一、K元线性回归模型与一元线性回归模型的区别 二、关于模型的基本假设 三、k元线性回归模型的估计、检验和应用 四、理解OLSE的优良性质 五、比较OLS法与ML法的异同和适用性 六、如何综合评价经济计量建模的效果

第一节 两变量线性回归模型 第二节 参数估计 第三节 最小二乘估计量的性质 第四节 回归拟合度评价和决定系数 第五节 统计推断 第六节 预测

一、狭义的工具变IV) 二、间接最小二乘法(ILS) 三、二阶段最小二乘法(2SLS) 四、三种方法的等价性证明 五、简单宏观经济模型实例演示 六、主分量法的应用 七、其它有限信息估计方法简介 八、k级估计式

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Stationary Stochastic Process e A stochastic process is stationary if for every collection of time indices 11 e Thus, stationarity implies that the x,'s are dentically distributed and that the nature of any correlation between adjacent terms is

一、二元离散选择模型的经济背景 二、二元离散选择模型 三、二元 Probit离散选择模型及其参数估计 四、二元 Logit离散选择模型及其参数估计 五、二元离散选择模型的变量显著性检验

Why Use Instrumental Variables? e Instrumental Variables(IV)estimation is used when your model has endogenous xs That is, whenever Cov(x,l)≠0 Thus. i can be used to address the problem of omitted variable bias 2 Additionally iv can be used to solve the classic errors-in-variables problem Economics 20- Prof anderson

Choosing a Topic Start with a general area or set of questions Make sure you are interested in the topic Use on-line services such as EconLit to investigate past work on this topic Narrow down your topic to a specific question or issue to be investigated Work through the theoretical issue Economics 20-Prof. Anderson

Testing for Unit roots Consider an AR(1): y=a+p +e,t Let Ho: p=1, (assume there is a unit root) Define 0=p-1 and subtract y, from both sides to obtain Ay,=a+ B+e, Unfortunately, a simple t-test is inappropriate, since this is an I(1) process ADickey-Fuller Test uses the t-statistic, but different critical values Economics 20- Prof anderson

Binary dependent variables Recall the linear probability model, which can be written as P(=1x)=Bo+xB a drawback to the linear probability model is that predicted values are not constrained to be between 0 and An alternative is to model the proba、,s a function, G(Bo+xB), where 0