Course Details

ECON 329: Econometrics

This course is an introduction to the statistical methods used by economists to test hypotheses and to study and quantify economic relationships. The course emphasizes both econometric theory and practical application through analysis of economic data sets using statistical software. Prior experience with R is strongly encouraged. Topics include two-variable and multiple regression, interval estimation and hypothesis testing, discrete and continuous structural change, parameter restrictions, model construction, experimental design, issues of functional specification, model overfitting and underfitting, heteroscedasticity, autocorrelation, and multicollinearity. Prerequisite: Economics 110 and 111, Mathematics 111 and either Statistics 120 or Statistics 250 or instructor consent
6 credits; SI, QRE; Offered Fall 2020, Spring 2021; M. Kanazawa