Maximum score estimator

When modelling discrete choice model, it is always assumed that the choice is determined by the comparison of the underlying latent utility. Denote…

Papers overview

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2015

I analyze the effects of bank mergers and competitive market structure after the Riegle-Neal Interstate Banking and Branching…

2014

Abstract. Since Manski's (1975) seminal work, the maximum score method for discrete choice models has been applied to various…

2011

This paper compares ve semi-parametric estimators for binary outcome models: a ‘semi-nonparametric’ estimator, a maximum score…

2007

The micro-credit movement has used innovative lending techniques to push financial frontiers. Many micro-lenders operate in an…

2006

The binary-response maximum score (MS) estimator is a robust estimator, which can accommodate heteroskedasticity of an unknown…

2006

Categorical outcome (or discrete outcome or qualitative response) regression models are models for a discrete dependent variable…

2005

The binary-response maximum score estimator is a robust estimator, which can accommodate heteroskedasticity of an unknown form…

1994

In a binary choice panel data model with individual effects and two time periods, Manski proposed the maximum score estimator…