Testing for spatial dependent heterogeneity in hospital technical efficiency is crucial for separating spatial issues from the effects of regional institutional factors. We apply the Spatial Stochastic Frontier Analysis for studying the presence of spatial dependence by using novel data on Italian hospitals. This approach provides both a robust estimation of hospital technical efficiency and a careful assessment of spatial and regional issues. We find empirical support for the idea that regional and institutional factors are more important than neighbouring ef-fects when looking at heterogeneity in hospital technical efficiency across Italy. The relevance of the regional organization of the Italian hospital system can justify our results. We also discuss the limitations of our analysis and provide sensitivity checks.
Does neighbours’ grass matter? Testing spatial dependent heterogeneity in technical efficiency of Italian hospitals
Cavalieri, Marina;Di Caro, Paolo;Guccio, Calogero
;Lisi, Domenico
2020-01-01
Abstract
Testing for spatial dependent heterogeneity in hospital technical efficiency is crucial for separating spatial issues from the effects of regional institutional factors. We apply the Spatial Stochastic Frontier Analysis for studying the presence of spatial dependence by using novel data on Italian hospitals. This approach provides both a robust estimation of hospital technical efficiency and a careful assessment of spatial and regional issues. We find empirical support for the idea that regional and institutional factors are more important than neighbouring ef-fects when looking at heterogeneity in hospital technical efficiency across Italy. The relevance of the regional organization of the Italian hospital system can justify our results. We also discuss the limitations of our analysis and provide sensitivity checks.File | Dimensione | Formato | |
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