Arbeitspapier

Online reviews and hospital choice

Information problems in health care and the multifaceted nature of hospital quality complicate hospital choice. Online reviews provide an accessible, salient means through which researchers and health care decision-makers can gather information about a hospital's quality of care, and given their increasing popularity, these measures may affect hospital choice and may have implications for hospital prices. Using the universe of hospital Yelp reviews and inpatient claims data for elective procedures in Florida from 2012 through 2017, we exploit exogenous variation in online hospital ratings over time to identify the effect of online reviews on hospital choice. We find that among admissions for elective, inpatient procedures, patients are willing to travel between 5 and 30 percent further to receive care from a hospital with a higher Yelp rating, relative to other hospitals in the market. We also find evidence that higher ratings translate into higher commercial payments from insurers, albeit with relatively modest magnitudes. Our results indicate that novel, accessible sources of quality information have the potential to affect health care decisions, with potential downstream effects on health care prices.

Language
Englisch

Bibliographic citation
Series: EAG Discussion Paper ; No. EAG 22-1

Classification
Wirtschaft
Subject
quality disclosure
hospital choice
online reviews
hospital prices

Event
Geistige Schöpfung
(who)
McCarthy, Ian M.
Sanbower, Kaylyn R.
Sánchez Aragón, Leonardo
Event
Veröffentlichung
(who)
U.S. Department of Justice, Antitrust Division, Economic Analysis Group (EAG)
(where)
Washington, DC
(when)
2022

Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • McCarthy, Ian M.
  • Sanbower, Kaylyn R.
  • Sánchez Aragón, Leonardo
  • U.S. Department of Justice, Antitrust Division, Economic Analysis Group (EAG)

Time of origin

  • 2022

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