The course is designed to provide students with hands-on experience in applying econometric theory learned in an introductory econometrics course to empirical analyses. Empirical methods include linear and non-linear regressions with cross-sectional, panel, and time-series data, linear probability models, and limited dependent variable models.
Athena Title
Applied Econometrics
Prerequisite
(AAEC 6610 or ECON 8080) and AAEC 6580-6580L
Semester Course Offered
Offered spring
Grading System
A - F (Traditional)
Student learning Outcomes
Students will analyze econometric data using OLS, IV/2SLS, panel data, limited dependent variable models, and time-series techniques, and justify model selection based on economic theory, diagnostics, and data structure.
Students will evaluate key model assumptions, including heteroskedasticity, serial correlation, stationarity, and endogeneity, and defend conclusions using appropriate statistical tests and robustness checks.
Students will implement empirical analyses in econometric software programs (e.g., Stata, SAS) to estimate, interpret, and critically evaluate results from linear and non-linear econometric models.
Students will interpret, communicate, and document econometric findings through clear written explanations, well-structured tables and figures, and code output.
Students will execute applied econometric exercises (e.g., homework or lab project) by organizing data, synthesizing results, and producing reproducible code and analysis.
Topical Outline
Review of OLS, Inference, and Dummy Variables
Instrumental Variables and Two-Stage Least Squares
Simultaneous Equations Models
Heteroskedasticity
Time Series and Serial Correlation
Trend, Unit Root, and Cointegration
Volatility Modeling
Forecasting
Panel Data
Linear Probability Model, Probit, and Logit Models
