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Choice of dialysis treatment and type of medical unit (private vs public): application of a recursive bivariate probit

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  • Lara Gitto
  • Domenico Santoro
  • Giuseppe Sobbrio

Abstract

ESRD patients have to deal with two choices: the first is related to the dialysis modality; the second concerns the type of dialysis unit (public vs private) where to undertake the treatment. Such a choice is related to unobservable factors, among which there might be patients' clinical factors as well as factors related to the characteristics of each unit. We employ a recursive bivariate probit estimation on a sample of ESRD Sicilian patients in order to evaluate the impact of these factors. Results can have important implications for Sicily in order to organize dialysis services: here, in fact, the number of private centres is higher than in other Italian Regions. Copyright © 2006 John Wiley & Sons, Ltd.

Suggested Citation

  • Lara Gitto & Domenico Santoro & Giuseppe Sobbrio, 2006. "Choice of dialysis treatment and type of medical unit (private vs public): application of a recursive bivariate probit," Health Economics, John Wiley & Sons, Ltd., vol. 15(11), pages 1251-1256, November.
    • Handle: RePEc:wly:hlthec:v:15:y:2006:i:11:p:1251-1256
    DOI: 10.1002/hec.1139
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    1. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    2. Hugo Benítez-Silva & Moshe Buchinsky & Hiu Man Chan & Sofia Cheidvasser & John Rust, 2004. "How large is the bias in self-reported disability?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(6), pages 649-670.
    3. Holly, Alberto & Gardiol, Lucien & Domenighetti, Gianfranco & Brigitte Bisig, 1998. "An econometric model of health care utilization and health insurance in Switzerland," European Economic Review, Elsevier, vol. 42(3-5), pages 513-522, May.
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