계량경제학1

강의상세

계량경제학은 경제학과 통계학의 결합입니다. 강의에서는 경제 자료 분석을 위한 여러 통계적 방법을

소개합니다. 수업은 계량 경제 이론과 자료 분석 실습으로 구성됩니다.

1.		Simple Linear regression Model
2.		Interval Estimation and Hypothesis Testing in a Linear Regression Model
3.		Goodness of fit(model specifications), and some modeling Issues(1)
		Goodness of fit(model specifications), and some modeling Issues(2)
4.		Multiple Regression Model(1)
		Multiple Regression Model(2)
5.		Further Inference in Multiple Regression Model Hypothesis testing and Model specifcation
6.		Nonlinear Relationship(1)
		Nonlinear Relationship(2)
7.		Heteroskedasticity: Unequal Variance
8.		Dynamic Models, Autocorrelation, and Forecasting (1)
		Dynamic Models, Autocorrelation, and Forecasting (2)
9.		Introduction to Time Series
10.		Endogeneity and Instrumental Variables Estimation(1)
		Endogeneity and Instrumental Variables Estimation(2)
		Endogeneity and Instrumental Variables Estimation(3)
11.		Volatility ARCH Models
12.		Multiple time series and VAR models
13.		Regression with Panel data(1)
		Regression with Panel data(2)
14.		Models with discrete choice variables(1)
		Models with discrete choice variables(2)
15.		기말시험 review