Hi,
I have applied a unitroot test on one of the variables in my panel data set. the results are as follows
Fisher-type unit-root test for T1CTRWA
Based on augmented Dickey-Fuller tests
--------------------------------------
Ho: All panels contain unit roots Number of panels = 3
Ha: At least one panel is stationary Avg. number of periods = 37.67
AR parameter: Panel-specific Asymptotics: T -> Infinity
Panel means: Included
Time trend: Not included
Drift term: Not included ADF regressions: 0 lags
------------------------------------------------------------------------------
Statistic p-value
------------------------------------------------------------------------------
Inverse chi-squared(6) P 6.9045 0.3298
Inverse normal Z -0.7830 0.2168
Inverse logit t(19) L* -0.7240 0.2389
Modified inv. chi-squared Pm 0.2611 0.3970
------------------------------------------------------------------------------
P statistic requires number of panels to be finite.
Other statistics are suitable for finite or infinite number of panels.
------------------------------------------------------------------------------
. xtunitroot fisher T1CTRWA, dfuller trend lags(0)
Fisher-type unit-root test for T1CTRWA
Based on augmented Dickey-Fuller tests
--------------------------------------
Ho: All panels contain unit roots Number of panels = 3
Ha: At least one panel is stationary Avg. number of periods = 37.67
AR parameter: Panel-specific Asymptotics: T -> Infinity
Panel means: Included
Time trend: Included
Drift term: Not included ADF regressions: 0 lags
------------------------------------------------------------------------------
Statistic p-value
------------------------------------------------------------------------------
Inverse chi-squared(6) P 19.1540 0.0039
Inverse normal Z -1.5559 0.0599
Inverse logit t(19) L* -2.3470 0.0150
Modified inv. chi-squared Pm 3.7972 0.0001
------------------------------------------------------------------------------
P statistic requires number of panels to be finite.
Other statistics are suitable for finite or infinite number of panels.
------------------------------------------------------------------------------
. xtunitroot fisher T1CTRWA, dfuller drift lags(0)
Fisher-type unit-root test for T1CTRWA
Based on augmented Dickey-Fuller tests
--------------------------------------
Ho: All panels contain unit roots Number of panels = 3
Ha: At least one panel is stationary Avg. number of periods = 37.67
AR parameter: Panel-specific Asymptotics: T -> Infinity
Panel means: Included
Time trend: Not included
Drift term: Included ADF regressions: 0 lags
------------------------------------------------------------------------------
Statistic p-value
------------------------------------------------------------------------------
Inverse chi-squared(6) P 20.5069 0.0022
Inverse normal Z -3.1759 0.0007
Inverse logit t(19) L* -3.3224 0.0018
Modified inv. chi-squared Pm 4.1878 0.0000
------------------------------------------------------------------------------
P statistic requires number of panels to be finite.
Other statistics are suitable for finite or infinite number of panels.
------------------------------------------------------------------------------
in second attempt it is stationary now.
the question is when writing the reggression comand will it be apprpriate to write as
xtreg BSPI T1CTRWA ,re
or I have add something after T1CTRWA
I have applied a unitroot test on one of the variables in my panel data set. the results are as follows
Fisher-type unit-root test for T1CTRWA
Based on augmented Dickey-Fuller tests
--------------------------------------
Ho: All panels contain unit roots Number of panels = 3
Ha: At least one panel is stationary Avg. number of periods = 37.67
AR parameter: Panel-specific Asymptotics: T -> Infinity
Panel means: Included
Time trend: Not included
Drift term: Not included ADF regressions: 0 lags
------------------------------------------------------------------------------
Statistic p-value
------------------------------------------------------------------------------
Inverse chi-squared(6) P 6.9045 0.3298
Inverse normal Z -0.7830 0.2168
Inverse logit t(19) L* -0.7240 0.2389
Modified inv. chi-squared Pm 0.2611 0.3970
------------------------------------------------------------------------------
P statistic requires number of panels to be finite.
Other statistics are suitable for finite or infinite number of panels.
------------------------------------------------------------------------------
. xtunitroot fisher T1CTRWA, dfuller trend lags(0)
Fisher-type unit-root test for T1CTRWA
Based on augmented Dickey-Fuller tests
--------------------------------------
Ho: All panels contain unit roots Number of panels = 3
Ha: At least one panel is stationary Avg. number of periods = 37.67
AR parameter: Panel-specific Asymptotics: T -> Infinity
Panel means: Included
Time trend: Included
Drift term: Not included ADF regressions: 0 lags
------------------------------------------------------------------------------
Statistic p-value
------------------------------------------------------------------------------
Inverse chi-squared(6) P 19.1540 0.0039
Inverse normal Z -1.5559 0.0599
Inverse logit t(19) L* -2.3470 0.0150
Modified inv. chi-squared Pm 3.7972 0.0001
------------------------------------------------------------------------------
P statistic requires number of panels to be finite.
Other statistics are suitable for finite or infinite number of panels.
------------------------------------------------------------------------------
. xtunitroot fisher T1CTRWA, dfuller drift lags(0)
Fisher-type unit-root test for T1CTRWA
Based on augmented Dickey-Fuller tests
--------------------------------------
Ho: All panels contain unit roots Number of panels = 3
Ha: At least one panel is stationary Avg. number of periods = 37.67
AR parameter: Panel-specific Asymptotics: T -> Infinity
Panel means: Included
Time trend: Not included
Drift term: Included ADF regressions: 0 lags
------------------------------------------------------------------------------
Statistic p-value
------------------------------------------------------------------------------
Inverse chi-squared(6) P 20.5069 0.0022
Inverse normal Z -3.1759 0.0007
Inverse logit t(19) L* -3.3224 0.0018
Modified inv. chi-squared Pm 4.1878 0.0000
------------------------------------------------------------------------------
P statistic requires number of panels to be finite.
Other statistics are suitable for finite or infinite number of panels.
------------------------------------------------------------------------------
in second attempt it is stationary now.
the question is when writing the reggression comand will it be apprpriate to write as
xtreg BSPI T1CTRWA ,re
or I have add something after T1CTRWA
