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Abstract

We establish a `map- for describing a wide class of Limited Dependent Variables models much used in the econometric literature. The classification system, or language, is an extension of Amemiya-s typology for tobit models and is intended to facilitate communication among researchers. The class is defined in relation to distributions of latent variables of an arbitrarily high dimension; the region of support can be divided into an arbitrary number of subsets, and the observation rules in each subset can be any combination of the observed, censored, and missing status. Consistent labeling is suggested at different levels of detail.



Item Type: MPRA Paper -

Original Title: New Taxonomies for Limited Dependent Variables Models-

Language: English-

Keywords: Limited dependent variables, Latent variables, Censoring, Truncation, Missing observations-

Subjects: C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C24 - Truncated and Censored Models ; Switching Regression Models ; Threshold Regression ModelsC - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C25 - Discrete Regression and Qualitative Choice Models ; Discrete Regressors ; Proportions ; Probabilities-





Author: Biørn, Erik

Source: https://mpra.ub.uni-muenchen.de/41461/



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