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https://repositorio.uca.edu.ar/handle/123456789/21532| Título: | Imputations for missing data in income variables. Permanent Household Survey (EPH). Gran Buenos Aires, Argentina / 1990-2010 | Autor: | Donza, Eduardo Ricardo | Palabras clave: | ENCUESTAS; ANALISIS ESTADISTICO; ANALISIS DE DATOS; INDICADORES SOCIALES; ARGENTINA | Fecha de publicación: | 2016 | Editorial: | International Sociological Association | Resumen: | Scientific paper presented at the session RC55 (Imputation and Social Indicators: The Use of Factor Analysis for Imputing Missing Data) during the 3rd ISA Forum of Sociology, held in Vienna, Austria, from July 10th to 14th, 2016 - The research begins with the academic concern about the critical impact of missing data in income variables regarding to living conditions and inequality. The main objective is to describe the scope of missing data in income variables and its effect for research based on these kind of variables. It also applies a methodological strategy in order to impute values to missing data, and to recalculate social indicators. | Cobertura Espacial: | Argentina | Cobertura Temporal: | 1990-2010 | URI: | https://repositorio.uca.edu.ar/handle/123456789/21532 | Derechos: | Atribución-NoComercial-CompartirIgual 4.0 Internacional | Fuente: | 3rd ISA Forum of Sociology |
| Aparece en las colecciones: | Ponencias |
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| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| imputations-for-missing-data-in-income-variables.pdf | 390,92 kB | Adobe PDF |  Visualizar/Abrir |
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