Hello to all Gretl users, i need help regarding to panel regression that i m running on the data of 49 companies over 5 years.. disclosure score have been assigned to each company is my dependent variable and i m seeing relation of this with diffrent variable like assets, debt to eqity ratio, working capital etc....
I have run a random effect model without dummies... following is the result of regression..

: Random-effects (GLS), using 245 observations

Included 49 cross-sectional units

Time-series length = 5

Dependent variable: Disclosurescore

 Coefficient Std. Error t-ratio p-value const 54.6399 2.44263 22.3693 <0.00001 *** Income 0.000300548 0.000284884 1.0550 0.29251 Assets 2.47402e-05 0.000143089 0.1729 0.86288 ROCE 0.339813 0.136887 2.4824 0.01374 ** RONW -0.305412 0.101727 -3.0023 0.00297 *** Debttoequityrat -2.91992e-05 0.000943001 -0.0310 0.97532 PBITNetofP_E_Av -0.275439 0.0929244 -2.9641 0.00335 *** Profitaftertax 0.000338873 0.00199357 0.1700 0.86517

 Mean dependent var 53.7654 S.D. dependent var 14.8543 Sum squared resid 48314.6 S.E. of regression 14.2479 Log-likelihood -994.958 Akaike criterion 2005.92 Schwarz criterion 2033.93 Hannan-Quinn 2017.2

'Within' variance = 60.0887

'Between' variance = 146.644

theta used for quasi-demeaning = 0.713727

Breusch-Pagan test -

Null hypothesis: Variance of the unit-specific error = 0

Asymptotic test statistic: Chi-square(1) = 193.78

with p-value = 4.75747e-044

Hausman test -

Null hypothesis: GLS estimates are consistent

Asymptotic test statistic: Chi-square(7) = 11.5898

with p-value = 0.114882

now i dont knw that whether i have to use interpret these beta coefficients as any other variable or else & whether to use dummy variable or not...
I m also attaching with ths mail my data file in gretl..
Plz anyone help ..