Hypothetical Tax Refund Data Frame — tax • samplingbook

Simulated tax refund data frame including the estimated and actual refund value

data(tax)

Format

A data frame with 9083 observations on the following 5 variables.

id: a numeric vector indicating the tax payer
estRefund: a numeric vector representing the estimated value of tax refund by the tax payer
actRefund: a numeric vector representing the actual tax refund calculated by the financial authority
diff: difference between estimated and acture tax refund
Class: a factor with levels 1, 2, 3, and 4 indicating the strata

Source

Due to data protection this is a simulated data set reflecting the real data.

References

Kauermann, Goeran/Kuechenhoff, Helmut (2010): Stichproben. Methoden und praktische Umsetzung mit R. Springer.

Examples

data(tax)
summary(tax)
#>        id         estRefund           actRefund              diff         
#>  Min.   :   1   Min.   :     0.27   Min.   :     0.00   Min.   :     0.0  
#>  1st Qu.:2272   1st Qu.:   124.77   1st Qu.:    76.31   1st Qu.:     0.0  
#>  Median :4542   Median :   543.23   Median :   378.08   Median :     0.0  
#>  Mean   :4542   Mean   :  3842.28   Mean   :  3227.43   Mean   :   614.9  
#>  3rd Qu.:6812   3rd Qu.:  2246.06   3rd Qu.:  1756.24   3rd Qu.:     0.0  
#>  Max.   :9083   Max.   :200504.35   Max.   :178104.99   Max.   :129520.4  
#>     Class          
#>  Length:9083       
#>  Class :character  
#>  Mode  :character  
#>                    
#>                    
#>                    

# illustration of stratamean
nh <- as.vector(table(tax$Class))
wh <- nh/sum(nh)
stratamean(y=tax$diff, h=as.vector(tax$Class), wh=wh, eae=TRUE)
#>                Mean          SE        CIu         CIo
#> 1          40.36435    1.623603   37.18214    43.54655
#> 2         480.43275   24.026405  433.34186   527.52364
#> 3        3840.83780  312.559990 3228.23147  4453.44412
#> 4       11161.88331 2216.524710 6817.57471 15506.19191
#> overall   614.85125   40.010241  536.43262   693.26988