Description Usage Arguments Value Author(s) Examples
Simulate data for two-sided matching markets. In the simulation for the Sorensen (2007) model with one selection equation, 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 |
verbose |
. |
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 | ## Simulate two-sided 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), verbose=FALSE,
colleges = "c1", students = "s1",
outcome = ~ c1:s1 + eta + nu,
selection = ~ -1 + c1:s1 + eta
)
head(xdata$OUT)
head(xdata$SEL)
|
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