Simulate individual-level data for one-sided matching markets

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Description

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

Usage

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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.

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 simulation argument in function stabit.

Author(s)

Thilo Klein

Examples

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## 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)