ProjectsUndergraduate ProjectsAn Empirical Study of Monetary Policy on Wyoming State (UCSD ECON 112) In this project, we tried to identify if there was a causal relationship between monetary policy on various economic activity indicators. We started from a time-series dataset with the Federal Funds Rate, unemployment rate and real GDP growth rate of Wyoming State, and used vector autoregression and analysing impulse response functions to determine the degree of causality between the above variables. To perform our we utilized R codes to perform time-series metrics, including but not limited to data visualization, plotting time-series graphs, impulse response functions, implementing various time-series models (Moving averages and autoregressive models), and vector autoregression. US Total Wealth Prediction (UCSD ECON 178) I was provided with a large dataset with over 7000 observations containing 17 variables that serve as predictors of total wealth, I utilized R programming to come up with 5 statistical learning models to predict the total wealth of each US individual. The models include OLS, Ridge regression, Lasso regression, polynomial regression, forward and backward stepwise selection and used techniques such as cross validation (both regular and K-folds CV) to compare predictability of the models |