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Does neighbours' grass matter? Testing spatial dependent heterogeneity in technical efficiency of Italian hospitals

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  • Cavalieri, Marina
  • Di Caro, Paolo
  • Guccio, Calogero
  • Lisi, Domenico

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 effects 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.

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  • Cavalieri, Marina & Di Caro, Paolo & Guccio, Calogero & Lisi, Domenico, 2020. "Does neighbours' grass matter? Testing spatial dependent heterogeneity in technical efficiency of Italian hospitals," Social Science & Medicine, Elsevier, vol. 265(C).
  • Handle: RePEc:eee:socmed:v:265:y:2020:i:c:s0277953620307255
    DOI: 10.1016/j.socscimed.2020.113506
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    Cited by:

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    3. Bao Hoang Nguyen & Zhichao Wang & Valentin Zelenyuk, 2023. "Efficiency of Queensland Public Hospitals via Spatial Panel Stochastic Frontier Models," CEPA Working Papers Series WP102023, School of Economics, University of Queensland, Australia.
    4. Guccio, Calogero & Pignataro, Giacomo & Romeo, Domenica & Vidoli, Francesco, 2024. "Is austerity good for efficiency, at least? A counterfactual assessment for the Italian NHS," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).

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    More about this item

    Keywords

    Hospital technical efficiency; Regional effects; Spatial stochastic frontier;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis

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