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Title stata.com probit — Probit regression

Probit regressionSyntaxMenuDescriptionOptionsRe marks and examplesStored resultsMethods and formulasReferencesAlso seeSyntaxprobitdepvar[indepvars] [if] [in] [weight] [,options]optionsDescriptionModelnoconst antsuppress constant termoffset(varname)includevarnamein model with coefficient constrained to 1asisretain perfect predictor variablesconstraints(constraints)apply specified linear constraintscollinearkeep collinear variablesSE/Robustvce(vcetype)vcetypemay beoim,robust,clusterclustvar,bootstrap, orjackknifeReportinglevel(#)set confidence level; default islevel(95)nocnsreportdo not display constraintsdisplayoptionscontrol column formats, row spacing, line width, display of omittedvariables and base and empty cells, and factor-variable labelingMaximizationmaximizeoptionscontr ol the maximization process; seldom usednocoefdo not display the coefficient table; seldom usedcoeflegenddisplay legend instead of statisticsindepvarsmay contain factor variables; see[U] Factor contain time-series operators; see[U] Time-series ,by,fp,jackknife,mfp,mi estimate,nestreg,rolling,statsby,st

2probit— Probit regression Menu Statistics >Binary outcomes >Probit regression Description probit fits a maximum-likelihood probit model. If estimating on grouped data, see the bprobit command described in[R] glogit.Several auxiliary commands may be run after probit, logit, or logistic; see[R] logisticpostestimation for a description of these commands. See[R] logistic for a …

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