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Discrete choice models with response transformation : An application to beverage choice

机译:带有响应转换的离散选择模型:在饮料选择中的应用

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The paper studies various response transformation models for discrete choice and categorical data. These response transformation models are fitted to binary response data on beverage choice. Several models are compared, and the best model is selected using AICs and deviances. The transformations include extensions of the widely used Box-Cox transformation to Normality for continuous data to categorical data. The econometric techniques employed in the paper are widely applicable to the analysis of count, binary response, and duration types of data encountered in business and economics.
机译:本文研究了针对离散选择和分类数据的各种响应转换模型。这些响应转换模型适合饮料选择的二进制响应数据。比较了几种模型,并使用AIC和deviances选择了最佳模型。转换包括将广泛使用的Box-Cox转换扩展为Normality,以将连续数据转换为分类数据。本文采用的计量经济学技术可广泛应用于商业和经济学中对计数,二进制响应和数据持续时间类型的分析。

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