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Abstract

Spatial disparities in mortality can result from spatial differences in patientcharacteristics, treatments, hospital characteristics, and local healthcare marketstructure. To distinguish between these explanatory factors, we estimate a fexibleduration model on stays in hospital for a heart attack using a French exhaustivedataset. Over the 1998-2003 period, the raw disparities in the propensity to die within15 days between the extreme regions reaches 80%. It decreases to 47% after takinginto account the patients' characteristics and their treatments. We conduct a varianceanalysis to explain regional disparities in mortality. Whereas spatial variations in theuse of innovative treatments play the most important role, spatial differences in thelocal concentration of patients also play a significant role.

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Paper provided by Centre de Recherche en Economie et Statistique in its series Working Papers with number 2010-19.

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Length: 57
Date of creation: 2010
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Handle: RePEc:crs:wpaper:2010-19

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Find related papers by JEL classification:

• I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
• C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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Cited by:

1. MORIKAWA Masayuki, 2010. "Economies of Scale and Hospital Productivity: An empirical analysis of medical area level panel data," Discussion papers 10050, Research Institute of Economy, Trade and Industry (RIETI).

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