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Modelos de datos de panel y variables dependientes limitadas: teoría y práctica

Authors: Beltrán B., Arlette; Castro, Juan Francisco;

Modelos de datos de panel y variables dependientes limitadas: teoría y práctica

Abstract

Por un lado, se ha realizado un breve desarrollo teórico. Su objetivo es formalizar el modelo estadístico asociado a cada tema, las propiedades más importantes de los estimadores y la manera como se utilizan sus resultados para hallar los efectos marginales de las variables de interés. Conocer las principales características del Introducción modelo estadístico teórico es fundamental para elegir adecuadamente la técnica por emplear, mientras que estar familiarizado con el cálculo de los efectos marginales es crucial para una adecuada interpretación de los resultados obtenidos. El otro lado está escrito desde un enfoque práctico y tiene que ver con el desarrollo de casos aplicados con información e interrogantes reales. En cada uno de ellos, el lector podrá encontrar dos elementos: (i) una guía sobre cómo aplicar las técnicas discutidas en el entorno del paquete estadístico Stata y (ii) un ejemplo de cómo interpretar, presentar y discutir sus resultados a la luz de un objetivo de investigación y una hipótesis de trabajo.

Country
Peru
Related Organizations
Keywords

Análisis econométrico, http://purl.org/pe-repo/ocde/ford#5.02.02, Modelos econométricos, Análisis econométrico--Estudio de casos

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green