ECON 1190 - APPLIED ECONOMETRICS 2: ADVANCED METHODS

Minimum Credits: 3
Maximum Credits: 3
Long Description This course teaches students hands-on skills in applied econometric research methods, with a focus on research design and approaches to establish empirical relationships of cause and effect. The course will cover advanced methods in regression analysis and the toolkit of quasi-experimental methods. Topics covered include omitted variable bias, fixed effects, instrumental variables, randomized control trials, difference-and-differences, and regression discontinuities. There is a strong focus on learning the basic tools of programming and coding (R, Python or STATA) though no prior knowledge of these programs is required.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: LG/SNC Elective Basis
Course Requirements: PREQ: ECON 1150 or Stat 1221 (min grade C)

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