concstats is a small package that helps you to **calculate the
structure, concentration or diversity measures of a given
market.**

You can reach that goal in different ways:

a) calculating an individual measure, e.g. the Herfindahl Hirschman
Index (HHI) or its dual.

b) calculating a group of measures, e.g. structural measures, or

c) a set of pre-selected measures in a one-step procedure.

You can install `concstats`

directly from CRAN

```
install.packages("concstats") # Market Structure, Concentration, and Inequality
# Measures
library(concstats)
```

You can install the development versions from

*r-universe*

install.packages(“concstats”, repos = “https://ropensci.r-universe.dev”)

*github* (requires `remotes`

or
`devtools`

)

remotes::install_github(“ropensci/concstats”

Measures of concentration and competition are important and give a
first insight of a given market structure in a particular market.

**They are important to determine public policies and strategic
corporate decisions**. However, in research and in practice the
most commonly used measure is the Herfindahl Hirschman Index. The
`concstats`

package offers a **set of alternative
measures**.

`concstats`

allows you to **calculate quickly a
particular measure or a group of measures to give you a better overview
of a given market situation and therefore reducing uncertainty.**
**It can be used by practitioners and academics
alike.**

`concstats`

should be used by practitioners and academics
**who are concerned about structure, concentration, diversity or
inequality** in general or on a regular basis. **A single
standard measure like the Herfindahl Hirschman Index (HHI) may lead to
erroneous conclusions.** The `concstats`

package
offers a **straightforward way to calculate standard and
alternative measures** given a data set of market participants
and their participation (in relative values) in a particular market at a
given point of time or over time. concstats provides currently the
following basic functions:

calculates eight pre-selected measures in a one-step procedure to provide a first insight of the market. The resulting data frame contains eight measures, which are: 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.`concstats_concstats()`

is a wrapper for the following measures:`concstats_mstruct()`

**firm**,**nrs_eq**(Numbers equivalent),**top**,**top 3**and**top 5**market share, and**all**calculates all measures as a group. Each of the measures within a group can be accessed directly using the prefix**concstats_**, e.g.**concstats_firm**.is a group wrapper for the following concentration measures:`concstats_comp()`

**hhi**, the**dual of the hhi**, the**min. of the hhi**, the**dominance index**, the**stenbacka index**, and finally**all**which calculates all measures as a group.is a wrapper for inequality and diversity measures and contains:`concstats_inequ()`

**entropy**,**gini coefficient**,**simpson index**, the**palma ratio**and the alternative**grs**measure,**all**calculates the group measures.