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Modelling waiting times in the Italian National Health Service

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  • Monica Auteri
  • Antonello Maruotti

Abstract

Understanding health-care utilization is important to design efficient and effective health-care systems. Towards this end, we propose a relatively simple and intuitively appealing microeconometric framework based on a two-part model to investigate the determinants that increase the probability and the length of waiting for a health-care service provision. This article attempts to accommodate all data features in one model focusing on overdispersion in the data due to unobserved heterogeneity and zero-inflation, with an application to the Italian National Health System.

Suggested Citation

  • Monica Auteri & Antonello Maruotti, 2012. "Modelling waiting times in the Italian National Health Service," Applied Economics Letters, Taylor & Francis Journals, vol. 19(5), pages 459-465, March.
    • Handle: RePEc:taf:apeclt:v:19:y:2012:i:5:p:459-465
    DOI: 10.1080/13504851.2011.583210
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    References listed on IDEAS

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    Cited by:

    1. Antonello Maruotti & Valentina Raponi, 2012. "On Baseline Conditions For Zero-Inflated Longitudinal Count Data," Working Papers 0212, CREI Università degli Studi Roma Tre, revised 2012.
    2. Joana Cima & Paulo Guimarães & Álvaro Almeida, 2018. "Explaining the gender gap in waiting times for scheduled surgery in the Portuguese National Health Service," FEP Working Papers 607, Universidade do Porto, Faculdade de Economia do Porto.

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