Graphical Methods for Identification in Structural Equation Models
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Graphical Methods for Identification in Structural Equation Models
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| Id. |
3270407 |
| Idioma |
PT
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| Titulo |
Graphical Methods for Identification in Structural Equation Models |
| Autor(es) |
Carlos Eduardo Fisch de Brito
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| Versión |
1.0 |
| Estado |
Final
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| Descripción |
Structural Equation Models (SEM) is one of the most important tools for causal analysis in the social and behavioral sciences (e.g., Economics, Sociology, etc). A central problem in the application of SEM models is the analysis of Identification. Succintly, a model is identified if it only admits a unique parametrization to be compatible with a given covariance matrix (i.e., observed data). The identification of a model is important because, in general, no reliable quantitative conclusion can be derived from non-identified models.In this work, we develop a new approach for the analysis of identification in SEM, based on graph theoretic techniques. Our main result is a general sufficient criterion for model identification. The criterion consists of a number of graphical conditions on the causal diagram of the model. We also develop a new method for computing correlation constraints imposed by the structural assumptions, that can be used for model testing. Finally, we also provide a generalization to the traditional method of Instrumental Variables, through the concept of Instrumental Sets.
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| Palabras clave |
CIENCIA DA COMPUTACAO
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| Tipo de recurso |
Electronic Thesis or Dissertation
Tese ou Dissertacao Eletronica
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| Tipo de Interactividad |
Expositivo
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| Nivel de Interactividad |
muy bajo
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| Audiencia |
Estudiante
Profesor
Autor
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| Estructura |
Atomic |
| Coste |
no
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| Copyright |
sí
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| Requerimientos técnicos |
Browser: Any
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| Fecha de contribución |
08-may-2008 |
| Contacto |
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