There are three things one can do in this website - 1. Learn 2. Help Teach 3. Sign up MOOC. This is a semester-long graduate course in Econometrics. This course is intended for graduate students in economics-related fields and more generally in social sciences. The course includes an overview of the models and theory and applications using Stata, R, or SAS programs. This econometrics class covers about 15 of the most commonly used econometric models in economics, such as linear regression, panel data models, probit and logit models, limited dependent variable models, count data models, time series models, and many more.

There are three things one can do on this website - 1. Learn 2. Help Teach 3. Sign up for the MOOC.

This course introduces the main topics in Econometrics by using R statistical software. The relation of themes is comprehensive and includes the basic notions such as linear regression, multiple regression, causal inference, regression discontinuity and instrumental variable. In total, the course covers thirteen chapters that are common in any undergraduate econometrics course.

Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance.

This course describes Bayesian statistics in which one s inferences about parameters or hypotheses are updated as evidence accumulates You will learn to use Bayes rule to transform prior probabilities into posterior probabilities and be introduced to the underlying theory and perspective of the Bayesian paradigm The course will apply …