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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
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Fixed Effects estimation When there is an observed fixed effect. an alternative to first differences is fixed effects estimation Consider the average over time of y Bx1+…+Bxik+a1+l The average of a, will be ai so if you subtract the mean. a will be differenced out just as when doing first differences Economics 20- Prof anderson
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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
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西方国家盛行“ Occam's razor”原则,意思是 “简单优于复杂”的节约性原则。经济模型永远 无法完全把握现实,在建立模型中一定的抽象和 简化是不可避免的。 在研究进口与国内生产总值的关系时,考虑到时 间趋势,建立并估计了以下模型
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Testing for AR(IS eria Correlation Want to be able to test for whether the errors are serially correlated or not Want to test the null thatp=0 in u,=pu, 1 +et=2.. where u is the model error
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Time series vs Cross sectional e Time series data has a temporal ordering unlike cross-section data Will need to alter some of our assumptions to take into account that we no longer have a random sample of individuals Instead. we have one realization of a stochastic(i.e. random) process Economics 20- Prof anderson
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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
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一、异方差的实质和产生的原因 二、异方差产生的后果 三、异方差的检测方法 四、异方差的补救
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发展农业和建筑业会减少财政收入吗? 为了分析各主要因素对财政收入的影响,建立财政收 入模型: 其中: CS财政收入(亿元) ; NZ农业增加值(亿元); GZ工业增加值(亿元); JZZ建筑业增加值(亿元); TPOP总人口(万人);
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• 一、向量自回归模型定义 • 二、VAR的稳定性 • 三、VAR模型滞后期k的选择 • 四、VAR模型的脉冲响应函数和方差分解 • 五、格兰杰非因果性检验 • 六、VAR与协整 • 七、实例
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