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3 - Relevant Data and Empirical Challenges

from Part I - A Complexity Approach to Sustainable Development

Published online by Cambridge University Press:  04 January 2024

Omar A. Guerrero  and
Gonzalo Castañeda
Omar A. Guerrero
Affiliation:
The Alan Turing Institute, London
Gonzalo Castañeda
Affiliation:
Centro de Investigación y Docencia Económicas
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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.

Keywords

development indicatorsSDGsexpenditure databenchmark analysisregressionsgeneral equilibriumsystem dynamicsnetwork analysis

Information

Type
Chapter
Information
Complexity Economics and Sustainable Development
A Computational Framework for Policy Priority Inference
 , pp. 53 - 103
Publisher: Cambridge University Press
Print publication year: 2024
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This content is Open Access and distributed under the terms of the Creative Commons Attribution licence CC-BY-NC 4.0 https://creativecommons.org/cclicenses/

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