A Probabilistic Model For Testing Hypothesized Hierarchical Market Structures
A Probabilistic Model For Testing Hypothesized Hierarchical Market Structures
复制标题
用于测试假设的分层市场结构的概率模型
DOI：
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发表时间：
1985
期刊：
影响因子：
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通讯作者：
W. Dillon
中科院分区：
文献类型：
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作者：
R. Grover;W. Dillon
本文推导并说明了一种层次化市场结构分析方法。开发了一个概率模型，该模型提供了一个通用的、灵活的框架，可以用来检验假设的分层市场结构。由于一般的概率模型可以转化为受限的潜在类模型，因此很容易实现。在其他好处中，拟议的方法利用面板数据，通过多个开关跟踪家庭，为替代假设的树结构以及个人参数提供明确的统计测试，并可能识别以类似方式构建市场的家庭集群。
In this paper a methodology for hierarchical market structure analysis is derived and illustrated. A probabilistic model is developed which provides a general, flexible framework which can be used to test hypothesized hierarchical market structures. Because the general probabilistic model can be translated in terms of a restricted latent class model it can be easily implemented. Among its other benefits, the proposed methodology, utilizing panel data, tracks households over a number of switches, furnishes explicit statistical tests for alternative hypothesized tree structures, as well as individual parameters, and can potentially identify clusters of households who structure the market in similar ways.