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Partially Studied Models Based on Discreet Variables

Author

Listed:
  • 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)

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.

Suggested Citation

  • Constantin ANGHELACHE & Gabriela Victoria ANGHELACHE & Andreea Gabriela BALTAC & Claudia Catalina SAVA, 2013. "Partially Studied Models Based on Discreet Variables," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 61(1), pages 119-125, March.
    • Handle: RePEc:rsr:supplm:v:61:y:2013:i:1:p:119-125
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    More about this item

    Keywords

    models; discrete dependent variables; limited dependent variables;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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