Input-Output Models with Python

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Summary:

This course is a DeepDive with nine segments, exploring Input-Output models using Python and the pymrio library. The course is at a core technical level. It requires working familiarity with python, basic linear algebra and elements of economic systems. Step by step we explore how one can define and perform useful operations in Environmentally Extended Input-Output Analysis.

Content:

This course is the first installment of a series dedicated to EEIO models. The focus here is on thorough familiarization with the python environment and the pymrio package in particular and understanding the general structure and abilities of such model. Specifically:

  • We get exposed to the concept and structure of Input-Output Models
  • We create a variety of stylized IO models in Python
  • We perform basic IO related workflows as those are facilitated by the pymrio package

More in-depth discussion of economic and mathematical aspects of EEIO models is given in the seminal Miller Blair Book, which is recommended reading. The material we cover in this course is contained mostly in Chapter 2 of that book (Foundations of Input–Output Analysis)

Course Level and Type:

The course requires some prior knowledge of python (and indeed prior programming knowledge in some language is required), basic linear algebra (linear systems, matrices) and (very) basic economics.

Introductory Level Core Level Advanced Level
Non-Technical
Technical DeepDive
SFI32064
Course Classification Table

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