Search found 6 matches
- Wed Jun 19, 2013 1:00 pm
- Forum: Estimation
- Topic: Estimating second-lag PAC coefficients through regression
- Replies: 0
- Views: 2503
Estimating second-lag PAC coefficients through regression
Hi! Full disclosure: this is part of a homework, but only 1/4th of one of 5 excercises. So here goes: I have two AR(2) time series generated(both are in the attached datafile). Their specifications are: Xt = 0.2 - 0.6Xt-1 + 0.3Xt-2 + et Yt = 0.2 + 0.6Xt-1 - 0.3Xt-2 + et The text of the excercise is ...
- Tue Jun 18, 2013 5:56 am
- Forum: Econometric Discussions
- Topic: Monthly vs Annual Data
- Replies: 0
- Views: 2556
Monthly vs Annual Data
I have log data on monthly time series of average gross wages, for Jan 2002 till Aug 2008. I need to figure out the correct ARIMA(p,d,q) model for the annual growth rate of wages. Is there something I need to do, for example a data transformation, before I perform Box-Jenkins modeling?
Thanks!
Thanks!
- Tue Jun 18, 2013 3:17 am
- Forum: Estimation
- Topic: Outlier detection in Eviews 7?
- Replies: 9
- Views: 18125
Re: Outlier detection in Eviews 7?
Thank you!
- Tue Jun 18, 2013 12:11 am
- Forum: Estimation
- Topic: Outlier detection in Eviews 7?
- Replies: 9
- Views: 18125
Outlier detection in Eviews 7?
Hi everyone! I have an ARIMA (2,1,0) that, unfortunately, doesn't have a normal distribution. On the boxplot of the DX series I can see several outliers, which I would like to correct by using dummy variables. How can I see which months in the time series are the outliers? The boxplot doesn't show t...
- Mon Jun 17, 2013 11:37 pm
- Forum: Programming
- Topic: Generating time series data in EViews 7
- Replies: 3
- Views: 6019
Re: Generating time series data in EViews 7
Thanks! That solved it!
- Mon Jun 17, 2013 8:29 am
- Forum: Programming
- Topic: Generating time series data in EViews 7
- Replies: 3
- Views: 6019
Generating time series data in EViews 7
Hello! I need to randomly generate some time series data using EViews. They are as follows: 1) Xt = 0.2 - 0.6 Xt-1 + 0.3 Xt-2 + et Yt = 0.2 + 0.6 Yt-1 - 0.3 Yt-2 + et (sample size 400, the beginning values are to be set to zero, and et is N(0,1)) 2) A trend-stationary time series with the specificat...
