COUNT MODEL USING PANEL DATA
Posted: Thu Mar 05, 2009 12:20 am
Hi everybody!
I'm Wan Fairos from Malaysia. Currently, I am in the midst of doing my Phd and my thesis deal with a balance panel data focussing on modelling the non linear count model. I plan to used E-views 6 to analyze the data. As I am dealing with road accident death count data type (the non-negative integer value nature of data), the type of model that will be employed in my thesis is the nonlinear count model that involved exponential family distribution such as the Poisson Regression/Negative Binomial /Quasi Max.Likelh Model. I might overlooked, but as I go through the EViews user guide, the estimation procedure to develop the Poisson/NB/QML model available only for individual time series or individual cross section data. When I looked into the Pooled Time series and Cross Section data chapters, the procedure to estimate the pooled model available only for methods based on linear assumptions.
Thus, my questions are;
1) Using the pooled time series and cross section data, (panel count data), can the Fixed Effects (FE) and Random Effects (RE) of Panel Poisson or Negative Binomial Model developed by Hausman et.al (1984) be analyze using EViews 6?
2) Can Eviews 6 estimate the parameter models of FE and RE of Panel Poisson/NB model using the maximum likelihood of the conditional joint distribution?
I would very much appreciate for any answers and feedbacks regards to my questions.
Thank you.
Regards,
Wan Fairos
I'm Wan Fairos from Malaysia. Currently, I am in the midst of doing my Phd and my thesis deal with a balance panel data focussing on modelling the non linear count model. I plan to used E-views 6 to analyze the data. As I am dealing with road accident death count data type (the non-negative integer value nature of data), the type of model that will be employed in my thesis is the nonlinear count model that involved exponential family distribution such as the Poisson Regression/Negative Binomial /Quasi Max.Likelh Model. I might overlooked, but as I go through the EViews user guide, the estimation procedure to develop the Poisson/NB/QML model available only for individual time series or individual cross section data. When I looked into the Pooled Time series and Cross Section data chapters, the procedure to estimate the pooled model available only for methods based on linear assumptions.
Thus, my questions are;
1) Using the pooled time series and cross section data, (panel count data), can the Fixed Effects (FE) and Random Effects (RE) of Panel Poisson or Negative Binomial Model developed by Hausman et.al (1984) be analyze using EViews 6?
2) Can Eviews 6 estimate the parameter models of FE and RE of Panel Poisson/NB model using the maximum likelihood of the conditional joint distribution?
I would very much appreciate for any answers and feedbacks regards to my questions.
Thank you.
Regards,
Wan Fairos