MKTG525

041819

This course is designed to introduce students to the advance models of research in marketing decision making. Students are exposed to a variety of econometrics models including linear and nonlinear models; dichotomous, categorical, count models, panel regression, moderation and mixed models. Using appropriate marketing data, they will be able to select the most appropriate model to analyze the data and provide relevant results. Additionally, students will become familiarized with the statistical software Stata and how to apply its procedures for data cleaning, estimation, post-estimation, predictions, and info-graphs. Students will learn about casual inferences and experimental design (AB testing) and are given opportunities to combine what they have learned in previous statistics courses and the methods in this course to analyze data sets related to marketing research and decision making. The course offers development of skills to understand and choose the appropriate method to analyze data and communicate the findings effectively.

GRD - Regular Grades A, B, C, D, E

Graduate