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

 53.76539

 

S.D. dependent var

 14.85426

Sum squared resid

 48314.62

 

S.E. of regression

 14.24790

Log-likelihood

-994.9583

 

Akaike criterion

 2005.917

Schwarz criterion

 2033.927

 

Hannan-Quinn

 2017.196

 

 

            '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 ..
Thanks in advance