Get Free Shipping on orders over $79
Causal Analysis : Impact Evaluation and Causal Machine Learning with Applications in R - Martin Huber

Causal Analysis

Impact Evaluation and Causal Machine Learning with Applications in R

By: Martin Huber

eText | 1 August 2023

At a Glance

eText


$70.90

or 4 interest-free payments of $17.73 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

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
on
Desktop
Tablet
Mobile

More in Econometrics

The Philosophy Of Money - Rohit Patel

eBOOK

The Comeback Kings - Michael Smith

eBOOK

The Crypto Black Book - Dan Cook

eBOOK

RRP $35.19

$31.99

Risk to Riches - Eugene Daniels

eBOOK

$23.99

The Silent Signal - MILES TRIDENT

eBOOK