EC-H450 Honors Applied Econometrics
This course begins with a brief review of statistical methods, including probability theory, estimation, and hypothesis testing. This background is used in the construction, estimation, and testing of econometric models. The consequences of a misspecified model, where the assumptions of a classical regression model are violated, are studied and the appropriate remedial measures are suggested. Other topics include dummy variables, binary choice models, and autoregressive models. Emphasis is on applied aspects of econometric modeling. There is extensive use of statistical software for data analyses. Prerequisites: GPA of at least 3.3 or Honors status,
STATS-250 or
STATS-240 or
MATH-255 or permission of instructor.