Copyright (C) 1999 Elsevier Science B.V.

Original languageEnglish (US)
Pages (from-to)747-767
Number of pages21
JournalJournal of Health Economics
Volume18
Issue number6
DOIs
StatePublished - Dec 1999
Externally publishedYes

Fingerprint

Quality of Health Care
Geographic Locations
Selection Bias
Pneumonia
Mortality
Instrumental variables
Quality of care
Hospital quality

Keywords

  • Hospital
  • Instrumental variables
  • Mortality
  • Quality

ASJC Scopus subject areas

  • Economics and Econometrics

Cite this

Estimating the quality of care in hospitals using instrumental variables. / Gowrisankaran, Gautam; Town, Robert J.

In: Journal of Health Economics, Vol. 18, No. 6, 12.1999, p. 747-767.

Research output: Contribution to journalArticle

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