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Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R - Couverture souple

Huber, Martin

 
9780262545914: Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R
Couverture souple
ISBN 10 : 0262545918 ISBN 13 : 9780262545914
Editeur : The MIT Press, 2023

Synopsis

A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.

Reasoning about cause and effect—the consequence of doing one thing versus another—is an integral part of our lives as human beings. In an increasingly digital and data-driven economy, the importance of sophisticated causal analysis only deepens.  Presenting the most important quantitative methods for evaluating causal effects, this textbook provides graduate students and researchers with a clear and comprehensive introduction to the causal analysis of empirical data. Martin Huber’s accessible approach highlights the intuition and motivation behind various methods while also providing formal discussions of key concepts using statistical notation. Causal Analysis covers several methodological developments not covered in other texts, including new trends in machine learning, the evaluation of interaction or interference effects, and recent research designs such as bunching or kink designs.

  • Most complete and cutting-edge introduction to causal analysis, including causal machine learning 
  • Clean presentation of rigorous material avoids extraneous detail and emphasizes conceptual analogies over statistical notation
  • Supplies a range of applications and practical examples using R

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Martin Huber is Professor of Applied Econometrics at the University of Fribourg, Switzerland, where his research comprises both methodological and applied contributions in the fields of causal analysis and policy evaluation, machine learning, statistics, econometrics, and empirical economics.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
The MIT Press
Date d'édition
2023
Langue
anglais
ISBN 10 
0262545918
ISBN 13 
9780262545914
Reliure
Broché
Nombre de pages
336
Coordonnées du fabricant
non disponible
Personne responsable
non disponible