Leontief Documentation

Leontief is a C++ toolkit to work with economic Input-Output models. The pages serve as user documentation.

Overall Functionality Objectives

The overall design principle behind Leontief is to strike a balance between usability and performance when working with and/or developing algorithms and tools related to economic input-output systems. A key such design decision is to use a user-friendly C++ library for vector, matrix, tensor manipulations that offers a higher-level API similar e.g., to that of Matlab.

Leontief helps with a number of typical tasks in Environmentally Extended Input-Output modeling:

  • Pre-processing Input-Output tables using command line tools and ingesting IO matrices into a C++ environment for further calculations.
  • Solving typical EEIO problems using a library of tested algorithms.
  • Investigating ad-hoc research questions by writing new high-level code in the form scripts. In particular emphasize graph-oriented tools and calculations

The current focus of development is around utilizing the FIGARO dataset but all open databases will be integrated in due course.

Installation / Workflow

  • Clone the repository into your own work environment.
  • The command line scripts included in the leontief/scripts directory should be working immediately on a standard linux distribution (or Windows WSL).

Dependencies

A major part of Leontief is a specialized EEIO C++ library that leverages other lower level C++ libraries. To augment or rebuild the library from source you will need to have first a working C++ toolchain that can compile modern C++.

Conan is recommended as a means to pull in dependencies but is not absolutely required. The current dependency list includes:

  • The eigen library providing vector,matrix,tensor containers and linear algebra algorithms
  • The poco library providing general purpose facilities
  • The catch2 library for testing

For compiling the C++ code, Leontief uses cmake.

Testing

There is a suit of catch2 based tests that help verify that everything is installed and running properly.

Conan Installation

  • pip install conan
  • conan install . –output-folder=cmake-build-debug –build=missing -s build_type=Debug