The goal of this course is to develop basic tools to understand and use modern econometric methods. We focus on estimating and making inference for causal effects with a special attention to policy relevant problems. Topics include randomized experiments, natural experiments, matching methods, instrumental variables, and regression discontinuity. We discuss theoretical aspects of these methods with detailed applications.
This course will cover key techniques in applied econometric research, with a focus on causal inference. Particular emphasis will be placed on questions related to policy and program evaluation. Techniques covered will include experiments, regression and matching, instrumental variables, difference-in-differences, synthetic control, regression-discontinuity, and analysis of high-dimensional data-sets. We will discuss the properties of each of these techniques and illustrate them using examples from health policy, education policy, workforce development programs, environmental and labor market regulations, and economic development programs. Students will gain experience applying the techniques to estimate the causal impacts of different policies using real-data sets. Students will finish the course by proposing their own program evaluation. 3 undergraduate hours
Prerequisites (Must be complete BEFORE taking this course):
ECON 102 (Microeconomic Principles)
ECON 103 (Macroeconomic Principles)
MATH 220 or MATH 221 (Calculus 1)
ECON 302 (Intermediate Microeconomic Theory)
Instructors Teaching the Course:
This course is taught by the below faculty ~ you may click on their name to view their website with additional information. Please check the Course Explorer or Enterprise/Self-Service to see what section they will be teaching (teaching schedules vary by semester).
Professor Alex Bartik
Professor EunYi Chung
Past Course Syllabi:
The following syllabi are from past semesters and should only be used as a guide for the information covered in the course and general structure of the course. The instructors have the right to change the course for upcoming semesters ~ please refer to the syllabus they distribute the first day of class.
Econ 490 Topics in Econometriacs EunYi Chung Past Syllabus
*We do not have a past syllabus for Professor Bartik ~ his course will not follow the same syllabus as Professor Chung
View the Course Explorer:
See when the course is offered in upcoming semesters and all the section details:
Fall 2017 Restrictions:
Click Here to see our restrictions page for more information on restrictions & overrides
Course restrictions are managed by the Econ Undergraduate Studies Office. Instructors do NOT have the ability to provide overrides.
Additional Course Information:
The below is helpful information from a discussion with Professor Chung regarding this course. Please keep in mind faculty may change the format of the course each semester, so it is important to follow the syllabus and guidelines for the semester you are taking the course (provided in class).
*This does not relate to Professor Alex Bartik's section (Fall 2017 will be his first semester teaching this course at Illinois)*
Is the class discussion or lecture based? How would you describe your teaching style?
The class is mostly lecture based but is very interactive.
In what ways are students evaluated/graded (tests -- multiple choice or essay?, papers, etc)?
There are problem sets.
3 tests: 2 midterms and 1 final
The tests are very mathematical based.
There is a final project that is optional for extra credit.
The students learned different computer programming from scratch such as “R”.
What careers will your course give students an advantage in?
Students are exposed to different statistical analysis and computer programming. These skills can be used for different jobs and graduate school. It is helpful if you want a job that deals with analysing data. It is helpful for students wanting to go to graduate school for economics or statistics.
What are some classes students can take before this to help prepare them for the material?
It is recommended to take 202/203 and Introduction to Econometric.
Would this be a good course to use for a graduate school application?
Yes. This course not only teaches students how to use different statistical tools, but teaches students the theory behind the tools also.
What is your background in Economics or the field you are teaching in?
Professor Eun Yi Chang has a Ph.D in Economics, focusing on econometrics, and has a master’s degree in statistics.
How would you consider the workload in comparison to other 400 Level Economics Courses?
It can be a heavy workload and can be difficult. Howver if students utilize class time, office hours, and thoroughly complete the problem sets they can do well in the course.
What is your attendance/participation policy?
No attendance policy but recommends coming to class.