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Machine learning for econometrics / Christophe Gaillac, Jérémy L'Hour.
- Format:
- Book
- Author/Creator:
- Gaillac, Christophe, author.
- L'Hour, Jérémy, author.
- Series:
- Oxford scholarship online.
- Oxford scholarship online
- Language:
- English
- Subjects (All):
- Econometrics.
- Machine learning.
- Physical Description:
- 1 online resource (353 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Oxford University Press 2025
- Summary:
- Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in order to establish causal relationships from data.
- Contents:
- Authors 1 Introduction Part I. Statistics and Econometrics Prerequisites Part II. High-dimension and variable selection Part III. Treatment effect heterogeneity Part IV. Aggregated data and macroeconomic forecasting Part V. Textual data Part VI. Exercises Untitled
- Notes:
- Includes bibliographical references and index.
- Description based on online resource and publisher information; title from PDF title page (viewed on April 23, 2025).
- ISBN:
- 0-19-891886-0
- 0-19-891884-4
- OCLC:
- 1517015772
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