2006RePEc: Research Papers in EconomicsRequires access

REGOPROB: Stata module to estimate random effects generalized ordered probit models

Stefan Boes

Open publisher page 8 citations

Abstract

regoprob is a user-written procedure to estimate random effects generalized ordered probit models in Stata. The actual values taken on by the dependent variable are irrelevant except that larger values are assumed to correspond to "higher" outcomes. The generalized model relaxes the parallel regression assumption of standard ordered probit models and its random effects counterpart. It is a rewritten version of goprobit for panel data. The likelihood for each unit is approximated by Gauss-Hermite quadrature.

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What this paper is about

regoprob is a user-written procedure to estimate random effects generalized ordered probit models in Stata. The actual values taken on by the dependent variable are irrelevant except that larger values are assumed to correspond to "higher" outcomes. The generalized model relaxes the parallel regression assumption of standard ordered probit models and its random effects counterpart. It is a rewritten version of goprobit for panel data. The likelihood for each unit is approximated by Gauss-Hermite quadrature.

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Available abstract

regoprob is a user-written procedure to estimate random effects generalized ordered probit models in Stata. The actual values taken on by the dependent variable are irrelevant except that larger values are assumed to correspond to "higher" outcomes. The generalized model relaxes the parallel regression assumption of standard ordered probit models and its random effects counterpart. It is a rewritten version of goprobit for panel data. The likelihood for each unit is approximated by Gauss-Hermite quadrature.

Key concepts: Mathematics, Probit model, Ordered probit, Random effects model, Probit, Statistics, Multinomial probit, Econometrics

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