Econometrics · Economics
Fundamentals of econometric modeling: OLS, diff-in-diff, etc. Quasi-experimental designs. Model interpretation and causal identification.
Basic principles of econometrics and how to analyze data with linear regressions
I learned a tremendous amount in this class. I came in, not having much of a background in Econ, and felt as though I was able to build a solid foundation for this area of study.
To analyze and understand data and use STATA.
I learned how to use Stata for regressions. I learned more about statistics and applying it to actual economic data.
Many regression models (LPM, non-linear, Instrumental Variable and Time Series) and Stata, as well as how to interpret regression results, and how to think about setting parameters and selecting variables for regressions which was actually pretty cool.
A myriad of different regressions and statistical approaches to analyze data
Regression analysis, interpreting what variables affect outcomes such as test scores, hypothesis testing very important, derivations very important. Different methods of running regression. OLS simple and multiple regression, LPM, probit, logit, and a few others. Measures of fit, r sqd, adjusted r sqd. Know all that stuff well.
so much! basically how to read an economic paper and actually understand research methods
How to conduct different types of regressions on Stata and then interpret them