{smcl}
{right:version 0.0.0, 21 Mar 2017}
{title:Title}
{phang}
{bf:semipmarginal }{hline 2} Calculates the marginal effects of a semi-parametric regression, including confidence bounds
{title:Author}
{p 4 4 2}
Tim Foreman{break}
Columbia University{break}
{title:Syntax}
{p 8 16 2}
{opt semipmarginal} {depvar} {indepvar} [{control vars}]
[{cmd:,} {it:options}]
{synoptset 20 tabbed}{...}
{synopthdr}
{synoptline}
{synopt :{opt ndiff}} number of Yatchew differences to use{p_end}
{synopt :{opt nbstrap}} number of bootstrap simulations to run{p_end}
{synopt :{opt graphname}} name to save output graph{p_end}
{synopt :{opt datname}} name to save output data{p_end}
{synoptline}
{title:Example}
Find the marginal effect of x on y with z as control, set number
of bootstrap samples to 1000 and Yatchew differences to 3
. semipmarginal y x z, ndiff(3) nbstrap(1000) graphname("xy") datname("xy")