点击切换搜索课件文库搜索结果(724)
文档格式:PPT 文档大小:81.5KB 文档页数:12
Simultaneity Simultaneity is a specific type of endogeneity problem in which the explanatory variable is jointly determined with the dependent variable 2 As with other types of endogeneity, IV estimation can solve the problem o Some special issues to consider with simultaneous equations modelS(SEM) Economics 20- Prof anderson
文档格式:PPT 文档大小:104KB 文档页数:10
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
文档格式:PPT 文档大小:71.5KB 文档页数:12
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
文档格式:PPT 文档大小:113.5KB 文档页数:15
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
文档格式:PPT 文档大小:95KB 文档页数:10
A True panel vs a Pooled cross section Often loosely use the term panel data to refer to any data set that has both a cross sectional dimension and a time-series dimension More precisely it's only data following the same cross-section units over time Otherwise it's a pooled cross-section Economics 20- Prof anderson
文档格式:PPT 文档大小:77.5KB 文档页数:11
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
文档格式:PPT 文档大小:139KB 文档页数:20
Functional form e We' ve seen that a linear regression can really fit nonlinear relationships 2 Can use logs on RHS, LHS or both Can use quadratic forms ofx's Can use interactions ofx's e How do we know if we've gotten the right functional form for our model? Economics 20- Prof anderson
文档格式:PPT 文档大小:664KB 文档页数:96
一、序列相关性的概念——违反基本假设的定义及违反的原因 二、序列相关性的后果——违反基本假设会造成什么样的后果 三、序列相关性的检验——怎样诊断是否违反基本假设 四、具有序列相关性模型的估计——如何消除或减弱对基本假设的违反 五、案例
文档格式:PPT 文档大小:317.5KB 文档页数:29
一、一元线性回归模型的基本假设 二、参数的普通最小二乘估计(OLS) 三、参数估计的最大或然法(ML) 四、最小二乘估计量的性质 五、参数估计量的概率分布及随机干扰项方差的估计
文档格式:PPT 文档大小:141.5KB 文档页数:28
Parallels with Simple regression Bo is still the intercept B, to Bk all called slope parameters u is still the error term(or disturbance) Still need to make a zero conditional mean assumption, so now assume that E(lx,x2…,x)=0 Still minimizing the sum of squared residuals. so have k+l first order conditions Economics 20- Prof anderson
首页上页5253545556575859下页末页
热门关键字
搜索一下,找到相关课件或文库资源 724 个  
©2008-现在 cucdc.com 高等教育资讯网 版权所有