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Applied Economics Letters Volume 28, 2021 - Issue 16
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Research Article

Improving econometric prediction by machine learning

Giovanni CerulliCNR-IRCRES, Research Institute on Sustainable Economic Growth, National Research Council of Italy, Rome, ItalyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-5892-3372
ORCID Icon
Pages 1419-1425 | Published online: 14 Sep 2020

References

  • Angrist, J. D., and J. S. Pischke. 2010. “The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con Out of Econometrics.” Journal of Economic Perspectives 24 (2): 3–30. doi:10.1257/jep.24.2.3.
  • Athey, S. 2019. “The Impact of Machine Learning on Economics“. In: The Economics of Artificial Intelligence: An Agenda, edited by A. Agrawal, J. Gans, and A. Goldfarb, 507–547, University of Chicago Press, Chicago
  • Athey, S., and G. W. Imbens. 2017. “The State of Applied Econometrics: Causality and Policy Evaluation.” Journal of Economic Perspectives 31 (2): 3–32. doi:10.1257/jep.31.2.3.
  • Athey, S., and S. Wager. 2017. “Efficient Policy Estimation”. arXiv preprint arXiv:1702.02896. https://arxiv.org/abs/1702.02896.
  • Belloni, A., V. Chernozhukov, and C. Hansen. 2014. “High-Dimensional Methods and Inference on Structural and Treatment Effects.” Journal of Economic Perspectives 28 (2): 29–50. doi:10.1257/jep.28.2.29.
  • Escanciano, J. C., D. Jacho-Chvez, and A. Lewbel. 2014. “Uniform Convergence of Weighted Sums of Non- and Semi-parametric Residuals for Estimation and Testing.” Journal of Econometrics 178: 426–443. doi:10.1016/j.jeconom.2013.06.004.
  • Hastie, T., R. Tibshirani, and J. Friedman. 2001. The Elements of Statistical Learning - Data Mining, Inference, and Prediction. Berlin: Springer-Verlag.
  • Mullainathan, S., and J. Spiess. 2017. “Machine Learning: An Applied Econometric Approach.” Journal of Economic Perspectives 31 (2): 87–106.
  • Van der Laan, M. J., and S. Rose. 2011. Targeted Learning: Causal Inference for Observational and Experimental Data. Heidelberg: Springer.
  • Varian, H. R. 2014. “Big Data: New Tricks for Econometrics.” Journal of Economic Perspectives 28 (2): 3–28. doi:10.1257/jep.28.2.3.
  • Zhou, Z. H. 2012. Ensemble Methods: Foundations and Algorithms. London, UK:CRC Press.

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