When customers are classified into ordered categories, which are defined from the outset, it may happen that the majority belongs to a single category. If a market researcher is interested in the correlation between the classification and individual characteristics, the natural question is whether one needs to collect data for all customers in that particular category. We address this question for the ordered logit model. We show that there is no need to consider all those customers. All that is required is a simple modification of the log-likelihood, which is based on Bayes' rule. We illustrate our proposed method on simulated data and on data concerning risk profiles of customers of an investment bank.
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Paper provided by Erasmus University of Rotterdam - Econometric Institute in its series Papers with number
9933/a.
Find related papers by JEL classification: C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models
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Fidrmuc, J.P. & Roosenboom, P.G.J. & Dijk, D.J.C. van, 2007.
"When Do Managers Seek Private Equity Backing in Public-to-Private Transactions?,"
Research Paper
ERS-2007-028-F&A Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
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