concstats_concstats {concstats} | R Documentation |

## A set of Market Structure, Concentration, and Inequality Measures

### Description

A convenience function which calculates a selected set of different market structure, inequality and concentration measures more or less commonly used, e.g. k-firm ratios, Entropy, HHI, Palma ratio, and others in a one step procedure to provide a first overview.

### Usage

```
concstats_concstats(x, na.rm = TRUE, digits = NULL)
```

### Arguments

`x` |
A non-negative numeric vector. |

`na.rm` |
A logical vector that indicates whether |

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

### Details

`concstats_concstats`

computes a set of different and selected
structural, inequality, and concentration measures in a one step procedure.
The resulting `data frame`

contains eight measures: number of firms with
market share, numbers equivalent, the cumulative share of the top
(top 3 and top 5) firm(s) in percentage, the hhi index, the entropy index,
and the palma ratio. However, all measures can be computed individually or
in groups.

### Value

A `data frame`

of numeric measures with default settings.

### Note

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

### See Also

`concstats_mstruct()`

, `concstats_comp()`

, `concstats_inequ()`

### Examples

```
# a vector of market shares
x <- c(0.35, 0.4, 0.05, 0.1, 0.06, 0.04)
# a selected set of different structural, concentration, and inequality
# measures
concstats_concstats(x, digits = 2)
```

*concstats*version 0.1.6 Index]