Search found 6 matches

by ssantic
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 ...
by ssantic
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!
by ssantic
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!
by ssantic
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...
by ssantic
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!
by ssantic
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...

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