ECON 588

Econ 588

Demonstrate a familiarity with the properties and applications of several families of statistical distributions to econometric problems. Demonstrate an understanding of variations and generalizations of the basic regression model including Generalized least squares Generalized autoregressive conditional heteroskedasticity models Instrumental variables Seemingly unrelated regression models Panel data Hausman specification tests. Demonstrate an understanding of estimation frameworks in econometric models including Parametric, semiparametric, and non parametric specifications Maximum likelihood, M-, generalized method of moments, kernel, empirical likelihood, and extremum estimation. Formulate and estimate various nonlinear models. Identify and estimate autoregressive integrated moving average (ARIMA) models and obtain forecasts of economic variables. Demonstrate an understanding of dynamic (and static) structural econometric models including being able to discuss Reduced form, structural, and transfer function representations The identification problem Issues of estimation and statistical inference Vector autoregression models. Complete a research project in which they formulate a research question, apply appropriate methods to answer the question, and prepare a paper summarizing their results.