Introduction to econometrics with R / Christoph Hank...[et al.]. [recurso electrónico]
Tipo de material: TextoDetalles de publicación: Essen : University of Duisburg-Essen. Department of Business Administration and Economics, 2020Descripción: 1 recurso en líneaTema(s): Clasificación CDD:- 330.015195
Tipo de ítem | Biblioteca actual | Signatura | Estado | Fecha de vencimiento | Código de barras |
---|---|---|---|---|---|
Libro electrónico | Biblioteca Manuel Belgrano | Recurso en línea (Navegar estantería(Abre debajo)) | Disponible |
Over the recent years, the statistical programming language R has become an integral part of the curricula of econometrics classes we teach at the University of Duisburg-Essen. We regularly found that a large share of the students, especially in our introductory undergraduate econometrics courses, have not been exposed to any programming language before and thus have difficulties to engage with learning R on their own. With little background in statistics and econometrics, it is natural for beginners to have a hard time understanding the benefits of having R skills for learning and applying econometrics. These particularly include the ability to conduct, document and communicate empirical studies and having the facilities to program simulation studies which is helpful for, e.g., comprehending and validating theorems which usually are not easily grasped by mere brooding over formulas. Being applied economists and econometricians, all of the latter are capabilities we value and wish to share with our students.
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