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This course deals with the theory and applications of estimating a regression equation at the undergraduate level. It is the first in a two part series, and hence will be mostly theoretical with the applications reserved for the second course in the sequence. The course is aimed at providing the framework through which economic theory can be quantified with a certain degree of reliability. Dealing with degrees of reliability is inherently a statistical concept, and therefore prior knowledge of probability and statistics is of utmost importance. The Simple/Classical Linear Regression Model (CLRM) is the backbone of econometrics and is thus the main focus of this course. In analyzing the CLRM the foundations will be laid for testing economic theory’s qualitative and quantitative predictions. This foundation will ultimately serve as the launch pad for more rigorous treatment of econometric methods and applications.

This course is the second of two in Econometrics at the undergraduate level. It builds on foundations learned in ECON3049 by focusing on the practical application of econometric methods in solving econometric problems. It also extends the topics done in ECON3049 by introducing such topics as panel data analysis and modern time series methods.

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