【Announcement】Seminar talk by Dr. Yi-Chun Ou from the University of Leeds on 8/26(三)11:00
Sincerely invite you to join this event and please register from https://forms.gle/McQrXMUEhMX2Vxay8 before this Friday(8/21).
Abstract
Food delivery platforms
(e.g., Uber Eats, Foodpanda) provide additional channels for physical
restaurants. Consumers download apps to use food delivery platforms. The
physical restaurants thus have both offline and app channels to sell their
products. However, do these channels feed off or eat away each other? Does
feeding-off or eating-away vary across apps and restaurants? We have a dataset,
including 31 stores in China, which adopt three food delivery platforms. The
project is currently at the data analysis stage. We have spent more than four
months (almost full time) to find a proper model. My main responsibility in
this project is data analysis. I will share my learning journey of how to find
a proper model, including multilevel multiple-equation models with correlated
error terms, whether we should trust the coding of statistical software,
endogeneity, and serial correlation.