Description Usage Format Details
A simulated data set where three different raters (rater1, rater2
and rater3
)
assign ordinal ratings on different firms. rater3
uses a different rating scale
compared to rater1
and rater2
, i.e., the number of threshold categories is different.
For each firm we simulate five different covariates X1, ..., X5
from a standard
normal distribution. Additionally, each firm is randomly assigned to a business sector (sector X
, Y
or Z
), captured by the covariate X6
. Furthermore, we simulate
multivariate normally distributed errors. For a given set of parameters we obtain the three rating variables for
each firm by slotting the latent scores according to the corresponding threshold parameters.
The IDs for each subject i of the n = 1000 firms are stored in the column firm_id
. The IDs of the raters are stored
in the column rater_id
. The ordinal ratings are provided in the column rating
and all the covariates in the remaining columns.
Overall, the data set has 3000 rows, for each of the n = 1000 firms it has three rating observations.
1 |
A data frame with 3000 rows and 9 variables
firm_id
firm index
rater_id
rater index
rating
ordinal credit ratings
X1
covariate X1
X2
covariate X2
X3
covariate X3
X4
covariate X4
X5
covariate X5
X6
covariate X6 (factor)
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