Balanced panel data
Posted: Fri Apr 13, 2012 4:34 am
Hello,
I have some basic knowledge of Eviews, but for my next project I'm facing some problems. I have been reading the user guides I could find, but still some unresolved questions remain.
Let me briefly explain the purpose of my project:
I have to test whether some kind of theory (the pecking order theory) is correct.
I have data for 220 companies, for 15 years and 6 variables (deltaDebt, deltaMTB, DEF, PPE, deltalogsales, profitability)
The regressionmodel(s) I want to test are (approximately) :
DeltaDebt = a + bDEF + e
DeltaDebt = a + bDEF + cPPE + ddeltaMTB + edeltalogsales + fprofitability + e
The purpose of my project is that I test whether these regressions 'are true' for every year separately, and over the 15 years together.
For every year separately I work with an excel file, with a tab for every year. And I estimate both equations (LS) for each year.
The problem is I don't really know how I can make an estimation over the 15 years together this way.
Recently I have noticed I'm actually dealing with 'balanced panel data'. So I have made a new excel file with 220 cross-sections (companies) stacked on top of each other. I believe this might be the solution to my problem, but I don't really know how to approach the analysis correctly. I have been reading about 'fixed effects', but I don't really understand what this means.
I don't know if this is very clear to you, but if you have any further questions necessary to answer this question, please ask. And if it is clear, Is there someone who knows a solution to my problem? Or who can briefly explain what my possibilities are with balanced panel data?
Thank you very very much!!
I have some basic knowledge of Eviews, but for my next project I'm facing some problems. I have been reading the user guides I could find, but still some unresolved questions remain.
Let me briefly explain the purpose of my project:
I have to test whether some kind of theory (the pecking order theory) is correct.
I have data for 220 companies, for 15 years and 6 variables (deltaDebt, deltaMTB, DEF, PPE, deltalogsales, profitability)
The regressionmodel(s) I want to test are (approximately) :
DeltaDebt = a + bDEF + e
DeltaDebt = a + bDEF + cPPE + ddeltaMTB + edeltalogsales + fprofitability + e
The purpose of my project is that I test whether these regressions 'are true' for every year separately, and over the 15 years together.
For every year separately I work with an excel file, with a tab for every year. And I estimate both equations (LS) for each year.
The problem is I don't really know how I can make an estimation over the 15 years together this way.
Recently I have noticed I'm actually dealing with 'balanced panel data'. So I have made a new excel file with 220 cross-sections (companies) stacked on top of each other. I believe this might be the solution to my problem, but I don't really know how to approach the analysis correctly. I have been reading about 'fixed effects', but I don't really understand what this means.
I don't know if this is very clear to you, but if you have any further questions necessary to answer this question, please ask. And if it is clear, Is there someone who knows a solution to my problem? Or who can briefly explain what my possibilities are with balanced panel data?
Thank you very very much!!