本人是EVIEWS小白,因为做论文的缘故接触到回归分析及EVIEWS,现在遇到麻烦,还请各位前辈能给指导一下.
我的数据是个平衡长面板(BALANCED PANEL),三个国家46年.找到相关数据后,在考虑散点图和曲线拟和工具结果的基础上将回归模型设定为:Y?=C+a*log(x1?)+b*log(x1?)^2+c*log(x1?)^3+d*log(x3?)
按照一面面板数据的操作方式,我先进行了单位根检验,检验通过证明没有单位根,数据平稳.接下来就是模型形式的选择了,先通过EVIEWS自带的Redundant Fixed Effects - Likelihood Ratio在混合模型和固定效应模型间选择, 结果支持使用固定效应.但是在接下来做 Hausman Test for Correlated Random Effects 的时候遇到了麻烦, EVIEWS要求在做这个检验时将Estimation Method设置为Random的,但是我按照这个设置之后, 系统提示如下
"Random effect estimation requires number of cross section > number of coefs between estimator for estimate of RE innovation varaince" 这个提示的大概意思什么?是说截面数量要大于变量系数数量才能进行随机效应估计么? 我的方程形式是不能改变的,即使我舍弃X2?和X3?两个变量我的变量系数依然不小于截面数量啊. 有什么办法能够解决这个问题啊.
虽然现在的主流就是做固定效应,因为随机效应有诸多问题,而且有的教材,譬如说萧正的教材也提到了了这一点,但是我比较担心答辩的时候有***的会问怎么能确定就用固定效应而不用随机效应这样的问题.
另外,面板数据的异方差和序列相关怎么来检测啊, 看残差RESIDUAL的图么?
本人刚上论坛,米不多,但如果前辈们能给予帮助,仍愿倾囊相赠,聊表谢意!
最后结果:
我把遇到的问题发在EVIEWS的论坛上,EVIEWS的客服工程师回复说当截面数小于变量系数数量时,在EVIEWS下只能做固定效应模型的估计.现把提问和回复的内容贴上,供大家参考.
About Fixed/Random Testing
by Du Jianwei on Fri Oct 19, 2012 12:18 am
About Fixed/Random Testing
by Du Jianwei on Fri Oct 19, 2012 12:18 am
I am an Eviews 7 user and now I am doing a panel regression with this software. My data set includes 3 countries for 46 years(1963-2008). The form of my function is:
Y?=C+a*log(x1?)+b*log(x1?)^2+c*log(x1?)^3+d*log(x3?), the intercept "C" is expected to be cross section sepicfic.
My procedure goes like this:
Firstly, I run the "Unit root test". Since the result of this test shows that my data does not have a unit root, I turned to the next step of fixed/random effect model selection.Unfortunately, I encountered some problems in using the build-in function of Fixed/Random Testing.
There are two testing funcions for fixed/random selection,"Redundant Fixed Effects - Likelihood Ratio" and "Hausman Test for Correlated Random Effects", to perform the latter test, I need to estimate my model with random effects specification.But once I select the "random" choice in Estimation method, Eviwes refuses to run estimation and the following warning has been given: "Random effect estimation requires number of cross section > number of coefs between estimator for estimate of RE innovation varaince". How can I solve this problem?
Thanks
Du
Re: About Fixed/Random Testing
by EViews Glenn on Fri Oct 19, 2012 1:07 pm
You'll need to stick with the fixed effects estimator


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