I am using bootstrap for my simulation.
The number of the population is flexible for each case, and the sample size is decided by a certain percentage. For example, I have a 10,000 population, and I decide to use 10% for each iteration of bootstrap, so the sample size is 1,000.
In practice, I found it is hard to decide how many times to run the bootstrap is enough. With less simulation, the results appear insufficiant, while with a large number of simulation they are purely redundant.
May I know if there is a method that can help me to decide the number of iterations to run?