Using quantile regression to examine health care expenditures during the great recession

Jie Chen, Arturo Vargas-Bustamante, Karoline Mortensen, Stephen B. Thomas

Research output: Contribution to journalArticle

25 Scopus citations

Abstract

Objective To examine the association between the Great Recession of 2007-2009 and health care expenditures along the health care spending distribution, with a focus on racial/ethnic disparities. Data Sources/Study Setting Secondary data analyses of the Medical Expenditure Panel Survey (2005-2006 and 2008-2009). Study Design Quantile multivariate regressions are employed to measure the different associations between the economic recession of 2007-2009 and health care spending. Race/ethnicity and interaction terms between race/ethnicity and a recession indicator are controlled to examine whether minorities encountered disproportionately lower health spending during the economic recession. Principal Findings The Great Recession was significantly associated with reductions in health care expenditures at the 10th-50th percentiles of the distribution, but not at the 75th-90th percentiles. Racial and ethnic disparities were more substantial at the lower end of the health expenditure distribution; however, on average the reduction in expenditures was similar for all race/ethnic groups. The Great Recession was also positively associated with spending on emergency department visits. Conclusion This study shows that the relationship between the Great Recession and health care spending varied along the health expenditure distribution. More variability was observed in the lower end of the health spending distribution compared to the higher end.

Original languageEnglish (US)
Pages (from-to)705-730
Number of pages26
JournalHealth Services Research
Volume49
Issue number2
DOIs
StatePublished - Apr 2014
Externally publishedYes

Keywords

  • Health care expenditures
  • economic recession
  • quantile regression
  • racial and ethnic disparities

ASJC Scopus subject areas

  • Health Policy

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