Machine Learning for Econometrics
$129.07
- Paperback
352 pages
- Release Date
13 September 2025
Summary
Unleashing Machine Learning in Econometrics: A Practical Guide
Machine Learning for Econometrics empowers economists to master modern machine learning techniques. Discover how to leverage predictive power and innovative unstructured data handling to establish causal relationships from data.
This comprehensive guide explores:
- Automatic variable selection in high-dimensional settings
- Estimation of treatment effect heterogeneity
- Natural language …
Book Details
| ISBN-13: | 9780198918837 |
|---|---|
| ISBN-10: | 0198918836 |
| Author: | Christophe Gaillac, Jérémy L'Hour |
| Publisher: | Oxford University Press |
| Imprint: | Oxford University Press |
| Format: | Paperback |
| Number of Pages: | 352 |
| Release Date: | 13 September 2025 |
| Weight: | 605g |
| Dimensions: | 246mm x 170mm x 20mm |
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About The Author
Christophe Gaillac
Christophe Gaillac is an Associate Professor at the University of Geneva, GSEM. He was a postdoctoral prize research fellow at Oxford University and Nuffield College, and received his PhD in Economics from the Toulouse School of Economics.
Jérémy L’Hour is a quantitative researcher at Capital Fund Management (CFM), a Paris-based systematic hedge fund. He received his PhD in Economics from Université Paris-Saclay.
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