Partially Studied Models Based on Discreet Variables

Constantin Anghelache, Gabriela Victoria Anghelache, Andreea Gabriela Baltac and Claudia Catalina Sava
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Constantin Anghelache: „Artifex” University of Bucharest
Gabriela Victoria Anghelache: Academy of Economic Studies, Bucharest
Andreea Gabriela Baltac: Academy of Economic Studies, Bucharest
Claudia Catalina Sava: „Lucian Blaga” University of Sibiu

Romanian Statistical Review Supplement, 2013, vol. 61, issue 1, 119-125

Abstract: We study some types of models that do not fall into this category: - Models with discrete dependent variables, called qualitative response models where endogenous variables can take only two values (binomial dichotomous or binary response models) or a limited number of values (divided into several categories, multinomial, or model choice multiple); - Partially observed models (or models with limited dependent variables) where the dependent variable analyzes are reduced to a single value after a certain limit. We consider here models censored sampling designs. These latter models are characterized by a truncation process that depends on a latent variable that differs from the one that describes the observed data.

Keywords: models; discrete dependent variables; limited dependent variables (search for similar items in EconPapers)
JEL-codes: C18 C25 (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:rsr:supplm:v:61:y:2013:i:1:p:119-125

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