ECO 3300 Applied Econometrics
Economists use data analysis to examine and understand the world. In this course, you will learn to apply advanced linear regression methods to answer real-world questions related to the practice of economics and business. Through an authentic course-based research project, you will gain valuable experience preparing data, applying appropriate methods, making logical inferences, and communicating the results of your research. In the process, you will develop important programming skills needed to carry out applied data analysis.
The course explores the problems that arise when estimating economic relationships and how these challenges affect statistical inference. Students will learn to identify appropriate methods for analyzing economic data, interpret the results of those analyses, and understand the limitations of different estimation methods. Topics include data transformation, measurement error, simultaneous equations, time series, panel data methods, policy analysis, and limited dependent variables.
Corequisite
at least one ECO course at the 3000 level.
Course Types
Society; Advanced Studies; Geographic Information Systems Elective
Course Outcomes
- (1) identify appropriate methods for analyzing economic data, interpret the results of those analyses, and understand the limitations of different estimation methods
- (2) communicate the results of their analysis in both written and oral form;
- (3) use STATA to clean and transform data, analyze the data, and develop well-specified models to estimate relationships between variables.