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Bayesian and classical estimation of mixed logit: An application to genetic testing

机译:贝叶斯和经典混合logit估计:在基因测试中的应用

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摘要

Discrete choice experiments (DCEs) in health economics have recently used the mixed logit (MXL) model to incorporate preference heterogeneity. These studies typically use a classical approach to estimation or have specified normal distributions for the attributes. Specifying normal distributions can lead to erroneous interpretation; non-normal distributions may cause problems with convergence to the global maximum of the simulated log-likelihood function. Hierarchical Bayes (HB) of MXL is an alternative estimation approach that may alleviate problems of convergence. We investigated Bayesian and classical approaches to MXL estimation using a DCE that elicited preferences for a genetic technology. The classical approach produced unrealistic results in one of the econometric specifications, which led to an erroneous willingness to pay estimate. The HB procedure produced reasonable results for both specifications and helped ascertain that the classical procedures were converging at a local maximum.
机译:卫生经济学中的离散选择实验(DCE)最近使用了混合logit(MXL)模型来整合偏好异质性。这些研究通常使用经典方法进行估计,或者具有指定的属性正态分布。指定正态分布会导致错误的解释;非正态分布可能会导致收敛到模拟对数似然函数的全局最大值的问题。 MXL的层次贝叶斯(HB)是一种替代的估计方法,可以缓解收敛问题。我们调查了使用DCE引起遗传技术偏好的贝叶斯和经典方法进行MXL估计。经典方法在一种计量经济学规范中产生了不切实际的结果,从而导致了错误的支付估算的意愿。 HB程序对于这两个规范均产生了合理的结果,并有助于确定经典程序在局部最大值处收敛。

著录项

  • 来源
    《Journal of health economics》 |2009年第3期|598-610|共13页
  • 作者单位

    National Perinatal Epidemiology Unit, University of Oxford, Old Road Campus, Oxford, England OX3 7LF, United Kingdom;

    Health Economics Research Unit, University of Aberdeen, Polwarth Building, Foresterhill, Aberdeen, Scotland AB25 2ZD, United Kingdom;

    University of Aberdeen Business School, Edward Wright Building, Dunbar Street, Old Aberdeen, Scotland AB24 3QY, United Kingdom;

    Centre for Health Evaluation and Outcome Sciences, University of British Columbia, St Paul's Hospital, 620B 1081 Burrard Street, Vancouver, British Columbia, Canada;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    genetic testing; discrete choice experiments; hierarchical bayes; maximum simulated likelihood estimation;

    机译:基因检测;离散选择实验;分级贝叶斯;最大模拟似然估计;

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