merylxue/consumer_choice_code

Python code for "Qi Feng, J. George Shanthikumar, Mengying Sue, Consumer choice models and estimation: A review and extension, Production and Operations Management, 2022, 31(2): 847-867."

Opertional Data Analytics

Electronic companion of the paper: "Consumer Choice Models and Estimation: A Review and Extensions" by

• Qi Feng: Mitchell E.Daniels, Jr. School of Management, Purdue University, [email protected]
• J.George Shanthikumar: Mitchell E.Daniels, Jr. School of Management, Purdue University [email protected]
• Mengying Xue: International Institute of Finance, School of Management, University of Science and Technology of China, [email protected]

This code was tested on:

• Mac OSX 14.5
• Python v3.7, v3.8

This project is designed based on the code from "A Comparative Empirical Study of Discrete Choice Models in Retail Operations" by Gerardo Berbeglia, Agusti­n Garassino, Gustavo Vulcano, GitHub - ajgara/choice-models: Python package to work with Discrete Choice Models. The "Origin_README.md"is the documentation for their code.

Instructions

Run

$ python Simulation_data_generate.py

to generate synthetic data for numerical experiments.

Run

$ python estimate_ODA.py

to test on the Operational Data Analyatics (ODA) method.