Correcting for Missing Discrete Responses in Business Surveys
نویسنده
چکیده
Businesses often need an accurate profile of their customers in order to better serve them, improve products and make advertising more effective. Unfortunately, customers do not always completely fill out the survey forms, especially those product registration cards. The forms often have multiple choice questions and customers may leave some questions blank. This paper presents a maximum likelihood method of correcting for the biased sample selection that occurs when the dependent variable is an incomplete categorical response where the data are not missing at random. The paper includes a test of the missing-at-random hypothesis.
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