Introduction à la diversité des méthodes dites quantitatives, aux débats en histoire de la pensée et épistémologie économique sur l’usage de ces méthodes, ainsi qu’aux récents travaux produits avec ces méthodes.
I am thrilled to announce the inaugural development release of [Ranystyle](https://agoutsmedt.github.io/Ranystyle/index.html)! Ranystyle is designed to extract, parse and clean bibliographic references from an array of sources including PDFs, text documents, and references stored in a R objects. At its core, [Ranystyle](https://agoutsmedt.github.io/Ranystyle/index.html) harnesses the power of the [anystyle](https://anystyle.io/) Ruby gem, wrapping (and extending) its capabilities within an intuitive R interface.
Ranystyle (pronounce R-anystyle) is an R package designed to automate the extraction, parsing, and cleaning of bibliographic references from PDF and text documents as well as vector of references stored in an R object. Utilizing the power of the ‘anystyle’ Ruby gem, it segments references and converts them into structured formats suitable for analysis and use.
Economics in Europe has encountered a process of internationalisation since the 1970s. To a certain extent, this internationalisation is also an ‘Americanisation’ and many European departments and economics have adopted the standards of US economics, notably mathematical modelling, the use of econometrics, and the neoclassical theory as a modelling benchmark. Regarding this process, we can wonder if European economics has just been mimicking US economics since the 1970s, or if some European specialities have survived or emerged.
In this post, you will learn how to extract data from Scopus website or with Scopus APIs and how to clean the data extracted from Scopus website. These data allow you to build bibliographic networks.
When the temptation is growing in you to try your hand at quantitative methods, the first question is likely to be "but how can I do, and which tools should I learn to use?" I give here some arguments to engage yourself in learning R and then present different tutorials and R packages useful for historians of economics.
The objective of the project is to map the different channels through which economics influences the Bank and to understand how economic ideas impact (or do not impact) policy-making
I am very pleased to announce the initial release of biblionetwork to CRAN! biblionetwork is designed to build easily and quickly large list of edges for bibliometric networks. You can identify the edges for different types of network (bibliometric coupling or co-citation, or co-authorship networks) and use different methods to calculate the weights of edges.