| 1. | |
계량_1주(1) | Chapter 1 : Intraduction and Motivarion |  |
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계량_1주(2) | Chapter 2 : Simple Linear regression Model /Many parts in this chapter are related with the last couple of chapters of ecomonics statistics | |
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| 2. | |
계량_2주 | 전 차시 복습 | |
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계량_2주(복사본) | 전 차시 복습 | |
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| 3. | |
계량_3주(1) | 전 차시 복습, Chapter 3 : Interval Estimation and Hypothesis Thesting in a Linear Regressin Model (stat. review) | |
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계량_3주(2) | 전 차시 복습, Chapter 4 : Goodness of fit(model specifications), and some modeling Issues | |
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| 4. | |
계량_4주(1) | Chapter 4 : Goodness of fit(model specifications), and some modeling Issues | |
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계량_4주(2) | 전 차시 복습, Chapter 5 : Multiple regressions | |
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| 5. | |
계량_5주 | 전 차시 복습, Chapter 6 : Further Inference in Multiple Regression Model Hypothesis testing and Model specification | |
| 6. | |
계량_6주(1) | Chapter 6 : Further Inference in Multiple Regression Model | |
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계량_6주(2) | Chapter 7 : Nonlinear relations /In this chapter, we introduce some nonlinear models. | |
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| 7. | |
계량_7주(1) | 중간시험 공지, Chapter 8 : Heteroskedasticity(Unequal Variance) |
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계량_7주(2) | Chapter 8 : Heteroskedasticity(Unequal Variance) | |
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| 8. | |
계량_8주 | 중간시험 공지와 Review | |
| 9. | |
계량_9주 | Chapter 9 : Dynamic Models, Autocorrelation, and Forecasting /In this section, we consider correlations of errors between the two different time point, denoted as autocorrelation | |
| 10. | |
계량_10주(1) | 중간시험 채점기준, Chapter 9 : Dynamic Models, Autocorrelation, and Forecastin | |
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계량_10주(2) | 전 차시 복습, Chapter 10: Introduction to Time series | |
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| 11. | |
계량_11주(1) | Chapter 10: Introduction to Time series | |
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계량_11주(2) | Chapter 10: Introduction to Time series | |
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| 12. | |
계량_12주(1) | 전 차시 복습, Chapter 11: Endogeneity and Instrumental Variables Estimation | |
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계량_12주(2) | Chapter 11: Endogeneity and Instrumental Variables Estimation | |
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| 13. | |
계량_13주(1) | 전 차시 복습, Chapter 11: Endogeneity and Instrumental Variables Estimation Chapter 12 : Volatility ARCH(AutoRegressive Conditional Heteroskedasticity) Models | |
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계량_13주(2) | Chapter 12 : Volatility ARCH(AutoRegressive Conditional Heteroskedasticity) Models | |
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| 14. | |
계량_14주(1) | 전 차시 복습, Chapter 13 : Multiple time series and AR(Vector Autoregression)models /In this chapter, we study a model for multipe time series variable | |
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계량_14주(2) | Chapter 13 : Multiple time series and AR(Vector | |
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| 15. | |
계량_15주(1) | Chapter 14 : Regression with Panel data | |
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계량_15주(2) | Chapter 14 : Regression with Panel data Chapter 15 : Models with discrete choice variables /we consider a model where dependent variable take discrete values. | |
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계량_16주 | 기말 시험 범위 Review | |
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