316-205 Introductory Econometrics

Students may not gain credit for both 316-205 Introductory Econometrics and 316-316 Basic Econometrics.

316-130 Quantitative Methods 1 or 620-131 Scientific Programming and Simulation or 620-160 Experimental Design and Data Analysis.

Topics include review of statistics; F and χ² distributions; review of simple linear regression model; multiple linear regression model; hypothesis testing, forecasting, diagnostics with regression models (including heteroskedasticity, serial correlation and model specification). Examples drawn from economics, finance, accounting, marketing and management will be illustrated using EVIEWs.

• High level of development: written communication; collaborative learning; problem solving; team work; statistical reasoning; application of theory to practice; interpretation and analysis; critical thinking; synthesis of data and other information; use of computer software.

• Moderate level of development: oral communication; evaluation of data and other information; accessing data and other information from a range of sources; receptiveness to alternative ideas.

A 2-hour end-of-semester examination (80%) and assignments not exceeding 2000 words (20%).

To be advised.