The course is designed toprovide students hands-on experience in the empirical application of econometric theory they learned in an introductory econometric courses with softwares. Many of the real world problems faced with the farms, agro-industries, state agencies requireusing econometric models that do not fit into the classical linear regression framework. For this purpose, this course gives students additional practical experience in estimating, reporting, and interpreting results with linear probability models, panel data, time series data, and heteroskedasticity.

Review of OLS, Inference, Dummy Variables, Linear Probability Model, Probitand Logit Models, Tobit Model, Instrumental Variables and Two-Stage Least Squares, Simultaneous Equation Models, Panel Data, Heteroskedasticity, Time Series and Serial Correlation, Trend, Unit Rote, and Cointegration, Volatility Modeling, Forecasting