Augmented Dickey Fuller group test

[yiannis86]

I am doing a project and i want to find if there exists convergence between house prices between different countries. So i am thinking to check for ADF test between the countries. I use log of prices, i made a group and then i check for unit roots using ADF (individual intercept). It is supposed that if the null hypothesis is rejected, then there is convergence. Shouldn't eviews give me t-statistics? Am i doing something wrong? The results i find are below. Does anyone have an idea of how to interpret this results (if they are making any sense)



Null Hypothesis: Unit root (individual unit root process)
Series: LNAUS, LNDEN, LNFIN, LNFR, LNND, LNNOR, LNSP, LNSWE,
LNSWIZZ, LNUK
Date: 07/28/11 Time: 12:38
Sample: 1996Q1 2011Q3
Exogenous variables: Individual effects
Automatic selection of maximum lags
Automatic lag length selection based on SIC: 0 to 10
Total number of observations: 538
Cross-sections included: 10

Method Statistic Prob.**
ADF - Fisher Chi-square 12.3228 0.9045
ADF - Choi Z-stat 2.97465 0.9985

** Probabilities for Fisher tests are computed using an asymptotic Chi
-square distribution. All other tests assume asymptotic normality.

Intermediate ADF test results ACTUAL_LOG


Series Prob. Lag Max Lag Obs
LNAUS 1.0000 1 10 57
LNDEN 0.8233 10 10 48
LNFIN 0.1363 1 10 57
LNFR 0.7170 6 10 52
LNND 0.7870 10 10 48
LNNOR 0.4385 5 10 53
LNSP 0.4231 2 10 56
LNSWE 0.4959 5 10 53
LNSWIZZ 1.0000 0 10 58
LNUK 0.3621 2 10 56
yiannis86

[vannguyen15]

I have the same question with "yiannis86". Could you give me the answer, please? Thank you very much