### Course Details

 Title INTRODUCTION TO ECONOMETRICS Field of Study Economics Professor Jong-Min Kim (kjonomi@gmail.com) Type Academic course Delivery Type Online Track (100% online course): Pre-recorded Credits 3 Contact hours 45 Schedule N/A Recorded Course code ECO1020 Course number 18038 Description First, this course will cover the statistical concepts for econometric analysis such as single (multiple) regression analysis, ordinary least squares (OLS), Logit and Probit Models and violations of standard assumptions such as heteroskedasticity and multicollinearity. Second, this course will introduce the basic models for time series analysis such as stationary and nonstationary time series, analysis of trends using regression methods, ARIMA, model specification, transformations, parameter estimation, model diagnostics, forecasting, Seasonal ARIMA time series models, and GARCH models. Objective The objective of this course is to introduce basic concepts and theory of econometric analysis with practical applications, mainly stock financial data. Preparations Basic College Algebra. Materials: Regular Calculator needed. Textbook: Damodar Gujarati, Econometrics by Example, 2nd Edition, Palgrave Macmillan (2014). (Optional) Materials Evaluation Assignment 10% Attendance 10% Final 20% Group Project 10% Midterm 20% Participation 10% Presentation 10 % Quiz 10% Lesson Plan Class 1: Chapter 1: The linear regression model: an overview Class 2: Chapter 2: Functional forms of regression models Class 3: Chapter 3: Qualitative explanatory variables regression models Class 4: Chapter 4: Regression diagnostic I: multicollinearity Class 5: Chapter 5: Regression diagnostic II: heteroscedasticity Class 6: Chapter 6: Regression diagnostic III: autocorrelation Class 7: Midterm Exam Class 8: Chapter 7: Regression diagnostic IV: model specification errors Class 9: Chapter 8: The logit and probit models Class 10: Chapter 10: Ordinal regression models Class 11: Chapter 12: Modeling count data: the Poisson and negative binomial regression models Class 12: Chapter 13: Stationary and nonstationary time series Class 13: Chapter 15: Asset price volatility: the ARCH and GARCH models Class 14: Chapter 16: Economics forecasting Class 15: Final Exam Last Updated April 16, 2021 Print