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Título:
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Big data, computational science, economics, finance, marketing, management, and psychology: connections
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Autores:
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Chang, Chia-Lin ;
McAleer, Michael ;
Wong, Wing-Keung
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Tipo de documento:
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texto impreso
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Editorial:
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Facultad de Ciencias Económicas y Empresariales. Instituto Complutense de Análisis Económico (ICAE), 2018
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Dimensiones:
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application/pdf
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Nota general:
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cc_by_nc_sa
info:eu-repo/semantics/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Matemáticas: Economía financiera
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Materia = Ciencias Sociales: Economía: Finanzas
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Tipo = Documento de trabajo o Informe técnico
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Resumen:
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The paper provides a review of the literature that connects Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology, and discusses some research that is related to the seven disciplines. Academics could develop theoretical models and subsequent econometric and statistical models to estimate the parameters in the associated models, as well as conduct simulation to examine whether the estimators in their theories on estimation and hypothesis testing have good size and high power. Thereafter, academics and practitioners could apply theory to analyse some interesting issues in the seven disciplines and cognate areas.
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En línea:
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https://eprints.ucm.es/46293/1/1805.pdf
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