MACHINE LEARNING AND ECONOMETRICS

Cheng Hsiao

The Singapore Economic Review (SER), 2024, vol. 69, issue 04, 1601-1616

Abstract: The fundamental methodologies of machine learning and econometrics are reviewed. We also discuss the challenges of integrating the data-driven and model-based causal approaches and conjecture how it may yield new insights to empirical economic studies.

Keywords: Machine learning; causal analysis; ceteris paribus; mutatis mutandis (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0217590824450127

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