An Introduction to Machine Learning for Panel Data

Machine learning has dramatically expanded the range of tools for evaluating economic panel data. This paper applies a variety of machine-learning methods to the Boston housing dataset, an iconic proving ground for machine learning. Though machine learning often lacks the overt interpretability of l...

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Veröffentlicht in:	International advances in economic research 2021-02, Vol.27 (1), p.1-16
1. Verfasser:	Chen, James Ming
Format:	Artikel
Sprache:	eng
Schlagworte:	Economic Growth Economics Economics and Finance International Economics Longitudinal studies Machine learning Macroeconomics/Monetary Economics//Financial Economics Microeconomics
Online-Zugang:	Volltext
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