A combination of economic theory, mathematics, and statistics for testing economic hypothesis and developing economic models. Conceptual development and applications. Prerequisites: EC 170, EC 171, and EC 172.
Dates: May 20 - June 28, 2019; Prereqs: EC 170, EC 171 and EC 172
This course is an introduction to the econometric analysis of economic data. We begin with a review of probability and statistics. The heart of the course is the study of regression analysis: linear and nonlinear models, of one and multiple variables, of panel data, instrumental variables, and of binary dependent variables. We conclude with an examination of experiments and quasi- experiments.
Students should expect to spend at least two hours per day on the class. Some course materials are posted online, but students must purchase a textbook and access to an online homework/study guide platform. Students must collect their own data and write a term paper using tools learned in the class.
Homework: 30%. Midterm: 20%. Final Exam: 20%. Term Paper: 30%.
Online Course (View Campus Map)