Ramu Ramanathan (Author of Introductory Econometrics with Applications)
Video 1: Introduction to Simple Linear Regression
Please take this quick survey to tell us about what happens after you publish a paper. Computational Economics. Traditionally, computer and software applications have been used by economists to off-load otherwise complex or tedious tasks onto technology, freeing up time and intellect to address other, intellectually more rewarding, aspects of research.
Introduction to Econometrics with R
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. Being applied economists and econometricians, all of the latter are capabilities we value and wish to share with our students. It is an interactive script in the style of a reproducible research report and enables students not only to learn how results of case studies can be replicated with R but also strengthens their ability in using the newly acquired skills in other empirical applications.
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