B BECON 382 - Introduction to Econometrics

Course description:

Econometrics is the application of statistical techniques to evaluate economic relationships. This course introduces you to the fundamentals of econometrics theory, and the use of statistical tools to analyze data and quantify causal effects. It combines theory with hands-on experience of estimating econometric models with statistical software; it emphasizes empirical applications to data and real-world problems to inform business decisions. Many of the assignments, as well as the empirical project, require using statistical software Stata or R. Watson Analytics and Tableau will also be used for data visualization. Your will acquire a set of useful skills that are in high demand in the era of “big data” and business analytics.

 

The course covers three modules:

1. Estimation and inference of linear and non-linear regression models;

2. Model specification, heteroskedasticity, serial correlation, multicollinearity, omitted variable bias, and endogeneity; 

3. Advanced topics: panel data, binary dependent variable, instrumental variable, difference-in-difference, and propensity score matching. 

 

Course materials:

Required: Introduction to Econometrics, by J.H. Stock and M.W. Watson, third edition, Pearson 2013. 

Optional: Introductory Econometrics, by J.M. Wooldridge, fifth edition, South-Western College Publishing 2012.  

 

Prerequisites:

Linear algebra, calculus, probability and statistics, B BECN 300 Quantitative Methods in Economics, B BUS 310 Managerial Economics. 

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Office of the Registrar

Instructor:

Xiahua (Anny) Wei 
Assistant Professor
UWBB-247
(425) 352-3233
xhwei@uw.edu

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