Consumer Behavior Analysis

This project focused on analyzing consumer behavior trends over time using U.S. economic data. By applying advanced time series models, I examined the relationship between Personal Consumption Expenditures (PCE) and disposable income from 2014 to 2024. The goal was to understand how past spending and income patterns influence future consumer behavior.

Tools & Skills Used:
-RStudio
-Time Series Analysis
-ADF Test (Stationarity)
-Ljung-Box Test (Autocorrelation)
-AR, VAR, VECM Models
-GARCH Modeling
-Data Transformation (Differencing)
-Econometric Modeling