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Partially Studied Models Based on Discreet Variables

  • Constantin ANGHELACHE

    („Artifex” University of Bucharest
    Academy of Economic Studies, Bucharest)

  • Gabriela Victoria ANGHELACHE

    (Academy of Economic Studies, Bucharest)

  • Andreea Gabriela BALTAC

    (Academy of Economic Studies, Bucharest
    „Artifex” University of Bucharest)

  • Claudia Catalina SAVA

    („Lucian Blaga” University of Sibiu)

Registered author(s):

    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.

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    Article provided by Romanian Statistical Review in its journal Romanian Statistical Review Supplement.

    Volume (Year): 61 (2013)
    Issue (Month): 1 (March)
    Pages: 119-125

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    Handle: RePEc:rsr:supplm:v:61:y:2013:i:1:p:119-125
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