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.
Prerequisite
Student has satisfied all of the following Student has completed any of the following course(s) MATH 255 - Probability and Statistics, STATS 240 - Introduction to Statistics, STATS 250 - Applied Statistics And Student has satisfied all of the following Student has completed all of the following course(s) EC 350 - Data Anaytics for Economics and Business And Student has satisfied all of the following Student has satisfied all of the following Student has cumulative GPA greater than or equal to 3.300 Or Student has satisfied all of the following Student is a member of the Honors Summary All Student Cohort