SADMER: A System to Aid the Teaching of Econometric Modeling Using the R Language

In this paper we present a System to Aid the Teaching of Econometric Modeling using the R language (SADMER), a project designed to help econometrics students in the development of regression models with R. Teaching econometrics aims to develop students’ competencies to apply econometric modeling to the solution of real-world economic and social problems. The use of R in the teaching of econometrics has numerous advantages. It is an open-source data analysis software with a wide variety of packages available on the CRAN platform, it can be integrated with other languages and tools (Python, Shiny, SQL, Hadoop, etc.) and it can improve the employability of students. On the other hand, R also has a number of disadvantages compared to other software (Gretel, Eviews, Stata, SPSS, etc.) mainly related to its learning curve and with the need to adequately manage the abundance of resources, libraries and functions available for econometric modeling. Precisely to overcome some of these limitations, we present SADMER, a system of tools and resources for teaching econometrics with R. We provide a set of didactic resources that facilitates the preparation of students by chapters through theoretical and practical guides, script code examples, and a web application that accompanies the user in the solution of the challenges posed by the econometric model. In this way, we have created a system that facilitates the flipped classroom approach and gives a boost to the application of econometric models in real projects.