COURSE DESCRIPTION
This course assumes that students have taken an introductory course in statistics. More advanced statistical theory will be developed during the course. It introduces some econometric models that are useful for analyzing cross-sectional, panel, and time series data. Emphasis will be on the application as well as theory of these models which will be illustrated with examples using reallife data. Topics covered include multiple linear regressions, binary outcome models, multinomial models, fixed and random effects models, and ARIMA models.

RECOMMENDED TEXTS
The course covers materials at the first year graduate level equivalent to  
Enders, W., Applied Econometric Time Series, (3rd Ed.), John Wiley & Sons (2010)  
Greene, W.H., Econometric Analysis 6th edition, Pearson Prentice-Hall, (2008)
Wooldridge, J. M., Introductory Econometrics: A Modern Approach, (6th Ed.) South-Western (2015)