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qreg - Stata

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2 <strong>qreg</strong> — Quantile regression<br />

vceopts<br />

denmethod<br />

bwidth<br />

Description<br />

nonparametric density estimation technique<br />

bandwidth method used by the density estimator<br />

denmethod<br />

fitted<br />

residual<br />

kernel [ (kernel) ]<br />

Description<br />

use the empirical quantile function using fitted values; the default<br />

use the empirical residual quantile function<br />

use a nonparametric kernel density estimator; default is<br />

epanechnikov<br />

bwidth<br />

hsheather<br />

bofinger<br />

chamberlain<br />

Description<br />

Hall–Sheather’s bandwidth; the default<br />

Bofinger’s bandwidth<br />

Chamberlain’s bandwidth<br />

kernel<br />

epanechnikov<br />

epan2<br />

biweight<br />

cosine<br />

gaussian<br />

parzen<br />

rectangle<br />

triangle<br />

Description<br />

Epanechnikov kernel function; the default<br />

alternative Epanechnikov kernel function<br />

biweight kernel function<br />

cosine trace kernel function<br />

Gaussian kernel function<br />

Parzen kernel function<br />

rectangle kernel function<br />

triangle kernel function<br />

i<strong>qreg</strong> options<br />

Description<br />

Model<br />

quantiles(# #) interquantile range; default is quantiles(.25 .75)<br />

reps(#)<br />

perform # bootstrap replications; default is reps(20)<br />

Reporting<br />

level(#)<br />

nodots<br />

display options<br />

set confidence level; default is level(95)<br />

suppress display of the replication dots<br />

control column formats, row spacing, line width, display of omitted<br />

variables and base and empty cells, and factor-variable labeling

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