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  • 3 - Relevant Data and Empirical Challenges

  • from Part I - A Complexity Approach to Sustainable Development
  • Omar A. Guerrero, The Alan Turing Institute, London, Gonzalo Castañeda, Centro de Investigación y Docencia Económicas
  • Book:
    Complexity Economics and Sustainable Development
    Published online:
    04 January 2024
    Print publication:
    25 January 2024, pp 53-103

  • Summary

    This chapter introduces the reader to the public datasets that we employ in most of the applications developed in the book. This information is our main input to provide a worldwide view of the state of sustainable development and how it responds to government expenditure. In light of this global database on development indicators, we also describe the most popular analytic tools and their limitations. Finally, we reflect on the main empirical challenges that researchers face when studying sustainable development with these data and motivate the methodological proposal of the book.