ECON 388

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Introduction to Econometrics

Economics College of Family, Home, and Social Sciences

Course Description

Theory and application of regression analysis using cross-sectional, time-series, and panel data, as well as instrumental variables and discrete-choice (probit/logit) models. Includes Stata coding and introductory matrix algebra.

When Taught

Contact Department

Min

3

Fixed/Max

3

Fixed

3

Fixed

0

Title

Econ 388 students will be able to

Learning Outcome

Demonstrate an understanding of the theoretical foundations of estimating and testing the basic regression model, employing tools from matrix algebra, calculus, and statistics. Perform basic regression and testing procedures using Stata.  Complete an empirical research project that includes the following elements:. Formulate an econometric model. Collect and prepare relevant data for use in estimating the model. Use appropriate methods of estimation. Test relevant behavioral hypotheses. Understand and test the Gauss-Markov assumptions. Analyze and interpret the estimated model. Prepare a written report summarizing the research results.