Added fixed effects and changed variables

Instrumental Variables Example

Mortality rates by census tracts in San Antonio, TX

Bayesian Model

We examine the relationship between having a bachelor's degree or higher in the state of Texas for individuals who where NOT born in the US. We fit two random intercept models, the second includes a group level variable of percentage of poverty in the county as a predictor. We then compare the fits of each model using a ratio test. Individuals with less number of years in the country that live in rural areas have less academic achievement.