15D019 Economic Methods for Data Science Project

By: Reid Falconer, Eric Beckwith, Felix Adam and Maryam Rahbaralam

Project Part 1: Demand Estimation and Industry Pattern Analysis

The data (Dominick's Dataset) and code in this repository allows users to replicate the results found in our report "When it Hurts: Demand Estimation in the Analgesics Market" which examines demand estimation and industry pattern analysis of the market for over the counter (OTC) analgesics using a nested logit model.

Project Part 2: AB-Testing: Hypotheses and Design

Furthermore, this repository holds our AB-Testing: Hypotheses and Design write-up for Totalwatchrepair.com.

Software and Packages required

• The code was written Python 3.6 and R version 3.5.0.

R

• tidyverse
• ggrepel

The user can run the following command to automatically install the R packages

install.packages(c('tidyverse', 'ggrepel'), dependencies = T)

Python

• NumPy
• Pandas
• seaborn
• SciPy
• scikit-learn
• math
• linearmodels
• statsmodels
• collections
• rpy2
• tzlocal