stabsim function

Simulated data for group formation problem

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

stabsim(m, ind, seed = 123, singles = NULL, gpm = 2)

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 set.seed(123).
• singles: integer giving the number of one-group markets.
• gpm: integer giving the number of groups per market.

Returns

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 simulation argument in function stabit.

Examples

## 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)

Author(s)

Thilo Klein