Simulate data for twosided matching markets. In the simulation for the Sorensen (2007) with one
selection equation (selection
), an equal sharing rule of λ = 0.5 is used.
1 2 
m 
integer indicating the number of markets to be simulated. 
nStudents 
integer indicating the number of students per market. 
nColleges 
integer indicating the number of colleges per market. 
nSlots 
vector of length 
colleges 
character vector of variable names for college characteristics. These variables carry the same value for any college. 
students 
character vector of variable names for student characteristics. These variables carry the same value for any student. 
outcome 
formula for match outcomes. 
selection 
formula for match valuations. 
binary 
logical: if 
seed 
integer setting the state for random number generation. Defaults to 
stabsim2
returns a list with the following items.
OUT 

SEL 

SELc 

SELs 
Thilo Klein
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15  ## Not run:
## Simulate twosided matching data for 2 markets (m=2) with 10 students
## (nStudents=10) per market and 3 colleges (nColleges=3) with quotas of
## 2, 3, and 5 students, respectively.
xdata < stabsim2(m=2, nStudents=10, nSlots=c(2,3,5),
colleges = "c1",
students = "s1",
outcome = ~ c1:s1 + eta + nu,
selection = ~ 1 + c1:s1 + eta
)
head(xdata$OUT)
head(xdata$SEL)
## End(Not run)

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