Predicting a Country’s Growth: A First Look

Atin Basuchoudhary, James Bang and Tinni Sen
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Tinni Sen: Virginia Military Institute

Chapter Chapter 4 in Machine-learning Techniques in Economics, 2017, pp 29-36 from Springer

Abstract: Abstract In this chapter, we run different algorithm techniques to identify the algorithms that best predict growth. We show how machine learning can be used to validate different growth models. We suggest that validated algorithms enhance the confidence academics should place on any given theoretical growth model. We then show how machine learning can help researchers understand what kinds of concepts may make theoretical growth models more complete.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spbchp:978-3-319-69014-8_4

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DOI: 10.1007/978-3-319-69014-8_4

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