If I understand it correctly, when using the -vce(bootstrap)- command for a regression, Stata will randomly draw _N observations from the sample 50 times (by default) to calculate the t statistic.
Stata provides users the ability to control the size of bootstrapped samples with the -size(#)- parameter. However, I'm a bit confused as to what Stata does if -size(#)- is not defined. The help section says by default _N is the number of observations in the sample... so is Stata drawing _N observations for every bootstrapped sample?
For example, if I have a sample of 10,000 observations, when bootstrapping does Stata draw 10,000 observations of each bootstrap repetition? How does that make sense?
Related Posts with How does Stata select bootstrap samples?
[new on SSC] ineqord: module to calculate indices of inequality and polarization for ordinal dataWith thanks as ever to Kit Baum, ineqord is now available on SSC. Its functionality is described bel…
Post estimation with endogenous switching regressionsDear STATALIST, I am using an endogenous switching regression model to understand how selection aff…
removing the first character of a string variable if it is zeroHi everyone, How can I remove the first character(s) of values if they are zero? For example, I woul…
Ivreg 2sls and fixed effectsDear all, I would like to use instrument2 as an instrument for sp_city_10t. I estimate the following…
esttab: Can't Export Continuous Variable's Coefficient when it's also in Another Interaction Term & Exporting with Multiple SpecificationsDear Statalist Users, I am having trouble exporting my estimation results for my paper. I am using …
Subscribe to:
Post Comments (Atom)
0 Response to How does Stata select bootstrap samples?
Post a Comment