# Simulate individual-level data for one-sided matching markets

### Description

Simulate individual-level data for one-sided matching markets.

### Usage

1 |

### Arguments

`m` |
integer indicating the number of markets to be simulated. |

`ind` |
integer (or vector) indicating the number of individuals per group. |

`seed` |
integer setting the state for random number generation. Defaults to |

`singles` |
integer giving the number of one-group markets. |

`gpm` |
integer giving the number of groups per market. |

### Value

`stabsim`

returns a data frame with the randomly generated variables
mimicking those in dataset `baac00`

.

`m.id` |
categorical: market identifier. |

`g.id` |
categorical: group identifier. |

`wst` |
binary: indicator taking the value 1 if last year was worse than the year before; 0 otherwise. |

`R` |
NA: group outcome is not simulated. It can be obtained using the |

### Author(s)

Thilo Klein

### Examples

1 2 3 4 5 6 7 8 9 | ```
## Coalitions [gpm := 2 !]
## Simulate one-sided matching data for 4 markets (m=4) with 2 groups
## per market (gpm=2) and 2 to 4 individuals per group (ind=2:4)
idata <- stabsim(m=4, ind=2:4, seed=124, singles=2, gpm=2)
## Rommmates [ind := 2 !]
## Simulate one-sided matching data for 3 markets (m=3) with 3 groups
## per market (gpm=3) and 2 individuals per group (ind=2)
idata <- stabsim(m=3, ind=2, seed=124, gpm=3)
``` |