The primary purpose of this book is to illustrate the model building process of econometric longitudinal and survival models using SAS/STAT, Python and R, incorporating economic variables, with a focus on business cases. The book emphasizes techniques that can be easily implemented, rather than delving into the granular detail of the underlying mathematics, and consequently will include:
Each step is explained with regards to both statistical theory and Base SAS, SAS/STAT and SAS/ETS programming but the Python and R code will be available to download. It addresses the development and application of longitudinal, data panel and survival analysis techniques to common scenarios faced by financial services, banks, insurance companies, marketing, and the telecommunications industry. These scenarios include the following:
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