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Material for a Bayesian statistics workshop
Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.
This project aims to conduct a random survey design for collecting responses regarding wine preferences of Italian consumers. Furthermore, it attempts to understand how preference share gets affected as we vary different attributes associated with wine with the use of a research method called Conjoint Analysis..
Evaluating the suitability of spatial adjacency for small-area estimation
QMSS MA Thesis - Intergenerational Childcare and Maternal Wages
Do laws like Tax on Case of Beer ($), Mandatory Jail Sentence, Mandatory Community Service, Minimum Legal Drinking Age affect number of vehicle fatalities in the United States of America? Various hypothesis are tested and found some surprising results.
As part of this project, we have used Regression Analysis on top of a panel data on Guns in USA to determine the "Effect of Shall-Carry Law on Violence Rate and Incarceration Rate in United States".
Analysis on how drunk driving laws affect traffic deaths
Time Series, Panel Data, RShiny, Machine Learning & Deep Learning Assignments and projects using R
Cluster-specific logistic regression models for whether an NBA team will make the playoffs given the current statistics of that team. Specifically uses population averaged models (PA) based on generalized estimating equations (GEE); Also, uses cluster-specific (each team) random effects models
Investigating the importance of state drinking laws, prevailing economic conditions and demographic factors on motor vehicle fatality rate between 1982 and 1988
simulation study into whether fixed/random effects account for unmeasured confounding
Applied Econometrics Project, Analysis conducted with R
Testing models from the GPBoost package against regular gradient boosting.
Stata and R programs to automatically quasi-demean regressors following FGLS-RE or MLE-RE regression
Complex comparative experiments (MAT 458)
Building and deploying a model that could crunch down the financial record data of companies to predict their market cap. Built up a model and selected essential feature variables on a custom dataset.