This course extends your knowledge of econometrics beyond the multiple linear regression models you learned in Econometrics 1. This course is the second class on basic applied econometrics. The objective of this course is to estimate causal effect using econometric models. You will learn how to implement and interpret the results using linear regression and non-linear regression models using actual data. These topics include randomized experiments, fixed-effects models, instrumental variables models, regression discontinuity models. The emphasis behind these models is causal inference and research design. You should also be able to use these various models to analyze data, and critically assess studies using these models. You should be able to articulate why a model may give misleading results, and what to do about such a problem. Understanding and being able to explain the key concepts is an important part of this course. This course is dual-listed with ECO 481.