matchingMarkets (version 0.1-1)

stabsim: Simulate individual-level data for one-sided matching markets

Description

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

Usage

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.
• pi
  continuous: uniformly distributed project success probability in [0,1].
• wst
  binary: indicator taking the value 1 if last year was worse than the year before; 0 otherwise.
• occ1
  continuous: percentage of revenue from income group 1.
• occ2
  continuous: percentage of revenue from income group 2.
• occ3
  continuous: percentage of revenue from income group 3.
• 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)