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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.
Comment from our editors:
This is a cohesive compilation of major econometric models that are generally used in economics. The lectures are well structured and are of apt duration. Most importantly, there are videos on software usage. Also, the videos are based on scratch, one need not have prior knowledge of econometrics. One has to watch videos on Linear Regression and Introduction to Stata, R, or SAS if one does not have this background or if one needs a refresher. The course aims to develop the student's skill set of selecting appropriate data and estimate an econometric model to the said problem.