Input-Output analysis and modelling with MARIO

This repository includes all the supporting materials adopted in the "Input-Output analysis and modelling with MARIO" courses, developed in the SESAM research group, Department of Energy Politecnico di Milano.

Just download the "Teaching materials" zipped folder and unzip it on your computer in order to navigate the files. 

The objective of these courses is to provide with deep competences on how to perform impact assessment analyses, in particular on the understanding and adoption of input-output analyses and models.

In practical terms, students will learn how to use MARIO, an open-source Python library designed to ease input-output tables handling and to improve efficiency and replicability of input-output analyses. Please, note that a very basic knowledge of the Python language is required; however, instructions are meant to be understood also by non-Python users.

Link to MARIO repository on Zenodo here.
Link to MARIO documentation here.

N.B. The repository includes data directly or indirectly coming from Exiobase 3.8.2. The authors of this repository acknowledge thankfully the Exiobase authors. For further information please visit Exiobase repository at the following link.

Credits for the mentioned material to:
Stadler, Konstantin, Wood, Richard, Bulavskaya, Tatyana, Södersten, Carl-Johan, Simas, Moana, Schmidt, Sarah, Usubiaga, Arkaitz, Acosta-Fernández, José, Kuenen, Jeroen, Bruckner, Martin, Giljum, Stefan, Lutter, Stephan, Merciai, Stefano, Schmidt, Jannick H, Theurl, Michaela C, Plutzar, Christoph, Kastner, Thomas, Eisenmenger, Nina, Erb, Karl-Heinz, … Tukker, Arnold. (2021). EXIOBASE 3 (3.8.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5589597