Search found 22 matches
- Tue Oct 08, 2013 12:45 am
- Forum: Estimation
- Topic: Pooled Mean Group (PMG) Estimation
- Replies: 11
- Views: 21645
Re: Pooled Mean Group (PMG) Estimation
The possibility of running pooled mean group estimation in dynamic heterogeneous panels is a feature that I also wish that could be available in a future Eviews update.
- Wed Apr 11, 2012 11:30 am
- Forum: Estimation
- Topic: Cross-section SUR and Parks-Kmenta
- Replies: 3
- Views: 5517
Re: Cross-section SUR and Parks-Kmenta
Many thanks Glenn for the explanation. However, as I´m not an expert I'm still a litle bit confused. I found some references mentioning that the Parks-Kmenta method specifies a model for heteroskedasticity, a model for contemporaneous correlation, and also the following model for serial correlation ...
- Sat Apr 07, 2012 3:06 pm
- Forum: Estimation
- Topic: Cross-section SUR and Parks-Kmenta
- Replies: 3
- Views: 5517
Cross-section SUR and Parks-Kmenta
Hi, I have a doubt concerning the equivalence between the panel "Cross-section SUR" class of covariance structures and the Parks-Kmenta model. The Parks model specifies a model for heteroskedasticity, contemporaneous correlation, and serial correlation AR(1). I believe that in Eviews7 I ne...
- Wed Apr 04, 2012 2:59 am
- Forum: Econometric Discussions
- Topic: Lagged Dependent Variable with Fixed Effects (OLS)
- Replies: 7
- Views: 11409
Re: Lagged Dependent Variable with Fixed Effects (OLS)
Would it be correct to include a Lagged Dependent Variable in a Panel with Fixed Effects using LS with Cross section SUR Weights?
- Sun Apr 01, 2012 11:01 am
- Forum: Estimation
- Topic: log likelihood info pooled EGLS(cross section SUR)
- Replies: 13
- Views: 18655
Re: log likelihood info pooled EGLS(cross section SUR)
I have updated and the problem persists. I have compared the regression outputs of the pool with the panel and I suspect that there is a bug in the estimation of the log likelihood of the pool with cross section weights and fixed effects. Below you can find the comparison the results of the pool and...
- Sun Apr 01, 2012 9:39 am
- Forum: Estimation
- Topic: log likelihood info pooled EGLS(cross section SUR)
- Replies: 13
- Views: 18655
Re: log likelihood info pooled EGLS(cross section SUR)
Many thanks again.
It's Eviews version 7.1
Standard edition Nov 3 November 2010 build
I have no idea where the problem may lie...
It's Eviews version 7.1
Standard edition Nov 3 November 2010 build
I have no idea where the problem may lie...
- Sun Apr 01, 2012 9:15 am
- Forum: Estimation
- Topic: log likelihood info pooled EGLS(cross section SUR)
- Replies: 13
- Views: 18655
Re: log likelihood info pooled EGLS(cross section SUR)
The data is the same. less restrictive model results: Dependent Variable: LOG(LONG_RUN_COST?) Method: Pooled EGLS (Cross-section weights) Date: 04/01/12 Time: 18:03 Sample: 2014 2028 Included observations: 15 Cross-sections included: 11 Total pool (balanced) observations: 165 Iterate weights to conv...
- Sun Apr 01, 2012 8:43 am
- Forum: Estimation
- Topic: log likelihood info pooled EGLS(cross section SUR)
- Replies: 13
- Views: 18655
Re: log likelihood info pooled EGLS(cross section SUR)
I´ve checked with another pair of nested models and the problem persists. model 1 (more restricted) with log likelihood 247,5779 model 2 (less restricted) with log likelihood -234.3651 Thus apllying the likelihood ratio test: 2X(log likelihood(m2)-log likelihood(m1))= -963,886 Knowing that the likel...
- Sun Apr 01, 2012 2:27 am
- Forum: Estimation
- Topic: log likelihood info pooled EGLS(cross section SUR)
- Replies: 13
- Views: 18655
Re: log likelihood info pooled EGLS(cross section SUR)
Dear Glenn, Still one related issue for which I would much appreciate any help that you can provide. I got the log likelihood values of 2 models and used them to compare the models' hypothesis by means of a likelihood ratio test. The result of the ratio is negative, which is fine (-1381.81). Knowing...
- Sun Apr 01, 2012 1:42 am
- Forum: Estimation
- Topic: log likelihood info pooled EGLS(cross section SUR)
- Replies: 13
- Views: 18655
Re: log likelihood info pooled EGLS(cross section SUR)
Problem solved. Many thanks Glenn. I did not select the iterate box...
Miguel
Miguel
- Sat Mar 31, 2012 6:12 am
- Forum: Estimation
- Topic: log likelihood info pooled EGLS(cross section SUR)
- Replies: 13
- Views: 18655
log likelihood info pooled EGLS(cross section SUR)
Dear all, I'm estimating panel data models using the pool object because it returns the covariance matrix and the correlation matrix. However, I notice that the output does not included log likelihood when the estimation is done using cross section sur weights (only with pooled least squares). Is th...
- Mon May 30, 2011 2:10 am
- Forum: Estimation
- Topic: Testing for individual effects in panel data
- Replies: 4
- Views: 8042
Re: Testing for individual effects in panel data
Dear Gareth,
Would it be possible to post the answer/google link again (the link is not working).
Many thanks
Miguel
Would it be possible to post the answer/google link again (the link is not working).
Many thanks
Miguel
- Sun May 29, 2011 5:45 am
- Forum: Data Manipulation
- Topic: thousand separators - dated tables
- Replies: 1
- Views: 4113
thousand separators - dated tables
Hi, I have produced some dated tables from group objects. I want to have thousand separators in the cells but the although the option is selected (Options/general options/spreadsheets/thousand separator - checkbox selected) the thousand separators are not made. As I'm processing many tables this is ...
- Fri May 13, 2011 10:35 am
- Forum: Estimation
- Topic: Checking multicollinearity&heteroscedasticity for panel data
- Replies: 1
- Views: 4128
Re: Checking multicollinearity&heteroscedasticity for panel
I have the same doubt...
- Thu May 12, 2011 2:22 pm
- Forum: Estimation
- Topic: Panel data: model with variable coefficients
- Replies: 8
- Views: 10045
Re: Panel data: model with variable coefficients
By the way, if I want to specify a unrestricted model where the intercept and slope coefficients are allowed to vary across cross sections (individuals) then I will have: dependent variable, 11 dummies, 22 independent variables (11 dummies * independent variable 1 + 11 dummies multiplied by independ...
