{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")