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ECO601 : Business Econometrics

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Course Info
Course Category	Economics
Course Level	Undergraduate
Credit Hours	3
Pre-requisites	N/A
Instructor	Dr. Sayyid Salman Rizavi PhD Economics.

Course Contents
Introduction to Econometrics Review of Basic concepts: Mathematical Tools Review of Basic concepts: Calculus Review of Basic Concepts: Probability The Simple Regression Model - I The Simple Regression Model - II The Simple Regression Model - III Multiple Regression Model - I Multiple Regression Model - II More functional forms in Regression Regression on standardized variables and results interpretation: Multiple Regression Model - III Further Issues in Regression Multicollinearity-I Multicollinearity-II Heteroskedasticity-I Heteroskedasticity-II Heteroskedasticity-III Autocorrelation-I Autocorrelation-II Autocorrelation-III Transformation of non-linear models Using Software for Econometrics-I Using Software for Econometrics-II Using Software for Econometrics-III Using Software for Econometrics-IV Using Software for Econometrics-V Regression Using STATA Simultaneous Equation Models-IA Simultaneous Equation Models-IB Simultaneous Equation Models-IC Simultaneous Equation Models-IIA Simultaneous Equation Models-IIB Simultaneous Equation Models-IIC Panel Data Methods-I Panel Data Methods-II Panel Data Methods-III Limited Dependent Variable Models-I Limited Dependent Variable Models-II Forecasting-I Forecasting-II Time Series Econometrics-I Time Series Econometrics-II Time Series Econometrics-III