DataExp: DataExp
In PooledMeanGroup: Pooled Mean Group Estimation of Dynamic Heterogenous Panels
Description
Usage
Format
Examples
Description
A dataset in the form of stacked time-series. Quarterly data cover nine countries (Poland, Bulgaria, the Czech Republic, Hungary, Latvia, Lithuania, Romania, Slovakia, Slovenia; the numbers denoting particular countries form a series i=1,2,...,9) from 2005q2 to 2013q4. The dataset contains the following (below) variables
Usage
1
data("DataExp")
Format
A data frame with 315 observations on the following 16 variables.
y10a numeric vector
y10spreada numeric vector
riskaversa numeric vector
debta numeric vector
deficita numeric vector
openessa numeric vector
cpia numeric vector
growtha numeric vector
criska numeric vector
uratea numeric vector
iipa numeric vector
iipnettoa numeric vector
cagdpa numeric vector
caresvsa numeric vector
cdsa numeric vector
bidaska numeric vector
Examples
1
Example output
PooledMeanGroup documentation built on May 2, 2019, 12:40 p.m.
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Description Usage Format Examples
Description
A dataset in the form of stacked time-series. Quarterly data cover nine countries (Poland, Bulgaria, the Czech Republic, Hungary, Latvia, Lithuania, Romania, Slovakia, Slovenia; the numbers denoting particular countries form a series i=1,2,...,9) from 2005q2 to 2013q4. The dataset contains the following (below) variables
Usage
1 | data("DataExp")
|
Format
A data frame with 315 observations on the following 16 variables.
y10a numeric vector
y10spreada numeric vector
riskaversa numeric vector
debta numeric vector
deficita numeric vector
openessa numeric vector
cpia numeric vector
growtha numeric vector
criska numeric vector
uratea numeric vector
iipa numeric vector
iipnettoa numeric vector
cagdpa numeric vector
caresvsa numeric vector
cdsa numeric vector
bidaska numeric vector
Examples
1 |
Example output
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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