Style of practice and assortative mating: a recursive probit analysis of Caesarean section scheduling in Italy
AbstractWe study practice variation in scheduling of caesarean section (CS) delivery across public and private hospitals in Italy. Adopting a novel perspective, we look at the role played by patients' preferences for the treatment. The recursive probit model is revisited as a useful tool to assess the presence of assortative mating of patients and provider driven by style of practice. According to our evidence, the propensity to schedule a CS is codetermined with patient self-sorting into hospital types. We measure a significantly higher inclination to practice CS scheduling in private hospitals and conclude that assortative mating is of minor relevance in our case, even if we cannot exclude it to be present.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics.
Volume (Year): 40 (2008)
Issue (Month): 11 ()
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Other versions of this item:
- D. Fabbri & C. Monfardini, 2006. "Style of practice and assortative mating: a recursive probit analysis of cesarean section scheduling in Italy," Working Papers 557, Dipartimento Scienze Economiche, Universita' di Bologna.
- Daniele Fabbri & Chiara Monfardini, 2006. "Style of practice and assortative mating: a recursive probit analysis of cesarean section scheduling in Italy," CHILD Working Papers wp06_06, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
- I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
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