Title Stata.com Asmprobit — Alternative-specific Multinomial Probit Regression

Syntax Menu Description Options Remarks and examples Stored results Methods and formulas References Also see Syntax asmprobit depvar indepvars if in weight , case(varname) alternatives(varname) options options Description Model * case(varname) use varname to identify cases * alternatives(varname) use varname to identify the alternatives available for each case casevars(varlist) case-specific variables constraints(constraints) apply specified linear constraints collinear keep collinear variables Model 2 correlation(correlation) correlation structure of the latent-variable errors stddev(stddev) variance structure of the latent-variable errors structural use the structural covariance parameterization; default is the differenced covariance parameterization factor(#) use the factor covariance structure with dimension # noconstant suppress the alternative-specific constant terms basealternative(# | lbl | str) alternative used for normalizing location scalealternative(# | lbl | str) alternative used for normalizing scale altwise use alternativewise deletion instead of casewise deletion SE/Robust Reporting level(#) set confidence level; default is level(95) notransform do not transform variance–covariance estimates to the standard deviation and correlation metric nocnsreport do not display constraints display options control column formats and line width 1 2 asmprobit — Alternative-specific multinomial probit regression Integration intmethod(seqtype) type of quasi-or pseudouniform point set intpoints(#) number of points in each sequence intburn(#) starting index in the Hammersley or Halton sequence intseed(code | #) pseudouniform random-number seed antithetics use antithetic draws nopivot do not use integration interval pivoting initbhhh(#) use the BHHH optimization algorithm for the first # iterations favor(speed | space) favor speed or space when generating integration points Maximization maximize options control the maximization process coeflegend display legend instead of statistics correlation Description unstructured one correlation parameter for each pair of alternatives; correlations with the basealternative() are zero; the default exchangeable one correlation parameter common to all pairs of alternatives; correlations with the basealternative() are zero independent constrain all correlation parameters to zero pattern matname user-specified matrix identifying the correlation pattern fixed matname user-specified matrix identifying the fixed and free correlation parameters stddev Description heteroskedastic estimate standard deviation for each alternative; standard deviations for basealternative() and scalealternative() set to one homoskedastic all standard deviations are one pattern matname user-specified matrix identifying the standard deviation pattern fixed matname user-specified matrix identifying the fixed and free standard deviations seqtype Description hammersley Hammersley point set halton Halton point set random uniform pseudorandom point set * case(varname) and alternatives(varname) are required. bootstrap, by, jackknife, statsby, and xi are allowed; see [U] 11.1. 10 Prefix commands. Weights are not allowed with the bootstrap prefix; see [R] bootstrap. …