Set of different market structure measures to reflect a given market structure.

## Usage

```
concstats_mstruct(x, type = c("firm", "nrs_eq", "top", "top3", "top5",
"all"), na.rm = TRUE, digits = NULL)
```

## Arguments

- x
A non-negative numeric vector.

- type
A character string of the measure to be calculated, can be abbreviated with the first letter. Defaults to "firm". Input is not case-sensitive.

- na.rm
A logical vector that indicates whether

`NA`

values should be excluded or not. Must be either`TRUE`

or`FALSE`

. The default is`TRUE`

. If set to`FALSE`

the computation yields`NA`

if vector contains`NA`

values.- digits
A non-null value for digits specifies the minimum number of significant digits to be printed in values. The default is

`NULL`

and will use base R print option. Significant digits defaults to 7.

## Details

`concstats_mstruct`

is a wrapper for the proposed structural measures
`concstats_firm()`

, returns the number of firms with a given market share
`concstats_nrs_eq()`

computes the reciprocal of the HHI, which indicates
the equivalent number of firms of the same size,
`concstats_top()`

, `concstats_top3()`

, and `concstats_top5()`

calculate the share of the top (top 3 and top 5) firm(s) and returns the
value in percentage. `concstats_all_mstruct()`

computes all measures in
a one step procedure. All measures can be computed individually.

## Note

The vector of market shares should be in a decimal form corresponding to total share of individual firms/units.The sum of the vector should sum up to 1.

## Examples

```
# a vector of market shares
x <- c(0.35, 0.4, 0.05, 0.1, 0.06, 0.04)
# the number of firms with market share
concstats_mstruct(x, type = "firm")
#> [1] 6
# Calculate top market share individually
concstats_top(x)
#> [1] 40
# Calculate the market structure group measures
concstats_mstruct(x, type = "all", digits = 2)
#> Measure Value
#> 1 Firms 6.0
#> 2 Nrs_equivalent 3.3
#> 3 Top (%) 40.0
#> 4 Top3 (%) 85.0
#> 5 Top5 (%) 96.0
```