matchingMarkets (version 1.0-2)

mce: MC Experiments

Description

MC Experiments

Usage

mce(seed, niter, N, n, m, type, method)

Arguments

seed

seed value for Monte Carlo Experiment

niter

number of draws in estimation

N

group size (population)

n

group size (sample)

m

number of markets

type

type of the MC Experiment. Either group.members for randomly sampled group members or counterfactual.groups for randomly sampled number of counterfactual (or feasible) groups in selection equation (capped at limit max.combs=250)

method

either group.members or counterfactual.groups

Examples

# NOT RUN {
## 1. Set parameters
mciter <- 2 #500
niter <- 10 #400000
nodes <- 4

## 2. Setup parallel backend to use 4 processors
library(foreach); library(doSNOW)
cl <- makeCluster(4); registerDoSNOW(cl)

## 3. Define foreach loop function
mce.add <- function(mciter, niter, N, n, m, type, method){
  h <- foreach(i=1:mciter) %dopar% {
    library(matchingMarkets)
    mce(seed=i,niter, N, n, m, type, method)
  }
  do.call(rbind, h)
}

## 4. Run siumlations:

## 4-a. Benchmark study
exp.5.5.ols <- mce.add(mciter=mciter, niter=niter, N=5, n=5, m=40,
                       type="group.members", method="outcome")
exp.5.5.ntu <- mce.add(mciter=mciter, niter=niter, N=5, n=5, m=40, 
                       type="group.members", method="NTU")

## 4-b. Experiment 1: randomly sampled group members
exp.6.5.ols <- mce.add(mciter=mciter, niter=niter, N=6, n=5, m=40,
                       type="group.members", method="outcome")
exp.6.5.ntu <- mce.add(mciter=mciter, niter=niter, N=6, n=5, m=40,
                       type="group.members", method="NTU")

## 4-c. Experiment 2: randomly sampled counterfactual groups
exp.6.6.ols <- mce.add(mciter=mciter, niter=niter, N=6, n=6, m=40, 
                       type="counterfactual.groups", method="outcome")
exp.6.6.ntu <- mce.add(mciter=mciter, niter=niter, N=6, n=6, m=40, 
                       type="counterfactual.groups", method="NTU")

## 5. Stop parallel backend
stopCluster(cl)
# }