A simulated data set where three different raters (
rater1, rater2 and
assign ordinal ratings on different firms.
rater3 uses a different rating scale
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
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.
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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