University at Buffalo 3 credits Economics
This course extends the knowledge of econometrics beyond the multiple linear regression models 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. Students 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. Students should also be able to use these various models to analyze data, and critically assess studies using these models. Students 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 581. Pre-Requisite: ECO 480.
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