The Effect: An Introduction to Research Design and Causality - Image 1

£39.89

Chapman and Hall/CRC The Effect: An Introduction to Research Design and Causality

Name: The Effect: An Introduction to Research Design and Causality
Brand: Chapman and Hall/CRC
Price: 38.76 GBP
Availability: InStock

Econometrics

Price History & Forecast

Last 59 days • 59 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 59 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £40 (33 days, 55.9%)

Price range: £39 - £40

Price levels: 3 different prices over 59 days

Description

The Effect: An Introduction to Research Design and Causality, Second edition is an excellent teaching text about research design, specifically concerning research that uses observational data to make a causal inference. It is separated into two halves, each with different approaches to that subject. The first half goes through the concepts of causality, with very little in the way of estimation. It introduces the concept of identification thoroughly and clearly and discusses it as a process of trying to isolate variation that has a causal interpretation. Subjects include heavy emphasis on data-generating processes and causal diagrams. Concepts are demonstrated with a heavy emphasis on graphical intuition and the question of what we do to data. When we “add a control variable” what does that actually do? The target audience is practitioners as well as undergraduate and graduate students studying causal inference in various fields such as statistics, econometrics, biostatistics, the social sciences and data science. Key Features: Extensive code examples in R, Stata, and Python Chapters on heterogeneous treatment effects, simulation and power analysis, new cutting-edge methods, and uncomfortable ignored assumptions An easy-to-read conversational tone Up-to-date coverage of methods with fast-moving literatures like difference-in-differences The second edition features a new chapter on partial identification, updated materials, methods, and writing throughout, and additional materials for help navigating the book or in using the book in teaching.

Key Features

New Store Stock

Product Specifications

Brand: Chapman and Hall/CRC
Format: paperback
ASIN: 1032580224
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 11 July 2025
Listed Since: 11 October 2024

Barcode

No barcode data available

Chapman and Hall/CRC The Effect: An Introduction to Research Design and Causality

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Fundamentals of Causal Inference: With R (Chapman & Hall/CRC Texts in Statistical Science)

Effect Sizes for Research: Univariate and Multivariate Applications, Second Edition

Cause and Effect Business Analytics and Data Science: For Big and Small Data (Chapman and Hall/CRC Series on Statistics in Business and Economics)

Effect Sizes for Research: Univariate and Multivariate Applications, Second Edition

Data Analysis for Social Science: A Friendly and Practical Introduction

Statistics and Causality: Methods for Applied Empirical Research: 2 (Wiley Series in Probability and Statistics)

Design and Analysis of Experiments and Observational Studies using R (Chapman & Hall/CRC Texts in Statistical Science)

A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science)

The A-Z of Error-Free Research

Introduction to Meta-Analysis, 2nd Edition

Epidemiology: Study Design and Data Analysis, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)

Introduction to Data Science: Data Wrangling and Visualization with R (Chapman & Hall/CRC Data Science Series)

Mendelian Randomization: Methods for Causal Inference Using Genetic Variants (Chapman & Hall/CRC Interdisciplinary Statistics)

Design of Experiments: An Introduction Based on Linear Models (Chapman & Hall/CRC Texts in Statistical Science)

Data Science and Machine Learning: Mathematical and Statistical Methods, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Understanding Regression Analysis: A Conditional Distribution Approach

Applied Meta-Analysis with R and Stata (Chapman & Hall/CRC Biostatistics Series)

Using R and RStudio for Data Management, Statistical Analysis, and Graphics

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Chapman & Hall/CRC The R Series)

Empirical Research in Accounting: Tools and Methods (Chapman and Hall/CRC Series on Statistics in Business and Economics)

Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

Explanation in Causal Inference: Methods for Mediation and Interaction

Mendelian Randomization: Methods for Causal Inference Using Genetic Variants (Chapman & Hall/CRC Interdisciplinary Statistics)

Introduction to Randomized Controlled Clinical Trials (Chapman & Hall/CRC Texts in Statistical Science)